KDD2021
November 8, 2025 · View on GitHub
会议论文列表
本会议共有 452 篇论文
| 序号 | 标题 | 链接 | 推荐理由 | 推荐度 | 摘要 | 作者 | 组织 |
|---|---|---|---|---|---|---|---|
| 1 | Embedding-based Product Retrieval in Taobao Search | 0 | Fuyu Lv, Guli Lin, Keping Yang, Qianli Ma, Sen Li, Taiwei Jin, XiaoMing Wu, Xiaoyi Zeng | ||||
| 2 | Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction | 0 | Alexander Tuzhilin, Maofei Que, Pan Li, Yao Hu, Zhichao Jiang | ||||
| 3 | SEMI: A Sequential Multi-Modal Information Transfer Network for E-Commerce Micro-Video Recommendations | 0 | Chenyi Lei, Chunyan Miao, Guoxin Wang, Haihong Tang, Houqiang Li, Lingzi Zhang, Yong Liu | ||||
| 4 | Que2Search: Fast and Accurate Query and Document Understanding for Search at Facebook | 0 | Fedor Borisyuk, Kaushik Rangadurai, Siddarth Malreddy, Xiaoyi Liu, Xunlong Gui, Yiqun Liu, Yunzhong He | ||||
| 5 | Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising | 0 | Dongbo Xi, Fuzhen Zhuang, Peng Yan, Yinger Zhang, Yongchun Zhu, Yu Chen, Zhen Chen | ||||
| 6 | A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps | 0 | Guillaume SalhaGalvan, Léa Briand, Mathieu Morlon, VietAnh Tran, Walid Bendada | ||||
| 7 | Extreme Multi-label Learning for Semantic Matching in Product Search | 0 | ChoonHui Teo, Daniel L. Jiang, HsiangFu Yu, Inderjit S. Dhillon, Japinder Singh, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Nikhil Shandilya, Qie Hu, Vyacheslav Ievgrafov, WeiCheng Chang | ||||
| 8 | Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation | 0 | Dongdong Chen, Dongsheng Li, Jinfeng Yi, Qi Liu, Sanshi Yu, Shanshan Feng, Zhuoxuan Jiang | ||||
| 9 | Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems | 0 | Chang Zhou, Hongxia Yang, Jianwei Zhang, Jianxin Ma, Jingren Zhou | ||||
| 10 | Deep Learning Embeddings for Data Series Similarity Search | 0 | Qitong Wang, Themis Palpanas | ||||
| 11 | Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search | 0 | Bo Zheng, Cai Xu, Guang Qiu, Hao Liu, Hongchang Wu, Jian Xu, Qingyu Cao, Sheng Li, Wei Zhao, Ziyu Guan | ||||
| 12 | Session-Aware Query Auto-completion using Extreme Multi-Label Ranking | 0 | Arya Mazumdar, Daniel N. Hill, Inderjit S. Dhillon, Nishant Yadav, Rajat Sen | ||||
| 13 | Learning Elastic Embeddings for Customizing On-Device Recommenders | 0 | Hongzhi Yin, Meng Wang, Tong Chen, Yang Wang, Yujia Zheng, Zi Huang | ||||
| 14 | Efficient Data-specific Model Search for Collaborative Filtering | 0 | Chen Gao, Depeng Jin, Quanming Yao, Yong Li | ||||
| 15 | Dual Graph enhanced Embedding Neural Network for CTR Prediction | 0 | Huifeng Guo, Renhao Tan, Rong Su, Ruiming Tang, Wei Guo, Xiuqiang He, Yingxue Zhang, Zhirong Liu | ||||
| 16 | PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models | 0 | Bing He, Mustaque Ahamad, Srijan Kumar | ||||
| 17 | Joint Graph Embedding and Alignment with Spectral Pivot | 0 | Aritra Konar, Nicholas D. Sidiropoulos, Paris A. Karakasis | ||||
| 18 | Learning to Embed Categorical Features without Embedding Tables for Recommendation | 0 | Derek Zhiyuan Cheng, Ed H. Chi, Lichan Hong, Tiansheng Yao, Ting Chen, WangCheng Kang, Xinyang Yi | ||||
| 19 | An Embedding Learning Framework for Numerical Features in CTR Prediction | 0 | Bo Chen, Huifeng Guo, Ruiming Tang, Weinan Zhang, Xiuqiang He, Zhenguo Li | ||||
| 20 | HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps | 0 | Chunyuan Yuan, Haifeng Wang, Jizhou Huang, Miao Fan, Yawen Li, Yibo Sun, Zhengjie Huang | ||||
| 21 | Sliding Spectrum Decomposition for Diversified Recommendation | 0 | Lei Zhang, Ruiwen Xu, Weikun Wang, Yanhua Huang | ||||
| 22 | Pre-trained Language Model for Web-scale Retrieval in Baidu Search | 0 | Daiting Shi, Dawei Yin, Shuaiqiang Wang, Suqi Cheng, Weixue Lu, Yiding Liu, Zhicong Cheng | ||||
| 23 | VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search | 0 | Gaurav Srivastava, Maxim Sviridenko, Mikhail Kuznetsov, Shaunak Mishra | ||||
| 24 | Diversity driven Query Rewriting in Search Advertising | 0 | Akash Kumar Mohankumar, Amit Singh, Nikit Begwani | ||||
| 25 | Device-Cloud Collaborative Learning for Recommendation | 0 | Bo Han, Feng Wang, Hongxia Yang, Jiangchao Yao, Jingren Zhou, Kunyang Jia | ||||
| 26 | AutoLoss: Automated Loss Function Search in Recommendations | 0 | Chong Wang, Haochen Liu, Hui Liu, Jiliang Tang, Wenqi Fan, Xiangyu Zhao | ||||
| 27 | Pre-trained Language Model based Ranking in Baidu Search | 0 | Daiting Shi, Dawei Yin, Dehong Ma, Hengyi Cai, Lixin Zou, Shengqiang Zhang, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng | ||||
| 28 | Multi-Objective Recommendations | 0 | David (Xuejun) Wang, Yong Zheng | ||||
| 29 | Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research | 0 | David S. Matteson, MarieChristine Düker, MeiLing E. Feng, Michael Jauch, Mila Getmansky Sherman, Olukunle O. Owolabi, Ryan M. McGranaghan, Sean E. Ryan, Toryn L. J. Schafer | ||||
| 30 | Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings | 0 | BoWen Yuan, ChihJen Lin, Pengrui Quan, YuSheng Li | ||||
| 31 | Debiasing Learning based Cross-domain Recommendation | 0 | Bolin Ding, JiRong Wen, Liuyi Yao, Shanlei Mu, Siqing Li, Tonglei Guo, Wayne Xin Zhao, Yaliang Li | ||||
| 32 | Topology Distillation for Recommender System | 0 | Hwanjo Yu, Junyoung Hwang, SeongKu Kang, Wonbin Kweon | ||||
| 33 | MaNIACS: Approximate Mining of Frequent Subgraph Patterns through Sampling | 0 | Gianmarco De Francisci Morales, Giulia Preti, Matteo Riondato | ||||
| 34 | Simple Yet Efficient Algorithms for Maximum Inner Product Search via Extreme Order Statistics | 0 | Ninh Pham | ||||
| 35 | Norm Adjusted Proximity Graph for Fast Inner Product Retrieval | 0 | Hongliang Fei, Ping Li, Shulong Tan, Weijie Zhao, Zhaozhuo Xu, Zhixin Zhou | ||||
| 36 | Deconfounded Recommendation for Alleviating Bias Amplification | 0 | Fuli Feng, TatSeng Chua, Wenjie Wang, Xiang Wang, Xiangnan He | ||||
| 37 | Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System | 0 | Fuli Feng, Jiawei Chen, Jinfeng Yi, Tianxin Wei, Xiangnan He, Ziwei Wu | ||||
| 38 | H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks | 0 | Can Wang, Chengwei Yao, Jiajun Bu, Martin Ester, Zhao Li, Zhen Zhang, Zhi Yu | ||||
| 39 | Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation | 0 | Hao Gu, Jiawei Zheng, Qianli Ma, Zhenjing Zheng | ||||
| 40 | Popularity Bias in Dynamic Recommendation | 0 | James Caverlee, Xing Zhao, Yun He, Ziwei Zhu | ||||
| 41 | Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter | 0 | Angshul Majumdar, Anil Bandhakavi, Dhruv Sahnan, Shalini Sharma, Snehil Dahiya, Tanmoy Chakraborty, Vasu Goel, Víctor Elvira, Émilie Chouzenoux | ||||
| 42 | Globally Optimized Matchmaking in Online Games | 0 | Changjie Fan, Hao Li, Jianrong Tao, Kai Wang, Linxia Gong, Peng Cui, Qilin Deng, Runze Wu, Zhipeng Hu | ||||
| 43 | Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling | 0 | Guorui Zhou, Siyu Gu, XiangRong Sheng, Xiaoqiang Zhu, Ying Fan | ||||
| 44 | We Know What You Want: An Advertising Strategy Recommender System for Online Advertising | 0 | Chuan Yu, Fan Wu, Fei Pan, Haiyang Xu, Haoqi Zhang, Junqi Jin, Liyi Guo, Lvyin Niu, Xiaoqiang Zhu, Yuning Jiang, Zhenzhe Zheng, Zhiye Yang, Zhizhuang Xing | ||||
| 45 | Adversarial Feature Translation for Multi-domain Recommendation | 0 | Kaikai Ge, Leyu Lin, Linyao Tang, Ruobing Xie, Xiaobo Hao, Xu Zhang, Yudan Liu | ||||
| 46 | FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters | 0 | Ce Zhang, Gustavo Alonso, Jiansong Zhang, Jingren Zhou, Kai Zeng, Liang Feng, Shuai Zhang, Tongxuan Liu, Wenqi Jiang, Yong Li, Zhenhao He | ||||
| 47 | Architecture and Operation Adaptive Network for Online Recommendations | 0 | Jianxin Zhao, Jixing Xu, Lang Lang, Minghui Shan, Xuanye Liu, Zhenlong Zhu | ||||
| 48 | Large-Scale Network Embedding in Apache Spark | 0 | Wenqing Lin | ||||
| 49 | Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature | 0 | Chenyan Xiong, Cliff Wong, Eric Horvitz, Hao Cheng, Hoifung Poon, Jianfeng Gao, Jinchao Li, Naoto Usuyama, Paul N. Bennett, Richard Rogahn, Robert Tinn, Tristan Naumann, Yang Qin, Yu Wang, Zhihong Shen | ||||
| 50 | FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data | 0 | Bolin Ding, Ce Zhang, Jingren Zhou, Minlie Huang, Nezihe Merve Gürel, Wei Lin, Yaliang Li, Yuexiang Xie, Zhen Wang | ||||
| 51 | Towards the D-Optimal Online Experiment Design for Recommender Selection | 0 | Chuanwei Ruan, Da Xu, Evren Körpeoglu, Kannan Achan, Sushant Kumar | ||||
| 52 | AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba | 0 | Gang Huang, Hongbin Ye, Huaixiao Tou, Huajun Chen, Hui Chen, Nengwei Hua, Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Zhao Wang | ||||
| 53 | Machine Learning Robustness, Fairness, and their Convergence | 0 | Hwanjun Song, JaeGil Lee, Steven Euijong Whang, Yuji Roh | ||||
| 54 | High-Dimensional Similarity Query Processing for Data Science | 0 | Chuan Xiao, Jianbin Qin, Wei Wang, Yaoshu Wang, Ying Zhang | ||||
| 55 | Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond | 0 | Chu Wang, Daniel Jiang, Haipeng Luo, Yingfei Wang | ||||
| 56 | Aggregating Complex Annotations via Merging and Matching | 0 | Alexander Braylan, Matthew Lease | ||||
| 57 | Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility | 0 | Changshui Zhang, Fei Wang, Sen Cui, Weishen Pan | ||||
| 58 | Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages | 0 | Chloe Wohlgemuth, Cyrus Cousins, Matteo Riondato | ||||
| 59 | DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks | 0 | Huan Zhao, Quanming Yao, Tong Zhang, Yuhui Ding | ||||
| 60 | Individual Fairness for Graph Neural Networks: A Ranking based Approach | 0 | Hanghang Tong, Jian Kang, Jundong Li, Yushun Dong | ||||
| 61 | Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints | 0 | David GarcíaSoriano, Francesco Bonchi | ||||
| 62 | MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems | 0 | Jie Tang, Ming Ding, Tinglin Huang, Wenzheng Feng, Xinyu Wang, Yuxiao Dong, Zhen Yang | ||||
| 63 | A Broader Picture of Random-walk Based Graph Embedding | 0 | Ambuj K. Singh, Arlei Silva, Zexi Huang | ||||
| 64 | Towards a Better Understanding of Linear Models for Recommendation | 0 | Dong Li, Jing Gao, Li Chen, Ruoming Jin, Yang Zhou, Zhi Liu | ||||
| 65 | A Hyper-surface Arrangement Model of Ranking Distributions | 0 | Akira Horiguchi, Shizuo Kaji, Takuro Abe, Yohsuke Watanabe | ||||
| 66 | Preference Amplification in Recommender Systems | 0 | Dimitris Kalimeris, Shankar Kalyanaraman, Smriti Bhagat, Udi Weinsberg | ||||
| 67 | A Color-blind 3-Approximation for Chromatic Correlation Clustering and Improved Heuristics | 0 | Arthur Zahn, Davis Issac, Katrin Casel, Lars Seifert, Nicolas Klodt, Tobias Friedrich | ||||
| 68 | Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization | 0 | Patrick Koch, Shunping Huang, Xuejun Liao, Yan Xu | ||||
| 69 | Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning | 0 | Danyang Liu, Guangzhong Sun, Jianxun Lian, Xing Xie, Xiting Wang, Zheng Liu | ||||
| 70 | Learning to Recommend Visualizations from Data | 0 | Eunyee Koh, Fan Du, Joel Chan, Ryan A. Rossi, Sana Malik, Sungchul Kim, Tak Yeon Lee, Xin Qian | ||||
| 71 | ImGAGN: Imbalanced Network Embedding via Generative Adversarial Graph Networks | 0 | Hongzhi Yin, Huaisheng Zhu, Liang Qu, Ruiqi Zheng, Yuhui Shi | ||||
| 72 | Retrieval & Interaction Machine for Tabular Data Prediction | 0 | Jiarui Qin, Rong Su, Ruiming Tang, Weinan Zhang, Weiwen Liu, Xiuqiang He, Yong Yu, Zhirong Liu | ||||
| 73 | Spectral Clustering of Attributed Multi-relational Graphs | 0 | Claudia Plant, Sahar Behzadi, Ylli Sadikaj, Yllka Velaj | ||||
| 74 | MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning | 0 | Chuishi Meng, Huimin Ren, Jie Bao, Ruiyuan Li, Sijie Ruan, Yanhua Li, Yu Zheng | ||||
| 75 | Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes | 0 | Anit Kumar Sahu, Devin Willmott, J. Zico Kolter, Satya Narayan Shukla | ||||
| 76 | Triangle-aware Spectral Sparsifiers and Community Detection | 0 | Charalampos E. Tsourakakis, Konstantinos Sotiropoulos | ||||
| 77 | Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets | 0 | Nalini Venkatasubramanian, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy | ||||
| 78 | Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control | 0 | Rui Song, Runzhe Wan, Xinyu Zhang | ||||
| 79 | Approximate Graph Propagation | 0 | Hanzhi Wang, JiRong Wen, Mingguo He, Sibo Wang, Xiaoyong Du, Ye Yuan, Zhewei Wei | ||||
| 80 | Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning | 0 | Alex Beutel, Ed H. Chi, Flavien Prost, Jilin Chen, Xuezhi Wang, Yuyan Wang | ||||
| 81 | Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems | 0 | Chenwang Wu, Defu Lian, Enhong Chen, Yong Ge, Zhihao Zhu | ||||
| 82 | Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment | 0 | Hao Xiong, Junchi Yan, Li Pan | ||||
| 83 | NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search | 0 | Jian Li, Jin Xu, Kaitao Song, Renqian Luo, Tao Qin, TieYan Liu, Xu Tan | ||||
| 84 | Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space | 0 | Irwin King, Marcus Kalander, Menglin Yang, Min Zhou, Zengfeng Huang | ||||
| 85 | Socially-Aware Self-Supervised Tri-Training for Recommendation | 0 | Hongzhi Yin, Junliang Yu, Min Gao, Nguyen Quoc Viet Hung, Xiangliang Zhang, Xin Xia | ||||
| 86 | Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data | 0 | Changxin Tian, Hengtong Zhang, Jing Gao, Lu Su, Nan Yang, Wayne Xin Zhao, Yaliang Li | ||||
| 87 | Attentive Heterogeneous Graph Embedding for Job Mobility Prediction | 0 | Ding Zhou, Enhong Chen, Hengshu Zhu, Hui Xiong, Le Zhang, Rui Zha, Tong Xu | ||||
| 88 | Where are we in embedding spaces? | 0 | Guandong Xu, Hongxu Chen, Hongzhi Yin, Lizhen Cui, Sixiao Zhang, Xiao Ming | ||||
| 89 | Learning Based Proximity Matrix Factorization for Node Embedding | 0 | Kun Xie, Sibo Wang, Xingyi Zhang, Zengfeng Huang | ||||
| 90 | Multi-Task Learning via Generalized Tensor Trace Norm | 0 | Wei Wang, Yi Zhang, Yu Zhang | ||||
| 91 | Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems | 0 | Boyang Li, Chunyan Miao, Hao Wang, Yinan Zhang, Yong Liu | ||||
| 92 | Table2Charts: Recommending Charts by Learning Shared Table Representations | 0 | Daxin Jiang, Dongmei Zhang, Mengyu Zhou, Qingtao Li, Shi Han, Wei Ji, Xinyi He, Yibo Liu, Yining Chen, Yuejiang Li | ||||
| 93 | PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network | 0 | Evren Körpeoglu, Jianpeng Xu, Jingrui He, Jun Wu, Kannan Achan, Yao Zhou, Zeinab Taghavi Nasrabadi | ||||
| 94 | Quantifying and Addressing Ranking Disparity in Human-Powered Data Acquisition | 0 | Ahmad Ghizzawi, Anas Hosami, Shady Elbassuoni, Sihem AmerYahia | ||||
| 95 | Auto-Split: A General Framework of Collaborative Edge-Cloud AI | 0 | Amin BanitalebiDehkordi, Fei Xia, Jian Pei, Lanjun Wang, Naveen Vedula, Yong Zhang | ||||
| 96 | VisRel: Media Search at Scale | 0 | Anthony Bell, Fedor Borisyuk, Jun Mei, Kaushik Rangadurai, Piyush Maheshwari, Siddarth Malreddy, Xiaoyi Liu, Yiqun Liu | ||||
| 97 | GEM: Translation-Free Zero-Shot Global Entity Matcher for Global Catalogs | 0 | Karim Bouyarmane | ||||
| 98 | Curriculum Meta-Learning for Next POI Recommendation | 0 | Jizhou Huang, Miao Fan, Shengwen Yang, Wenwu Zhu, Xin Wang, Yudong Chen | ||||
| 99 | Meta-Learned Spatial-Temporal POI Auto-Completion for the Search Engine at Baidu Maps | 0 | Haifeng Wang, Jizhou Huang, Miao Fan, Yibo Sun, Ying Li | ||||
| 100 | Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism | 0 | Arun Kejariwal, Dhruv Choudhary, Kannan Ramchandran, Michael W. Mahoney, Ping Tak Peter Tang, Vipul Gupta, Xiaohan Wei, Xing Wang, Yuzhen Huang | ||||
| 101 | MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks | 0 | Abdul Quamar, Chuan Lei, Fatma Özcan, Junheng Hao, Vasilis Efthymiou, Wei Wang, Yizhou Sun | ||||
| 102 | Neural Instant Search for Music and Podcast | 0 | Aasish Pappu, Benjamin A. Carterette, Helia Hashemi, Mi Tian, Mounia Lalmas, Praveen Chandar | ||||
| 103 | Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach | 0 | Cheng Yang, Huan Xu, Junhao Hua, Ling Yan | ||||
| 104 | Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters | 0 | BorYiing Su, Dhruv Choudhary, Hai Zheng, Jack Langman, Jiyan Yang, Shivam Bharuka, Xiaohan Wei, Xing Wang, Yuzhen Huang, Zewei Jiang | ||||
| 105 | Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding | 0 | Dan Pei, Jiaqi Han, Rui Jiao, Xidao Wen, Ya Su, Youjian Zhao, Zhihan Li | ||||
| 106 | Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework | 0 | Han Su, Kai Zeng, Kai Zheng, Shuncheng Liu, Yan Zhao | ||||
| 107 | Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising | 0 | Chuan Yu, Da Huo, Dagui Chen, Fan Wu, Guihai Chen, Hongtao Lv, Jian Xu, Xiangyu Liu, Xiaoqiang Zhu, Yiqing Wang, Yu Rong, Zhenzhe Zheng, Zhilin Zhang | ||||
| 108 | AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce | 0 | Jinhang Wu, Keping Yang, Le Bo, Lin Li, Xusheng Luo, Yonghua Yang, Zhiy Luo | ||||
| 109 | SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce | 0 | Andrea Nestler, Karl Hajjar, Nour Karessli, Reza Shirvany, Rodrigo Weffer | ||||
| 110 | Bootstrapping Recommendations at Chrome Web Store | 0 | Dan Chary Chen, Honglei Zhuang, Marc Najork, Michael Bendersky, Po Hu, Rolf Jagerman, Xinyu Qian, Xuanhui Wang, Zhen Qin | ||||
| 111 | Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries | 0 | Ajit Apte, Allen Wu, Ambarish Jash, Amol Wankhede, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Ellie Ka In Chio, Harry Fung, HengTze Cheng, Jon Effrat, Moustafa Alzantot, Nitin Jindal, Pei Cao, Santiago Ontañón, Sarvjeet Singh, Senqiang Zhou, Sukhdeep S. Sodhi, Tameen Khan, Tarush Bali, Tushar Chandra | ||||
| 112 | Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability | 0 | Ha Xuan Tran, Jiuyong Li, Jixue Liu, Lin Liu, Thuc Duy Le, Tony Waters, Yanchang Zhao | ||||
| 113 | Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines | 0 | Desheng Zhang, Guang Wang, Huijun Sun, Shuai Wang, Zheng Dong, Zhou Qin | ||||
| 114 | Talent Demand Forecasting with Attentive Neural Sequential Model | 0 | Fuzhen Zhuang, Hao Liu, Hengshu Zhu, Hui Xiong, Qi Zhang, Ying Sun | ||||
| 115 | MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal | 0 | Dejing Dou, Hao Liu, Hengshu Zhu, Hui Xiong, Ji Liu, Lijun Zha, Weijia Zhang | ||||
| 116 | Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising | 0 | Fuzhen Zhuang, Juan Cao, Kaikai Ge, Leyu Lin, Ruobing Xie, Xiaobo Hao, Xu Zhang, Yongchun Zhu, Yudan Liu | ||||
| 117 | Creating Recommender Systems Datasets in Scientific Fields | 0 | Francisco M. Couto, Matilde Pato, Márcia Barros, Pedro Ruas | ||||
| 118 | Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors | 0 | Ji Liu, Peng Cui, Philip S. Yu, Xiaowei Wang, Yancheng Dong, Yue He, Yuhang Jiao | ||||
| 119 | MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning | 0 | Chengyu Wang, Deng Cai, Haiqing Chen, Haojie Pan, Jun Huang, Kehan Chen, Minghui Qiu, Wei Lin, Wei Zhou, Yuan Liu | ||||
| 120 | Causal Models for Real Time Bidding with Repeated User Interactions | 0 | Alexandre Gilotte, Benjamin Heymann, Martin Bompaire | ||||
| 121 | Fast Rotation Kernel Density Estimation over Data Streams | 0 | Chao Deng, Junzhou Zhao, Peng Jia, Pinghui Wang, Rundong Li, Runze Lei, Xiaohong Guan | ||||
| 122 | ROD: Reception-aware Online Distillation for Sparse Graphs | 0 | Bin Cui, Liang Wang, Wentao Zhang, Xupeng Miao, Yang Li, Yu Shen, Yuezihan Jiang, Zeang Sheng, Zhi Yang | ||||
| 123 | Temporal Biased Streaming Submodular Optimization | 0 | Chao Deng, Jing Tao, Junzhou Zhao, Pinghui Wang | ||||
| 124 | On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition | 0 | ChingYuan Bai, Colin Raffel, HsuanTien Lin, Wendy Chiwen Kan | ||||
| 125 | Deep Learning based Crop Row Detection with Online Domain Adaptation | 0 | Mohammad Al Hasan, Rashed Doha, Sohel Anwar, Veera Rajendran | ||||
| 126 | Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning | 0 | Chao Du, Jian Xu, KuangChih Lee, Kun Gai, Lining Gao, Shuo Yuan, Xiaoqiang Zhu, Yifan Zeng, Zhifeng Gao, Ziyan Li | ||||
| 127 | Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud | 0 | Amaresh Ankit Siva, Ashish Rathi, ErhYuan Tsai, Jason Gelman, John He, Keerthan Vasist, Kevin Haas, Krishnaram Kenthapadi, Michaela Hardt, Michele Donini, Muhammad Bilal Zafar, Nick McCarthy, Pedro Larroy, Pinar Yilmaz, Sanjiv Das, Satish Gollaprolu, Scott Rees, Tyler Hill, Xiaoguang Chen, Xiaoyi Cheng, Xinyu Liu | ||||
| 128 | A Unified Solution to Constrained Bidding in Online Display Advertising | 0 | Chuan Yu, Di Wu, Jian Xu, Junwei Pan, Qing Tan, Xiaoqiang Zhu, Xiujun Chen, Yue He | ||||
| 129 | User Consumption Intention Prediction in Meituan | 0 | Chen Gao, Depeng Jin, Hengliang Luo, Taichi Liu, Xiaoyi Du, Yong Li, Yukun Ping | ||||
| 130 | Multi-facet Contextual Bandits: A Neural Network Perspective | 0 | Curtiss B. Cook, Jingrui He, Yikun Ban | ||||
| 131 | Uplift Modeling with Generalization Guarantees | 0 | Artem Betlei, Eustache Diemert, MassihReza Amini | ||||
| 132 | Fine-Grained System Identification of Nonlinear Neural Circuits | 0 | Dawna Bagherian, James Gornet, Jeremy Bernstein, Markus Meister, Yisong Yue, YuLi Ni | ||||
| 133 | Graph Similarity Description: How Are These Graphs Similar? | 0 | Corinna Coupette, Jilles Vreeken | ||||
| 134 | Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data | 0 | Sheng Li, Stephen L. Rathbun, Zhixuan Chu | ||||
| 135 | MiniRocket: A Very Fast (Almost) Deterministic Transform for Time Series Classification | 0 | Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb | ||||
| 136 | Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs | 0 | Da Zheng, George Karypis, Jialin Dong, Lin F. Yang | ||||
| 137 | TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data | 0 | Dongmei Zhang, Fei Gao, Jiang Zhang, Junshan Wang, Lun Du, Ran Jia, Shi Han, Xu Chen | ||||
| 138 | Large-Scale Subspace Clustering via k-Factorization | 0 | Jicong Fan | ||||
| 139 | Multiple-Instance Learning from Similar and Dissimilar Bags | 0 | Bo An, Gang Niu, Hongxin Wei, Lei Feng, Lue Tao, Senlin Shu, Tao Xiang, Yuzhou Cao | ||||
| 140 | Boosted Second Price Auctions: Revenue Optimization for Heterogeneous Bidders | 0 | Hamid Nazerzadeh, Max Lin, Negin Golrezaei, Vahab S. Mirrokni | ||||
| 141 | Meaning Error Rate: ASR domain-specific metric framework | 0 | Igor Kuralenok, Ludmila Gordeeva, Oleg Gulyaev, Vasily Ershov | ||||
| 142 | A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks | 0 | Di Yao, Jin Wang, Peng Han, Shuo Shang, Xiangliang Zhang | ||||
| 143 | Federated Adversarial Debiasing for Fair and Transferable Representations | 0 | Hiroko H. Dodge, Jiayu Zhou, Junyuan Hong, Shuyang Yu, Zhangyang Wang, Zhuangdi Zhu | ||||
| 144 | Representation Learning on Knowledge Graphs for Node Importance Estimation | 0 | Bowen Du, Chuanren Liu, Han Huang, Hui Xiong, Leilei Sun, Weifeng Lv | ||||
| 145 | Pre-training on Large-Scale Heterogeneous Graph | 0 | Chuan Shi, Hui Wang, Tianrui Jia, Xunqiang Jiang, Yuan Fang, Zhe Lin | ||||
| 146 | Q-Learning Lagrange Policies for Multi-Action Restless Bandits | 0 | Arpita Biswas, Jackson A. Killian, Milind Tambe, Sanket Shah | ||||
| 147 | Dip-based Deep Embedded Clustering with k-Estimation | 0 | Benjamin Schelling, Christian Böhm, Claudia Plant, Collin Leiber, Lena G. M. Bauer | ||||
| 148 | Large-Scale Data-Driven Airline Market Influence Maximization | 0 | Dongwon Lee, Duanshun Li, Jing Liu, Jinsung Jeon, Noseong Park, Seoyoung Hong, Thai Le | ||||
| 149 | An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large Graphs | 0 | ChulHo Lee, Shiju Li, Xin Huang | ||||
| 150 | Dialogue Based Disease Screening Through Domain Customized Reinforcement Learning | 0 | Fei Wang, Gang Hu, Guotong Xie, Xingzhi Sun, Yanxuan Li, Zhuo Liu | ||||
| 151 | Online Additive Quantization | 0 | Defu Lian, Enhong Chen, Jianhui Ma, Jin Zhang, Qi Liu, Yong Ge | ||||
| 152 | Local Algorithms for Estimating Effective Resistance | 0 | Daniel Lopatta, Gramoz Goranci, Pan Peng, Yuichi Yoshida | ||||
| 153 | Network-Wide Traffic States Imputation Using Self-interested Coalitional Learning | 0 | Huiling Qin, Xianyuan Zhan, Xiaodu Yang, Yu Zheng, Yuanxun Li | ||||
| 154 | Individual Treatment Prescription Effect Estimation in a Low Compliance Setting | 0 | Amélie Héliou, Christophe Renaudin, Eustache Diemert, Matthieu Martin, Thibaud Rahier | ||||
| 155 | ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification | 0 | Bartosz Zielinski, Dawid Rymarczyk, Jacek Tabor, Lukasz Struski | ||||
| 156 | Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression | 0 | Maarten de Rijke, Olivier Sprangers, Sebastian Schelter | ||||
| 157 | JOHAN: A Joint Online Hurricane Trajectory and Intensity Forecasting Framework | 0 | Ding Wang, PangNing Tan | ||||
| 158 | Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning | 0 | Cheng Long, Gao Cong, Qianru Zhang, Zheng Wang | ||||
| 159 | Probabilistic Label Tree for Streaming Multi-Label Learning | 0 | JiangXin Shi, Tong Wei, YuFeng Li | ||||
| 160 | Indirect Invisible Poisoning Attacks on Domain Adaptation | 0 | Jingrui He, Jun Wu | ||||
| 161 | Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification | 0 | Flora D. Salim, Hao Xue | ||||
| 162 | Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks | 0 | Baoxu Shi, Jaewon Yang, Minji Yoon, Qi He, Sufeng Niu, Théophile Gervet | ||||
| 163 | A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples | 0 | Guoyin Wang, Hong Yu, Jia Tang, Xinbo Gao | ||||
| 164 | Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits | 0 | David A. Hirshberg, Ruohan Zhan, Susan Athey, Vitor Hadad | ||||
| 165 | Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment | 0 | Denghui Zhang, Fuzhen Zhuang, Haifeng Chen, Hao Liu, Hui Xiong, Yanchi Liu, Zixuan Yuan | ||||
| 166 | Knowledge-Enhanced Domain Adaptation in Few-Shot Relation Classification | 0 | Congcong Zhang, Hongan Wang, Jiaqi Zhu, Jiawen Zhang, Wandong Shi, Yi Yang | ||||
| 167 | DHS: Adaptive Memory Layout Organization of Sketch Slots for Fast and Accurate Data Stream Processing | 0 | Bohan Zhao, Boyu Tian, Wenfei Wu, Xiang Li, Zhiyu Mei | ||||
| 168 | Cluster-Reduce: Compressing Sketches for Distributed Data Streams | 0 | Li Chen, Tong Yang, Yi Wang, Yi Zhou, Yifan Zhu, Yikai Zhao, Yuanpeng Li, Zheng Zhong | ||||
| 169 | Fairness-Aware Online Meta-learning | 0 | Bhavani Thuraisingham, Chen Zhao, Feng Chen | ||||
| 170 | Knowledge is Power: Hierarchical-Knowledge Embedded Meta-Learning for Visual Reasoning in Artistic Domains | 0 | Chao Gou, FeiYue Wang, Lan Yan, Wenbo Zheng | ||||
| 171 | Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application | 0 | Hong Xie, Mingze Zhong, Qingsheng Zhu | ||||
| 172 | Triplet Attention: Rethinking the Similarity in Transformers | 0 | Haoyi Zhou, Jianxin Li, Jieqi Peng, Shanghang Zhang, Shuai Zhang | ||||
| 173 | Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling | 0 | Beth Redbird, Bryan L. Lewis, David Grusky, Emma Pierson, Jaline Gerardin, Jure Leskovec, Komal K. Dudakiya, Madhav V. Marathe, Mandy L. Wilson, Pang Wei Koh, Serina Chang, Zakaria Mehrab | ||||
| 174 | Interactive Audience Expansion On Large Scale Online Visitor Data | 0 | Anup B. Rao, Cláudio T. Silva, Fan Du, Gromit YeukYin Chan, Juliana Freire, Ryan A. Rossi, Tung Mai | ||||
| 175 | When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control | 0 | Alex X. Liu, Chaochao Chen, Cheng Hong, Hao Wang, Jin Tan, Jun Zhou, Lei Wang, Li Wang, Wenjing Fang, Xibin Wu | ||||
| 176 | On Post-selection Inference in A/B Testing | 0 | Alex Deng, Jiannan Lu, Vivek Ramamurthy, Yicheng Li | ||||
| 177 | Clustering for Private Interest-based Advertising | 0 | Alessandro Epasto, Andrés Muñoz Medina, Arne Mauser, Brian Milch, C. J. Carey, David Guthrie, Deepak Ravichandran, Jakub Lacki, James Ioannidis, Jason Lee, Junyi Jiao, Max Spero, Róbert BusaFekete, Sergei Vassilvitskii, Shuo Wang, Steven Avery, Subham Ghosh, Umar Syed, Vahab S. Mirrokni, Wei Shi, Ya Gao, Yijian Bai, Yunting Sun | ||||
| 178 | SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps | 0 | Fan Wang, Haifeng Wang, Jizhou Huang, Lihang Liu, Xiaomin Fang, Yibo Sun | ||||
| 179 | MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance | 0 | Desheng Zhang, Dian Zhang, Fan Zhang, Guang Wang, Guang Yang, Xiaoyang Xie, Yu Yang, Zhihan Fang | ||||
| 180 | Budget Allocation as a Multi-Agent System of Contextual & Continuous Bandits | 0 | Benjamin Han, Carl Arndt | ||||
| 181 | Deep Inclusion Relation-aware Network for User Response Prediction at Fliggy | 0 | Bufeng Zhang, Mingyuan Tao, Zai Huang | ||||
| 182 | Knowledge-Guided Efficient Representation Learning for Biomedical Domain | 0 | Aidong Zhang, Guangxu Xun, Kishlay Jha, Nan Du | ||||
| 183 | Bootstrapping for Batch Active Sampling | 0 | Heinrich Jiang, Maya R. Gupta | ||||
| 184 | Diet Planning with Machine Learning: Teacher-forced REINFORCE for Composition Compliance with Nutrition Enhancement | 0 | Changhun Lee, Chiehyeon Lim, Jayun Kim, Minyoung Jung, Soohyeok Kim, Yeji Kim | ||||
| 185 | Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition | 0 | Daxin Jiang, Jian Pei, Linjun Shou, Ming Gong, Shining Liang, Wanli Zuo, Xianglin Zuo | ||||
| 186 | PAM: Understanding Product Images in Cross Product Category Attribute Extraction | 0 | Jie Feng, Li Xiong, Nasser Zalmout, Rongmei Lin, Xiang He, Xin Luna Dong, Yan Liang | ||||
| 187 | Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection | 0 | Can Liu, Hao Yang, Jinghua Feng, Li Sun, Qing He, Xiang Ao | ||||
| 188 | JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu | 0 | Daxiang Dong, Dejing Dou, Guangxing Chen, Guobao Yang, Hao Liu, Hao Xiong, Haoyi Xiong, Jiang Li, Qian Gao, Wenlin Wang, Xiaochao Liao, Zhiwei Zha | ||||
| 189 | Trustworthy and Powerful Online Marketplace Experimentation with Budget-split Design | 0 | Jialiang Mao, Kang Kang, Min Liu | ||||
| 190 | A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem | 0 | Fei Ni, Jiahui Duan, Jianye Hao, Jiawen Lu, Kun He, Mingxuan Yuan, Xialiang Tong, Yi Ma | ||||
| 191 | Lambda Learner: Fast Incremental Learning on Data Streams | 0 | Deepak Kumar, Gungor Polatkan, Jeffrey D. Gee, Kirill Talanine, Konstantin Salomatin, Onkar Dalal, Rohan Ramanath, Sara Smoot | ||||
| 192 | Contextual Bandit Applications in a Customer Support Bot | 0 | Jade Huang, Matthew Hall, Nikos Karampatziakis, Sandra Sajeev, Sebastian Kochman, Weizhu Chen | ||||
| 193 | Predicting COVID-19 Spread from Large-Scale Mobility Data | 0 | Amray Schwabe, Joel Persson, Stefan Feuerriegel | ||||
| 194 | Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing | 0 | Bingchen Song, Dingyuan Shi, Qiang Yang, Weifeng Lv, Yongxin Tong, Zimu Zhou | ||||
| 195 | Dynamic Social Media Monitoring for Fast-Evolving Online Discussions | 0 | Anima Anandkumar, Anqi Liu, Jian Cao, Maya Srikanth, Nicholas AdamsCohen, R. Michael Alvarez | ||||
| 196 | Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach | 0 | Haishuai Wang, Ji Zhang, Jiajun Bu, Jiaming Huang, Jian Liao, Peng Zhang, Pengrui Hui, Zhao Li | ||||
| 197 | Medical Entity Relation Verification with Large-scale Machine Reading Comprehension | 0 | Chao Lu, Chunyu Wang, Haifeng Huang, Hui Xiong, Jingbo Zhou, Yuan Xia, Zhenhui Shi | ||||
| 198 | DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction | 0 | Fengtong Xiao, Hao Wang, Jingyu Zhao, Jun Lang, Lin Li, Weinan Xu, Xiaofeng Yang | ||||
| 199 | Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value | 0 | Cunxiang Yin, Jing Cai, Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Xingji Luo, Yancheng He, Zhen Xiao | ||||
| 200 | PAMI: A Computational Module for Joint Estimation and Progression Prediction of Glaucoma | 0 | Hiroshi Murata, Kenji Yamanishi, Linchuan Xu, Ryo Asaoka, Taichi Kiwaki, Yuri Fujino | ||||
| 201 | MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm | 0 | Aaron Flores, Brendan Kitts, Hao He, San Gultekin, Shengjun Pan, Tingyu Mao, Tsachy Weissman, Wei Zhang, Yanjun Han, Zhengyuan Zhou | ||||
| 202 | Incorporating Prior Financial Domain Knowledge into Neural Networks for Implied Volatility Surface Prediction | 0 | Bowei Chen, Yongxin Yang, Yu Zheng | ||||
| 203 | AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data | 0 | Bohang Zheng, Jianqiang Huang, Jin Wang, Manqing Dong, Mingjian Chen, Zhipeng Luo, Zhixing He | ||||
| 204 | An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions | 0 | Aaron Flores, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, Hao He, Jianlong Zhang, Junwei Pan, Niklas Karlsson, San Gultekin, Shengjun Pan, Tian Zhou, Tingyu Mao | ||||
| 205 | Online Advertising Incrementality Testing And Experimentation: Industry Practical Lessons | 0 | James G. Shanahan, Joel Barajas, Narayan Bhamidipati | ||||
| 206 | Machine Learning Explainability and Robustness: Connected at the Hip | 0 | Anupam Datta, Kaiji Lu, Klas Leino, Matt Fredrikson, Shayak Sen, Zifan Wang | ||||
| 207 | Data Quality for Machine Learning Tasks | 0 | Hima Patel, Naveen Panwar, Nitin Gupta, Ruhi Sharma Mittal, Sambaran Bandyopadhyay, Sameep Mehta, Satoshi Masuda, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Vitobha Munigala | ||||
| 208 | Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic | 0 | Giovanni Da San Martino, Preslav Nakov | ||||
| 209 | A Visual Tour of Bias Mitigation Techniques for Word Representations | 0 | Archit Rathore, Bei Wang, Jeff M. Phillips, Sunipa Dev, Vivek Srikumar | ||||
| 210 | KDD 2021 Tutorial on Systemic Challenges and Solutions on Bias and Unfairness in Peer Review | 0 | Nihar B. Shah | ||||
| 211 | Causal Inference and Machine Learning in Practice with EconML and CausalML: Industrial Use Cases at Microsoft, TripAdvisor, Uber | 0 | Eleanor Dillon, Greg Lewis, Huigang Chen, JeongYoon Lee, Jing Pan, Keith Battocchi, Maggie Hei, Miruna Oprescu, Paul Lo, Totte Harinen, Vasilis Syrgkanis, Yifeng Wu | ||||
| 212 | Automated Machine Learning on Graph | 0 | Wenwu Zhu, Xin Wang | ||||
| 213 | Physics-Guided AI for Large-Scale Spatiotemporal Data | 0 | Anuj Karpatne, Paris Perdikaris, Rose Yu | ||||
| 214 | All You Need to Know to Build a Product Knowledge Graph | 0 | Chenwei Zhang, Nasser Zalmout, Xian Li, Xin Luna Dong, Yan Liang | ||||
| 215 | Simple and Automatic Distributed Machine Learning on Ray | 0 | Hao Zhang, Ion Stoica, Lianmin Zheng, Zhuohan Li | ||||
| 216 | Machine Learning in Finance | 0 | José A. RodríguezSerrano, Leman Akoglu, Nitesh V. Chawla, Saurabh Nagrecha, Senthil Kumar, Tanveer A. Faruquie | ||||
| 217 | MLHat: Deployable Machine Learning for Security Defense | 0 | Ali Ahmadzadeh, Arridhana Ciptadi, Gang Wang | ||||
| 218 | Machine Learning for Consumers and Markets | 0 | Dokyun Lee, George H. Chen, Han Zhao, Wen Wang | ||||
| 219 | On the Nature of Data Science | 0 | Jeffrey D. Ullman | ||||
| 220 | Safe Learning in Robotics | 0 | Claire J. Tomlin | ||||
| 221 | LawyerPAN: A Proficiency Assessment Network for Trial Lawyers | 0 | Enhong Chen, Han Wu, Hongke Zhao, Kai Zhang, Linan Yue, Mingyue Cheng, Qi Liu, Yanqing An | ||||
| 222 | Data Science for Assembly Engineering | 0 | Sharon C. Glotzer | ||||
| 223 | Automated Mechanism Design for Strategic Classification: Abstract for KDD'21 Keynote Talk | 0 | Vincent Conitzer | ||||
| 224 | Partial Label Dimensionality Reduction via Confidence-Based Dependence Maximization | 0 | JunYi Hang, MinLing Zhang, WeiXuan Bao | ||||
| 225 | Why Attentions May Not Be Interpretable? | 0 | Bing Bai, Fei Wang, Guanhua Zhang, Hao Li, Jian Liang, Kun Bai | ||||
| 226 | How Interpretable and Trustworthy are GAMs? | 0 | Anna Goldenberg, Benjamin J. Lengerich, ChunHao Chang, Rich Caruana, Sarah Tan | ||||
| 227 | Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation | 0 | Hoda Eldardiry, Hongjie Chen, Kanak Mahadik, Ryan A. Rossi, Sungchul Kim | ||||
| 228 | Fast One-class Classification using Class Boundary-preserving Random Projections | 0 | Amitabha Bagchi, Arindam Bhattacharya, Srikanta Bedathur, Sumanth Varambally | ||||
| 229 | On Breaking Truss-Based Communities | 0 | Alessio Conte, Grigorios Loukides, Huiping Chen, Michelle Sweering, Roberto Grossi, Solon P. Pissis | ||||
| 230 | PAR-GAN: Improving the Generalization of Generative Adversarial Networks Against Membership Inference Attacks | 0 | Hongchang Gao, Junjie Chen, Wendy Hui Wang, Xinghua Shi | ||||
| 231 | Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes | 0 | Ginkyeng Lee, Jaesik Choi, Sohee Cho, Wonjoon Chang | ||||
| 232 | Causal Understanding of Fake News Dissemination on Social Media | 0 | Huan Liu, Kai Shu, Lu Cheng, Ruocheng Guo | ||||
| 233 | Improve Learning from Crowds via Generative Augmentation | 0 | Hongning Wang, Zhendong Chu | ||||
| 234 | PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics | 0 | Anuj Karpatne, Arka Daw, M. Maruf | ||||
| 235 | Labeled Data Generation with Inexact Supervision | 0 | Enyan Dai, Kai Shu, Suhang Wang, Yiwei Sun | ||||
| 236 | NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs | 0 | Charu Aggarwal, Enyan Dai, Suhang Wang | ||||
| 237 | Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution | 0 | Guocan Feng, Huiqi Deng, Mengnan Du, Na Zou, Weifu Chen, Xia Hu | ||||
| 238 | ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting | 0 | Ivor W. Tsang, Jinliang Deng, Renhe Jiang, Xiusi Chen, Xuan Song | ||||
| 239 | Sylvester Tensor Equation for Multi-Way Association | 0 | Boxin Du, Hanghang Tong, Lihui Liu | ||||
| 240 | When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods | 0 | Amin K. Moghaddam, Lukas Faber, Roger Wattenhofer | ||||
| 241 | Gaussian Process with Graph Convolutional Kernel for Relational Learning | 0 | Jinyuan Fang, Qiang Zhang, Shangsong Liang, Zaiqiao Meng | ||||
| 242 | Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting | 0 | Guojie Song, Kunqing Xie, Qingqing Long, Zheng Fang | ||||
| 243 | Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery | 0 | Cao Xiao, Cheng Qian, Jimeng Sun, Lucas M. Glass, Tianfan Fu | ||||
| 244 | ProgRPGAN: Progressive GAN for Route Planning | 0 | TaoYang Fu, WangChien Lee | ||||
| 245 | Differentiable Pattern Set Mining | 0 | Jilles Vreeken, Jonas Fischer | ||||
| 246 | Unsupervised Graph Alignment with Wasserstein Distance Discriminator | 0 | Ji Gao, Jundong Li, Xiao Huang | ||||
| 247 | Towards Computing a Near-Maximum Weighted Independent Set on Massive Graphs | 0 | Jiewei Gu, Peng Peng, Weiguo Zheng, Yuzheng Cai | ||||
| 248 | UCPhrase: Unsupervised Context-aware Quality Phrase Tagging | 0 | Jiawei Han, Jingbo Shang, Liyuan Liu, Xiaotao Gu, Yu Meng, Zhenyu Bi, Zihan Wang | ||||
| 249 | Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment | 0 | Feng Kuang, GaoLe Li, Guobin Wu, JieJing Shao, LanZhe Guo, Nan Ma, Qi Zhang, Qun Li, YuFeng Li, ZhangXun Liu, Zhi Zhou | ||||
| 250 | Subset Node Representation Learning over Large Dynamic Graphs | 0 | Baojian Zhou, Steven Skiena, Xingzhi Guo | ||||
| 251 | Deep Generative Models for Spatial Networks | 0 | Liang Zhao, Xiaojie Guo, Yuanqi Du | ||||
| 252 | Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting | 0 | Bowen Du, Hui Xiong, Leilei Sun, Liangzhe Han, Yanjie Fu, Yisheng Lv | ||||
| 253 | Generalized Zero-Shot Extreme Multi-label Learning | 0 | Manik Varma, Nilesh Gupta, Sakina Bohra, Saurabh Purohit, Yashoteja Prabhu | ||||
| 254 | Graph Summarization with Controlled Utility Loss | 0 | Alex Thomo, Jasbir Singh, Mahdi Hajiabadi, Venkatesh Srinivasan | ||||
| 255 | Adaptive Transfer Learning on Graph Neural Networks | 0 | Bang An, Jing Bai, Xueting Han, Zhenhuan Huang | ||||
| 256 | Pruning-Aware Merging for Efficient Multitask Inference | 0 | Dawei Gao, Lothar Thiele, Xiaoxi He, Yongxin Tong, Zimu Zhou | ||||
| 257 | PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design | 0 | Amin Heyrani Nobari, Faez Ahmed, Wei Chen | ||||
| 258 | DARING: Differentiable Causal Discovery with Residual Independence | 0 | Furui Liu, Peng Cui, Renzhe Xu, Yong Jiang, Yue He, Zheyan Shen | ||||
| 259 | Metric Learning via Penalized Optimization | 0 | Hao Huang, Ruiting Zhou, Sai Wu, Ting Gan, Weiping Tu, Yanan Peng | ||||
| 260 | Uncertainty-Aware Reliable Text Classification | 0 | Latifur Khan, Yibo Hu | ||||
| 261 | HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem | 0 | Bo Jin, Hongyuan Zha, Junchi Yan, Wenhao Li, Xiangfeng Wang, Xiaofeng He, Yun Hua | ||||
| 262 | Scaling Up Graph Neural Networks Via Graph Coarsening | 0 | Chong Xi, Min Zhou, Shengzhong Zhang, Tang Liu, Zengfeng Huang | ||||
| 263 | DisenQNet: Disentangled Representation Learning for Educational Questions | 0 | Enhong Chen, Hao Wang, Jianhui Ma, Qi Liu, Wei Tong, Xin Lin, Yu Su, Zhenya Huang | ||||
| 264 | TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction | 0 | Bo Hui, Da Yan, Haiquan Chen, WeiShinn Ku | ||||
| 265 | Coupled Graph ODE for Learning Interacting System Dynamics | 0 | Wei Wang, Yizhou Sun, Zijie Huang | ||||
| 266 | Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries | 0 | JunGi Jang, U Kang | ||||
| 267 | ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations | 0 | Jinsung Jeon, Minju Jo, Noseong Park, Sheo Yon Jhin, Taeyong Kong | ||||
| 268 | Cross-Network Learning with Partially Aligned Graph Convolutional Networks | 0 | Meng Jiang | ||||
| 269 | Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors | 0 | Da Yan, Marcus Stephen Kirby, Sultan Asiri, Wenchong He, Zhe Jiang | ||||
| 270 | Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion | 0 | Jaehun Jung, Jinhong Jung, U Kang | ||||
| 271 | Auditing for Diversity Using Representative Examples | 0 | L. Elisa Celis, Vijay Keswani | ||||
| 272 | Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning | 0 | Baoxiang Wang, Fei Wu, Furui Liu, Jiahui Li, Jun Xiao, Kun Kuang, Long Chen | ||||
| 273 | Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability | 0 | Haoran Li, Yang Weng | ||||
| 274 | A Difficulty-Aware Framework for Churn Prediction and Intervention in Games | 0 | Chenyang Wang, Hongyu Lu, Jiayu Li, Min Zhang, Shaoping Ma, Wei Qi, Weizhi Ma, Xiangyu Zhao, Yiqun Liu | ||||
| 275 | Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions | 0 | Sinno Jialin Pan, Tianbo Li, Tianze Luo, Yiping Ke | ||||
| 276 | Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs | 0 | Han Liu, Qimai Li, Quanyu Dai, XiaoMing Wu, Xiaotong Zhang | ||||
| 277 | Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity | 0 | Dejing Dou, Fan Wang, Haoyi Xiong, Hui Xiong, Jingbo Zhou, Liang Huang, Shuangli Li, Tong Xu, Weili Huang | ||||
| 278 | FedRS: Federated Learning with Restricted Softmax for Label Distribution Non-IID Data | 0 | DeChuan Zhan, XinChun Li | ||||
| 279 | Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection | 0 | Bingyu Liu, Jian Tang, Jianan Jiang, Weihong Deng, Yuhong Guo | ||||
| 280 | What Do You See?: Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors | 0 | WenChuan Lee, YiShan Lin, Z. Berkay Celik | ||||
| 281 | Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport | 0 | Dong Zhou, Hengxu Lin, Jiang Bian, Weiqing Liu | ||||
| 282 | Neural-Answering Logical Queries on Knowledge Graphs | 0 | Boxin Du, ChengXiang Zhai, Hanghang Tong, Heng Ji, Lihui Liu | ||||
| 283 | Signed Graph Neural Network with Latent Groups | 0 | Haoxin Liu, Jiashuo Liu, Peng Cui, Qiang Cui, Wenwu Zhu, Yafeng Zhang, Ziwei Zhang | ||||
| 284 | ControlBurn: Feature Selection by Sparse Forests | 0 | Brian Liu, Madeleine Udell, Miaolan Xie | ||||
| 285 | NewsEmbed: Modeling News through Pre-trained Document Representations | 0 | Cong Yu, Jialu Liu, Tianqi Liu | ||||
| 286 | Tail-GNN: Tail-Node Graph Neural Networks | 0 | TrungKien Nguyen, Yuan Fang, Zemin Liu | ||||
| 287 | Leveraging Latent Features for Local Explanations | 0 | Amit Dhurandhar, ChunChen Tu, Karthikeyan Shanmugam, PinYu Chen, Prasanna Sattigeri, Ronny Luss, Yunfeng Zhang | ||||
| 288 | HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks | 0 | Guojie Song, Lingjun Xu, Qingqing Long, Zheng Fang | ||||
| 289 | Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks | 0 | Chang Zhou, Jianguo Jiang, Jie Tang, Ming Ding, Qiang Liu, Qingsong Lv, Siming He, Wenzheng Feng, Yuxiang Chen, Yuxiao Dong | ||||
| 290 | Graph Adversarial Attack via Rewiring | 0 | Jiliang Tang, Lingfei Wu, Suhang Wang, Tyler Derr, Yao Ma | ||||
| 291 | BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment | 0 | James Browne, Joshua T. Vogelstein, Kunal Lillaney, Meghana Madhyastha, Randal C. Burns | ||||
| 292 | Needle in a Haystack: Label-Efficient Evaluation under Extreme Class Imbalance | 0 | Benjamin I. P. Rubinstein, Neil G. Marchant | ||||
| 293 | Temporal Graph Signal Decomposition | 0 | Lin Zhang, Maxwell J. McNeil, Petko Bogdanov | ||||
| 294 | MULTIVERSE: Mining Collective Data Science Knowledge from Code on the Web to Suggest Alternative Analysis Approaches | 0 | Ge Zhang, Mike A. Merrill, Tim Althoff | ||||
| 295 | Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling | 0 | Chuizheng Meng, Sirisha Rambhatla, Yan Liu | ||||
| 296 | Semi-Supervised Deep Learning for Multiplex Networks | 0 | Anasua Mitra, Balaraman Ravindran, Diganta Goswami, Priyesh Vijayan, Sanasam Ranbir Singh, Srinivasan Parthasarathy | ||||
| 297 | DeGNN: Improving Graph Neural Networks with Graph Decomposition | 0 | Bin Cui, Bo Li, Ce Zhang, Fan Wu, Hansheng Ren, Hui Xue, Nezihe Merve Gürel, Shuai Zhang, Susie Xi Rao, Wei Min, Wentao Zhang, Xupeng Miao, Yaming Yang, Yang Zhao, Yinan Shan, Yingxia Shao, Yujie Wang, Yujing Wang, Zhichao Han, Zitao Zhang | ||||
| 298 | Scalable Hierarchical Agglomerative Clustering | 0 | Amr Ahmed, Andrew McCallum, Bryon Tjanaka, Guru Guruganesh, Gökhan Mergen, Kumar Avinava Dubey, Manzil Zaheer, Marc Najork, Mert Terzihan, Nicholas Monath, Yuan Wang, Yuchen Wu | ||||
| 299 | Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition | 0 | Changshui Zhang, Fei Wang, Jiang Bian, Sen Cui, Weishen Pan | ||||
| 300 | An Efficient Framework for Balancing Submodularity and Cost | 0 | Alina Ene, Evimaria Terzi, Sofia Maria Nikolakaki | ||||
| 301 | Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes | 0 | Hiroyuki Toda, Hisashi Kashima, Maya Okawa, Takeshi Kurashima, Tomoharu Iwata, Yusuke Tanaka | ||||
| 302 | Filtration Curves for Graph Representation | 0 | Bastian Rieck, Karsten M. Borgwardt, Leslie O'Bray | ||||
| 303 | Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data | 0 | Anton van den Hengel, Chunhua Shen, Guansong Pang, Longbing Cao | ||||
| 304 | Faster and Generalized Temporal Triangle Counting, via Degeneracy Ordering | 0 | C. Seshadhri, Noujan Pashanasangi | ||||
| 305 | Fast and Accurate Partial Fourier Transform for Time Series Data | 0 | JunGi Jang, U Kang, Yongchan Park | ||||
| 306 | Learning Process-consistent Knowledge Tracing | 0 | Enhong Chen, Qi Liu, Shijin Wang, Shuanghong Shen, Wei Huang, Yu Su, Yu Yin, Zhenya Huang | ||||
| 307 | Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours | 0 | Emilio Ferrara, Karishma Sharma, Yan Liu, Yizhou Zhang | ||||
| 308 | Deep Clustering based Fair Outlier Detection | 0 | Hanyu Song, Hongfu Liu, Peizhao Li | ||||
| 309 | Fruit-fly Inspired Neighborhood Encoding for Classification | 0 | Kaushik Sinha, Parikshit Ram | ||||
| 310 | Robust Learning by Self-Transition for Handling Noisy Labels | 0 | Dongmin Park, Hwanjun Song, JaeGil Lee, Minseok Kim, Yooju Shin | ||||
| 311 | Redescription Model Mining | 0 | Felix I. Stamm, Florian Lemmerich, Markus Strohmaier, Martin Becker | ||||
| 312 | A Stagewise Hyperparameter Scheduler to Improve Generalization | 0 | Aidong Zhang, Guangxu Xun, Jianhui Sun, Ying Yang | ||||
| 313 | Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns | 0 | Jennifer Neville, Jianzhu Ma, Pan Li, Susheel Suresh, Vinith Budde | ||||
| 314 | Choice Set Confounding in Discrete Choice | 0 | Austin R. Benson, Johan Ugander, Kiran Tomlinson | ||||
| 315 | Learning Interpretable Feature Context Effects in Discrete Choice | 0 | Austin R. Benson, Kiran Tomlinson | ||||
| 316 | Statistical Models Coupling Allows for Complex Local Multivariate Time Series Analysis | 0 | Alessandro Verri, Davide Garbarino, Federico Ciech, Veronica Tozzo | ||||
| 317 | The Generalized Mean Densest Subgraph Problem | 0 | Austin R. Benson, Jon M. Kleinberg, Nate Veldt | ||||
| 318 | Analysis and Applications of Class-wise Robustness in Adversarial Training | 0 | Fei Wu, Kelu Jiang, Kun Kuang, Qi Tian, Yisen Wang | ||||
| 319 | Alphacore: Data Depth based Core Decomposition | 0 | Cuneyt Gurcan Akcora, Friedhelm Victor, Murat Kantarcioglu, Yulia R. Gel | ||||
| 320 | Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective | 0 | Ang Li, Binghui Wang, Hai Li, Jiayi Guo, Yiran Chen | ||||
| 321 | Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation | 0 | Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong, Xiaoyu Cao | ||||
| 322 | Relational Message Passing for Knowledge Graph Completion | 0 | Hongwei Wang, Hongyu Ren, Jure Leskovec | ||||
| 323 | Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning | 0 | Chuan Shi, Hui Han, Nian Liu, Xiao Wang | ||||
| 324 | Meta Self-training for Few-shot Neural Sequence Labeling | 0 | Ahmed Hassan Awadallah, Haoda Chu, Jing Gao, Ming Wu, Subhabrata Mukherjee, Yaqing Wang, Yuancheng Tu | ||||
| 325 | Zero-shot Node Classification with Decomposed Graph Prototype Network | 0 | Jialong Wang, Yuchen Guo, Zheng Wang, Zhiguo Gong | ||||
| 326 | Enhancing SVMs with Problem Context Aware Pipeline | 0 | Bingsheng He, Hanfeng Liu, Jian Chen, Xia Li, Zeyi Wen, Zhishang Zhou | ||||
| 327 | Towards Robust Prediction on Tail Labels | 0 | GuoPing Yang, Tong Wei, WeiWei Tu, YuFeng Li | ||||
| 328 | TUTA: Tree-based Transformers for Generally Structured Table Pre-training | 0 | Dongmei Zhang, Haoyu Dong, Jia Li, Ran Jia, Shi Han, Zhiruo Wang, Zhiyi Fu | ||||
| 329 | Geometric Graph Representation Learning on Protein Structure Prediction | 0 | Tian Xia, WeiShinn Ku | ||||
| 330 | Quantifying Uncertainty in Deep Spatiotemporal Forecasting | 0 | Alessandro Vespignani, Dongxia Wu, Liyao Gao, Matteo Chinazzi, Rose Yu, Xinyue Xiong, YiAn Ma | ||||
| 331 | MapEmbed: Perfect Hashing with High Load Factor and Fast Update | 0 | Haochen Gan, Jie Gui, Ori Rottenstreich, Tao Li, Tong Yang, Xiang Yu, Yuhan Wu, Yuhao Han, Zirui Liu | ||||
| 332 | Learning How to Propagate Messages in Graph Neural Networks | 0 | Donglin Wang, Suhang Wang, Teng Xiao, Zhengyu Chen | ||||
| 333 | Partial Multi-Label Learning with Meta Disambiguation | 0 | Feng Sun, MingKun Xie, ShengJun Huang | ||||
| 334 | Forecasting Interaction Order on Temporal Graphs | 0 | Jianwei Tian, Shenghong Li, Wenwen Xia, Yuchen Li | ||||
| 335 | Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent | 0 | Depeng Xu, Wei Du, Xintao Wu | ||||
| 336 | MTC: Multiresolution Tensor Completion from Partial and Coarse Observations | 0 | Cao Xiao, Chaoqi Yang, Cheng Qian, Edgar Solomonik, Jimeng Sun, Navjot Singh | ||||
| 337 | Model-Based Counterfactual Synthesizer for Interpretation | 0 | Fan Yang, Jiahao Chen, Sahan Suresh Alva, Xia Hu | ||||
| 338 | TopNet: Learning from Neural Topic Model to Generate Long Stories | 0 | Boyuan Pan, Deng Cai, Huan Sun, Yazheng Yang | ||||
| 339 | Numerical Formula Recognition from Tables | 0 | Hongwei Li, Ping Luo, Qingping Yang, Yixuan Cao | ||||
| 340 | Context-aware Outstanding Fact Mining from Knowledge Graphs | 0 | Anthony K. H. Tung, Panagiotis Karras, Yuchen Li, Yueji Yang | ||||
| 341 | Defending Privacy Against More Knowledgeable Membership Inference Attackers | 0 | Gang Chen, Ke Chen, Lidan Shou, Yu Yin | ||||
| 342 | Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks | 0 | Hang Yin, John Boaz Lee, Sihong Xie, Thomas Hartvigsen, Xiangnan Kong | ||||
| 343 | Extremely Compact Non-local Representation Learning | 0 | Ansheng You, Pan Pan, Xiangzeng Zhou, Yinghui Xu, Yingya Zhang | ||||
| 344 | Fed2: Feature-Aligned Federated Learning | 0 | Chenchen Liu, Di Wang, Fuxun Yu, Weishan Zhang, Xiang Chen, Zhi Tian, Zhuwei Qin, Zirui Xu | ||||
| 345 | Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts | 0 | Jaemin Yoo, U Kang, Yejun Soun, Yongchan Park | ||||
| 346 | A Transformer-based Framework for Multivariate Time Series Representation Learning | 0 | Anuradha Bhamidipaty, Carsten Eickhoff, Dhaval Patel, George Zerveas, Srideepika Jayaraman | ||||
| 347 | Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations | 0 | Jane ClelandHuang, Jinfeng Lin, Meng Jiang, Qingkai Zeng, Wenhao Yu | ||||
| 348 | Efficient Incremental Computation of Aggregations over Sliding Windows | 0 | Chao Zhang, Farouk Toumani, Reza Akbarinia | ||||
| 349 | Data Poisoning Attacks Against Outcome Interpretations of Predictive Models | 0 | Hengtong Zhang, Jing Gao, Lu Su | ||||
| 350 | ELITE: Robust Deep Anomaly Detection with Meta Gradient | 0 | Elke A. Rundensteiner, Huayi Zhang, Lei Cao, Peter VanNostrand, Samuel Madden | ||||
| 351 | Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups | 0 | Hao Zhong, Hui Xiong, Shengming Zhang, Zixuan Yuan | ||||
| 352 | Balancing Consistency and Disparity in Network Alignment | 0 | Hanghang Tong, Long Jin, Si Zhang, Yinglong Xia, Yunsong Guo | ||||
| 353 | Multi-graph Multi-label Learning with Dual-granularity Labeling | 0 | Chengqi Zhang, Yejiang Wang, Yuhai Zhao, Zhengkui Wang | ||||
| 354 | Accelerating Set Intersections over Graphs by Reducing-Merging | 0 | Chengzhi Piao, Weiguo Zheng, Yifan Yang | ||||
| 355 | Maximizing Influence of Leaders in Social Networks | 0 | Xiaotian Zhou, Zhongzhi Zhang | ||||
| 356 | Modeling Context-aware Features for Cognitive Diagnosis in Student Learning | 0 | Enhong Chen, Fei Wang, Hui Xiong, Jianhui Ma, Jinze Wu, Qi Liu, Wei Tong, Yuqiang Zhou, Zhenya Huang | ||||
| 357 | S-LIME: Stabilized-LIME for Model Explanation | 0 | Fei Wang, Giles Hooker, Zhengze Zhou | ||||
| 358 | Controllable Generation from Pre-trained Language Models via Inverse Prompting | 0 | Da Yin, Hongxia Yang, Jie Tang, Qingyang Zhong, Xu Zou, Zhilin Yang | ||||
| 359 | Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization | 0 | Ahmed Abdulaal, Tomer Lancewicki, Zhuanghua Liu | ||||
| 360 | TDGIA: Effective Injection Attacks on Graph Neural Networks | 0 | Evgeny Kharlamov, Jialiang Lu, Jie Tang, Qinkai Zheng, Xinyu Guan, Xu Zou, Yuxiao Dong | ||||
| 361 | Counterfactual Graphs for Explainable Classification of Brain Networks | 0 | Carlo Abrate, Francesco Bonchi | ||||
| 362 | Dynamic Language Models for Continuously Evolving Content | 0 | Marc Najork, Michael Bendersky, Mingyang Zhang, Spurthi Amba Hombaiah, Tao Chen | ||||
| 363 | All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting | 0 | Akhil Sai Peddireddy, Aniruddha Adiga, Benjamin Hurt, Bryan Leroy Lewis, Lijing Wang, Madhav V. Marathe, Przemyslaw J. Porebski, Srinivasan Venkatramanan | ||||
| 364 | Unpaired Generative Molecule-to-Molecule Translation for Lead Optimization | 0 | Guy Barshatski, Kira Radinsky | ||||
| 365 | A Framework for Modeling Cyber Attack Techniques from Security Vulnerability Descriptions | 0 | Asaf Shabtai, Hodaya Binyamini, Masaki Inokuchi, Ron Bitton, Tomohiko Yagyu, Yuval Elovici | ||||
| 366 | TimeSHAP: Explaining Recurrent Models through Sequence Perturbations | 0 | André Ferreira Cruz, João Bento, Mário A. T. Figueiredo, Pedro Bizarro, Pedro Saleiro | ||||
| 367 | Generating Mobility Trajectories with Retained Data Utility | 0 | Chu Cao, Mo Li | ||||
| 368 | Web-Scale Generic Object Detection at Microsoft Bing | 0 | Junwon Park, Ravi Theja Yada, Saurajit Mukherjee, Stephen Xi Chen, Tingting Wang, Unmesh Phadke | ||||
| 369 | PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis | 0 | Haoyu Ma, Jianbao Wu, Jiangyuan Wang, Xian Wu, Xiaohui Xie, Yifei Chen | ||||
| 370 | Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction | 0 | Guang Ning, Jian Shen, Jieli Lu, Mian Li, Min Xu, Mingcheng Chen, Tiange Wang, Weinan Zhang, Weiqing Wang, Weiwei Tu, Xiawei Guo, Yanru Qu, Yong Yu, Yu Xu, Yufang Bi, Zhenghui Wang, Zhiyun Zhao | ||||
| 371 | Robust Object Detection Fusion Against Deception | 0 | Ka Ho Chow, Ling Liu | ||||
| 372 | Theory meets Practice at the Median: A Worst Case Comparison of Relative Error Quantile Algorithms | 0 | Abhinav Mishra, Graham Cormode, Joseph Ross, Pavel Veselý | ||||
| 373 | FASER: Seismic Phase Identifier for Automated Monitoring | 0 | Abdullah Mueen, Farhan Asif Chowdhury, Glenn Eli Baker, M. Ashraf Siddiquee | ||||
| 374 | Causal and Interpretable Rules for Time Series Analysis | 0 | Amin Dhaou, Antoine Bertoncello, Erwan Le Pennec, Josselin Garnier, Sébastien Gourvénec | ||||
| 375 | Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights | 0 | Andreea Gane, David Belanger, David Dohan, Lucy J. Colwell, Maxwell L. Bileschi | ||||
| 376 | Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies | 0 | Adi Szeskin, Amitai Armon, Ashwin K. Muppalla, Benjamin Melloul, Itamar BenAri, Lev Faivishevsky, Ravid ShwartzZiv, Ronen Laperdon, Tahi Hollander, Tom Hope | ||||
| 377 | Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection | 0 | Kui Wang, Mingxuan Ju, Qi Xiong, Shifu Hou, Wenqiang Wan, Yanfang Ye, Yinming Mei, Yujie Fan | ||||
| 378 | Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering | 0 | Cheng Feng, Pengwei Tian | ||||
| 379 | Adversarial Attacks on Deep Models for Financial Transaction Records | 0 | Alexey Zaytsev, Dmitry Babaev, Elizaveta Kovtun, Evgeny Burnaev, Gleb Gusev, Ivan Fursov, Ivan Kireev, Matvey Morozov, Nina Kaploukhaya, Rodrigo RiveraCastro | ||||
| 380 | A Deep Learning Method for Route and Time Prediction in Food Delivery Service | 0 | Chengliang Gao, Fan Zhang, Guanqun Wu, Jinghua Hao, Qiang Ru, Qiwan Hu, Renqing He, Zhizhao Sun | ||||
| 381 | Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information | 0 | Fengli Xu, Lin Chen, Pan Hui, Qianyue Hao, Yong Li | ||||
| 382 | Analysis of Faces in a Decade of US Cable TV News | 0 | Ben Hannel, Daniel Y. Fu, Geraldine Moriba, Haotian Zhang, Jacob Ritchie, James Hong, Jeremy Barenholtz, Kayvon Fatahalian, Maneesh Agrawala, Michaela Murray, Will Crichton, Xinwei Yao | ||||
| 383 | MPCSL - A Modular Pipeline for Causal Structure Learning | 0 | Christopher Hagedorn, Hasso Plattner, Johannes Huegle, Michael Perscheid | ||||
| 384 | Addressing Non-Representative Surveys using Multiple Instance Learning | 0 | Oded Vainas, Yaniv Katz | ||||
| 385 | Network Experimentation at Scale | 0 | Brian Karrer, Charlie Gelman, Feng Sun, Liang Shi, Matt Goldman, Mikael Konutgan, Monica Bhole, Tyrone Palmer | ||||
| 386 | Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework | 0 | Chetan Bansal, Michael Grant, Peeyush Kumar, Ranveer Chandra, Shivkumar Kalyanaraman, Tanuja Ganu | ||||
| 387 | An Experimental Study of Quantitative Evaluations on Saliency Methods | 0 | Caleb Chen Cao, Haoyang Li, Lei Chen, Wei Bai, XiaoHui Li, Yuhan Shi | ||||
| 388 | OpenBox: A Generalized Black-box Optimization Service | 0 | Bin Cui, Ce Zhang, Huaijun Jiang, Jiawei Jiang, Jinyang Gao, Mingchao Liu, Wentao Wu, Wentao Zhang, Yang Li, Yu Shen, Yuanwei Chen, Zhi Yang | ||||
| 389 | Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach | 0 | Binghui Wang, Dong Yuan, Fang He, Neil Zhenqiang Gong, Qi Li, Shaofeng Hu, Xiao Liang, Zheng Yang, Zijie Yang | ||||
| 390 | M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining | 0 | An Yang, Chang Zhou, Hongxia Yang, Jie Tang, Jingren Zhou, Junyang Lin, Peng Wang, Rui Men, Yichang Zhang | ||||
| 391 | Categorization of Financial Transactions in QuickBooks | 0 | Heather Simpson, Jocelyn Lu, Juan Liu, Lei Pei, Nhung Ho, Ying Sun | ||||
| 392 | KompaRe: A Knowledge Graph Comparative Reasoning System | 0 | Boxin Du, Hanghang Tong, Heng Ji, Jiejun Xu, Lihui Liu, Yi Ren Fung | ||||
| 393 | What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data | 0 | Charbel Merhej, Ryan J. Beal, Sarvapali D. Ramchurn, Tim Matthews | ||||
| 394 | Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing | 0 | Aditya Srikanth Veerubhotla, Manish Gupta, Rajarshee Mitra, Rhea Jain | ||||
| 395 | AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units | 0 | Mathias Kraus, Stefan Feuerriegel, Tobias Hatt, Yilmazcan Özyurt | ||||
| 396 | Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization | 0 | Aida Zolic, Amr Ahmed, Barbara Pogorzelska, Cédric Archambeau, Fela Winkelmolen, Huibin Shen, Iaroslav Shcherbatyi, Jean Baptiste Faddoul, Krishnaram Kenthapadi, Matthias W. Seeger, Michele Donini, Miroslav Miladinovic, Rodolphe Jenatton, Tanya Bansal, Valerio Perrone | ||||
| 397 | RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation | 0 | Houxing Ren, Jingyuan Wang, Ning Wu, Wayne Xin Zhao | ||||
| 398 | A Bayesian Approach to In-Game Win Probability in Soccer | 0 | Jan Van Haaren, Jesse Davis, Pieter Robberechts | ||||
| 399 | Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning | 0 | Huikyo Lee, Ignacio SegoviaDominguez, Krzysztof M. Gorski, Michael J. Garay, Yulia R. Gel, Yuzhou Chen | ||||
| 400 | Interpretable Drug Response Prediction using a Knowledge-based Neural Network | 0 | Hossein SharifiNoghabi, Jialin Lu, Mark Lee, Martin Ester, Olga I. Zolotareva, Oliver Snow | ||||
| 401 | MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph | 0 | Bin Chen, Huijun Wang, Jiayu Zhou, Jing Xing, Mengying Sun | ||||
| 402 | Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms | 0 | Bingchen Song, Dingyuan Shi, Fan Zhang, Hongtu Zhu, Jieping Ye, Xiaocheng Tang, Yansheng Wang, Yongxin Tong, Zhiwei (Tony) Qin | ||||
| 403 | A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting | 0 | Amulya Yadav, Anchit Goyal, Annalyse Kehs, David P. Hughes, Derek Morr, Dongwon Lee, Fei Jiang, Jared Gluck, Maryam Tabar | ||||
| 404 | Bipartite Dynamic Representations for Abuse Detection | 0 | Andrew Z. Wang, Jure Leskovec, Karthik Subbian, Nikhil Rao, Pan Li, Rex Ying | ||||
| 405 | Clockwork: A Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data Warehouse | 0 | Alex Kalinin, Josh Metzler, Luo Mi, Martin ValdezVivas, Nick Stanisha, Shan Li, Varun Sharma, Wei Jiang | ||||
| 406 | Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning | 0 | Chi Harold Liu, Guoren Wang, Hao Wang, Jian Tang, Zipeng Dai | ||||
| 407 | Tac-Valuer: Knowledge-based Stroke Evaluation in Table Tennis | 0 | Dazhen Deng, Hui Zhang, Jiachen Wang, LeWen Cai, MinLing Zhang, Xiao Xie, Xinhuan Shu, Yingcai Wu, YuXuan Huang, ZhiHua Zhou | ||||
| 408 | Reinforcing Pretrained Models for Generating Attractive Text Advertisements | 0 | Bhuvan Middha, Jie Cao, Xing Xie, Xinwei Gu, Xiting Wang, Yulan Yan, Zihua Zhao | ||||
| 409 | Multimodal Emergent Fake News Detection via Meta Neural Process Networks | 0 | Fenglong Ma, Haoyu Wang, Jing Gao, Kishlay Jha, Yaqing Wang | ||||
| 410 | Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection | 0 | Haifeng Chen, Hui Liu, Jiliang Tang, Jingchao Ni, Zhengzhang Chen, Zhiwei Wang | ||||
| 411 | Representation Learning for Predicting Customer Orders | 0 | Huiqiang Mao, Liming Li, Tongwen Wu, Xiaoqing Wang, Yanzhi Li, Yu Yang, Yuming Deng | ||||
| 412 | Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference | 0 | Jianing Xi, Liping Ye, Qinghua Huang, Xuelong Li | ||||
| 413 | EXACTA: Explainable Column Annotation | 0 | Gerard de Melo, Handong Zhao, Ryan A. Rossi, S. Muthukrishnan, Sungchul Kim, Tak Yeon Lee, Yikun Xian, Zuohui Fu | ||||
| 414 | Improving the Information Disclosure in Mobility-on-Demand Systems | 0 | Dejian Wang, Hanqian Li, Hao Zhang, Lei Xu, Qisheng Chen, Xin Li, Yuan Shi, Yue Yang, Zhouyu Fu | ||||
| 415 | FLOP: Federated Learning on Medical Datasets using Partial Networks | 0 | Gregory P. Spell, Jianyi Zhang, Lawrence Carin, Qian Yang, Weituo Hao | ||||
| 416 | Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network | 0 | Jaehyuk Yi, Jinkyoo Park | ||||
| 417 | AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization | 0 | Bin Gu, Cheng Deng, Heng Huang, Jian Pei, Liefeng Bo, Qingsong Zhang, Songxiang Gu | ||||
| 418 | HALO: Hierarchy-aware Fault Localization for Cloud Systems | 0 | Andrew Zhou, Chao Du, Dongmei Zhang, Hongyu Zhang, Qingwei Lin, Saravanakumar Rajmohan, Si Qin, Xu Zhang, Yifan Li, Yingnong Dang, Yong Xu, Ze Li | ||||
| 419 | Software as a Medical Device: Regulating AI in Healthcare via Responsible AI | 0 | Ankur Teredesai, Carly Eckert, Christine Allen, Muhammad Aurangzeb Ahmad, Steve Overman, Vikas Kumar | ||||
| 420 | Data Science on Blockchains | 0 | Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel | ||||
| 421 | Explainability for Natural Language Processing | 0 | Anbang Xu, Kun Qian, Lucian Popa, Marina Danilevsky, Shipi Dhanorkar, Yunyao Li | ||||
| 422 | Challenges in KDD and ML for Sustainable Development | 0 | Bedharta Goswami, David Dao, Laure BertiÉquille, Stefano Ermon | ||||
| 423 | New Frontiers of Multi-Network Mining: Recent Developments and Future Trend | 0 | Boxin Du, Hanghang Tong, Si Zhang, Yuchen Yan | ||||
| 424 | Fairness and Explanation in Clustering and Outlier Detection | 0 | Ian Davidson | ||||
| 425 | Real-time Event Detection for Emergency Response Tutorial | 0 | Alejandro Jaimes, Joel R. Tetreault | ||||
| 426 | Graph Representation Learning: Foundations, Methods, Applications and Systems | 0 | Chuan Shi, Jiawei Zhang, Jie Tang, Jiezhong Qiu, Jiliang Tang, Philip S. Yu, Wei Jin, Xiaorui Liu, Yanfang Ye, Yao Ma, Yiqi Wang, Yukuo Cen | ||||
| 427 | Advances in Mining Heterogeneous Healthcare Data | 0 | Cao Xiao, Fenglong Ma, Jimeng Sun, Junyu Luo, Muchao Ye | ||||
| 428 | AutoML: A Perspective where Industry Meets Academy | 0 | Bolin Ding, Ce Zhang, Yaliang Li, Zhen Wang | ||||
| 429 | On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining | 0 | Jiawei Han, Jiaxin Huang, Yu Meng, Yu Zhang | ||||
| 430 | Toward Explainable Deep Anomaly Detection | 0 | Charu C. Aggarwal, Guansong Pang | ||||
| 431 | Data Pricing and Data Asset Governance in the AI Era | 0 | Feida Zhu, Huiwen Liu, Jian Pei, Xin Mu, Xuan Luo, Zicun Cong | ||||
| 432 | From Tables to Knowledge: Recent Advances in Table Understanding | 0 | Huan Sun, Jay Pujara, Muhao Chen, Pedro A. Szekely | ||||
| 433 | Mixed Method Development of Evaluation Metrics | 0 | Brian St. Thomas, Christine Hosey, Fernando Diaz, Praveen Chandar | ||||
| 434 | Language Scaling: Applications, Challenges and Approaches | 0 | Daxin Jiang, Jian Pei, Linjun Shou, Ming Gong, Xingjie Zhou, Xiubo Geng | ||||
| 435 | Artificial Intelligence for Drug Discovery | 0 | Fei Wang, Feixiong Cheng, Jian Tang | ||||
| 436 | Counterfactual Explanations in Explainable AI: A Tutorial | 0 | Caleb Chen Cao, Cong Wang, Haocheng Han, Lei Chen, Luning Wang, Shendi Wang, XiaoHui Li | ||||
| 437 | From Deep Learning to Deep Reasoning | 0 | Hung Le, Thao Minh Le, Truyen Tran, Vuong Le | ||||
| 438 | Fairness in Networks: Social Capital, Information Access, and Interventions | 0 | Aaron Clauset, Carlos Scheidegger, Sorelle A. Friedler, Suresh Venkatasubramanian | ||||
| 439 | Deep Learning on Graphs for Natural Language Processing | 0 | Bang Liu, Heng Ji, Lingfei Wu, Yu Chen | ||||
| 440 | Adversarial Robustness in Deep Learning: From Practices to Theories | 0 | Han Xu, Jiliang Tang, Wentao Wang, Xiaorui Liu, Yaxin Li | ||||
| 441 | Data Efficient Learning on Graphs | 0 | Chuxu Zhang, Jundong Li, Meng Jiang | ||||
| 442 | Causal Inference from Network Data | 0 | David Arbour, Elena Zheleva | ||||
| 443 | Towards Fair Federated Learning | 0 | Changxin Liu, Jian Pei, Lanjun Wang, Lingyang Chu, Yong Zhang, Zirui Zhou | ||||
| 444 | Fragile Earth: Accelerating Progress towards Equitable Sustainability | 0 | Auroop R. Ganguly, Bistra Dilkina, Emre Eftelioglu, James Hodson, Kathleen Buckingham, Naoki Abe, Ramakrishnan Kannan | ||||
| 445 | AdKDD 2021 | 0 | Abraham Bagherjeiran, Kuangchih Lee, Kun Liu, Mihajlo Grbovic, Nemanja Djuric, Suju Rajan, Vladan Radosavljevic | ||||
| 446 | ODD: Outlier Detection and Description | 0 | Bryan Hooi, Leman Akoglu, Manish Gupta, Siddharth Bhatia, Sourav Chatterjee, Xiaodong Jiang | ||||
| 447 | Bayesian Causal Inference for Real World Interactive Systems | 0 | Alberto Lumbreras, David Rohde, Dawen Liang, Mike Gartrell, Nicolas Chopin, Yixin Wang | ||||
| 448 | Measures and Best Practices for Responsible AI | 0 | ChoJui Hsieh, Jwala Dhamala, Mehrnoosh Sameki, Sunipa Dev | ||||
| 449 | Data Science with Human in the Loop | 0 | Eduard C. Dragut, Lucian Popa, Slobodan Vucetic, Yunyao Li | ||||
| 450 | Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning | 0 | Dalton D. Lunga, Elizabeth Bondi, Shankar Iyer, Snehalkumar (Neil) S. Gaikwad | ||||
| 451 | VDS'21: Visualization in Data Science | 0 | Adam Perer, Alexander Lex, Alvitta Ottley, Claudia Plant, Junming Shao, Liang Gou, Torsten Möller | ||||
| 452 | Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA) | 0 | Anton van den Hengel, Guansong Pang, Jundong Li, Longbing Cao, Thomas G. Dietterich |