AAAI 2019-2010.md

December 20, 2019 · View on GitHub

AAAI 2019

  1. Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints, Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger, Pages 2272-2279, PDF

  2. Evolving Solutions to Community-Structured Satisfiability Formulas, Frank Neumann, Andrew M. Sutton, Pages 2346-2353, PDF

  3. Pareto Optimization for Subset Selection with Dynamic Cost Constraints, Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich, Pages 2354-2361, PDF

  4. Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition, Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang, Pages 8610-8617, PDF

AAAI 2018

  1. Joint Learning of Set Cardinality and State Distribution, S. Hamid Rezatofighi, Anton Milan, Qinfeng Shi, Anthony Dick, Ian Reid

  2. Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement, Junjie Zhang, Qi Wu, Jian Zhang, Chunhua Shen, Jianfeng Lu

  3. HCVRD: A Benchmark for Large-Scale Human-Centered Visual Relationship Detection, Bohan Zhuang, Qi Wu, Chunhua Shen, Ian Reid, Anton van den Hengel

AAAI 2017

  1. Data-Driven Approximations to NP-Hard Problems, Anton Milan, S. Hamid Rezatofighi, Ravi Garg, Anthony Dick, Ian Reid

  2. MPGL: An Efficient Matching Pursuit Method for Generalized LASSO, Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

  3. Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties, Zhen Zhang, Qinfeng Shi, Julian McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel

  4. Online Multi-Target Tracking Using Recurrent Neural Networks, Anton Milan, S. Hamid Rezatofighi, Anthony Dick, Ian Reid, Konrad Schindler

  5. What's Hot in Evolutionary Computation, Tobias Friedrich, Frank Neumann

AAAI 2016

  1. Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data, Mingkui Tan, Yan Yan, Li Wang, Anton Van Den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi

AAAI 2015

AAAI 2014

  1. Increasing VCG Revenue by Decreasing the Quality of Items, Mingyu Guo, Argyrios Deligkas, Rahul Savani

AAAI 2013

AAAI 2012

  1. A Parameterized Runtime Analysis of Evolutionary Algorithms for the Euclidean Traveling Salesperson Problem, Andrew M. Sutton, Frank Neumann

AAAI 2011

  1. Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification, Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim

  2. VCG Redistribution with Gross Substitutes, Mingyu Guo

AAAI 2010

  1. Computationally Feasible Automated Mechanism Design: General Approach and Case Studies, Mingyu Guo, Vincent Conitzer