Papers
Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment
Fredrik Präntare, Herman Appelgren, Fredrik Heintz
Anytime Inference with Distilled Hierarchical Neural Ensembles
Adria Ruiz, Jakob Verbeek
A One-Size-Fits-All Solution to Conservative Bandit Problems
Yihan Du, Siwei Wang, Longbo Huang
A Permutation-Equivariant Neural Network Architecture For Auction Design
Jad Rahme, Samy Jelassi, Joan Bruna et al.
Apparently Irrational Choice as Optimal Sequential Decision Making
Haiyang Chen, Hyung Jin Chang, Andrew Howes
Appearance-Motion Memory Consistency Network for Video Anomaly Detection
Ruichu Cai, Hao Zhang, Wen Liu et al.
Applied Machine Learning for Games: A Graduate School Course
Yilei Zeng, Aayush Shah, Jameson Thai et al.
Approximate Multiplication of Sparse Matrices with Limited Space
Yuanyu Wan, Lijun Zhang
A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments
Yu-Hang Zhou, Peng Hu, Chen Liang et al.
A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract)
Guangcheng Liu, Yuexian Hou, Shikai Song
Arbitrary Video Style Transfer via Multi-Channel Correlation
Yingying Deng, Fan Tang, Weiming Dong et al.
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
Huimin Zeng, Chen Zhu, Tom Goldstein et al.
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract)
Rupak Sarkar, Ashiqur R. KhudaBukhsh
A Recipe for Global Convergence Guarantee in Deep Neural Networks
Kenji Kawaguchi, Qingyun Sun
A Reciprocal Embedding Framework For Modelling Mutual Preferences
R. Ramanathan, Nicolas K. Shinada, Michinobu Shimatani et al.
Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi et al.
Argument Mining Driven Analysis of Peer-Reviews
Michael Fromm, Evgeniy Faerman, Max Berrendorf et al.
Artificial Dummies for Urban Dataset Augmentation
Antonín Vobecký, David Hurych, Michal Uřičář et al.
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
Krishna C. Kalagarla, Rahul Jain, Pierluigi Nuzzo
A SAT-based Resolution of Lam's Problem
Curtis Bright, Kevin K. H. Cheung, Brett Stevens et al.
A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion
Danh Le-Phuoc, Thomas Eiter, Anh Le-Tuan
A Scalable Two Stage Approach to Computing Optimal Decision Sets
Alexey Ignatiev, Edward Lam, Peter J. Stuckey et al.
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering
Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi et al.
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)
Anshul Ahuja, Geetesh Gupta, Suman Kundu