Papers
A Flexible Framework for Communication-Efficient Machine Learning
Sarit Khirirat, Sindri Magnússon, Arda Aytekin et al.
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
Xianfeng Li, Weijie Chen, Di Xie et al.
A General Class of Transfer Learning Regression without Implementation Cost
Shunya Minami, Song Liu, Stephen Wu et al.
A General Offline Reinforcement Learning Framework for Interactive Recommendation
Teng Xiao, Donglin Wang
A General Setting for Gradual Semantics Dealing with Similarity
Leila Amgoud, Victor David
A Generative Adversarial Framework for Bounding Confounded Causal Effects
Yaowei Hu, Yongkai Wu, Lu Zhang et al.
Agent Incentives: A Causal Perspective
Tom Everitt, Ryan Carey, Eric D. Langlois et al.
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction
Zhenguang Liu, Kedi Lyu, Shuang Wu et al.
Aggregating Binary Judgments Ranked by Accuracy
Daniel Halpern, Gregory Kehne, Dominik Peters et al.
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry
Yao Lu, Xiaoli Xu, Mingyu Ding et al.
A Graph-based Relevance Matching Model for Ad-hoc Retrieval
Yufeng Zhang, Jinghao Zhang, Zeyu Cui et al.
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
Yongkang Liu, Shi Feng, Daling Wang et al.
Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment
Mengying Fu, Tianning Yuan, Fang Wan et al.
A Health-friendly Speaker Verification System Supporting Mask Wearing
Chaotao Chen, Di Jiang, Jinhua Peng et al.
A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy
Aqib Ahmed, Joshua Leppo, Michal Lesniewski et al.
A Hierarchical Approach to Multi-Event Survival Analysis
Donna Tjandra, Yifei He, Jenna Wiens
A Highly-Parameterized Ensemble to Play Gin Rummy
Masayuki Nagai, Kavya Shrivastava, Kien Ta et al.
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Ashraful Islam, Chengjiang Long, Richard Radke
A Hybrid Bandit Framework for Diversified Recommendation
Qinxu Ding, Yong Liu, Chunyan Miao et al.
A Hybrid Probabilistic Approach for Table Understanding
Kexuan Sun, Harsha Rayudu, Jay Pujara
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method
Chao Zhang, Zhijian Li, Zebang Shen et al.
AI-Assisted Scientific Data Collection with Iterative Human Feedback
Travis Mandel, James Boyd, Sebastian J. Carter et al.
AI-Empowered Decision Support for COVID-19 Social Distancing
Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng et al.
AI for Social Good: Between My Research and the Real World
Zheyuan Ryan Shi