Papers
Improving Policies via Search in Cooperative Partially Observable Games
Adam Lerer, Hengyuan Hu, Jakob Foerster et al.
Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring
Xiyao Ma, Qile Zhu, Yanlin Zhou et al.
Improving Semantic Parsing Using Statistical Word Sense Disambiguation (Student Abstract)
Ritwik Bose, Siddharth Vashishtha, James Allen
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
Daizong Ding, Mi Zhang, Xudong Pan et al.
Incentive-Compatible Classification
Yakov Babichenko, Oren Dean, Moshe Tennenholtz
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
Zhiyuan Liu, Huazheng Wang, Fan Shen et al.
Inception LSTM for Next-frame Video Prediction (Student Abstract)
Matin Hosseini, Anthony S. Maida, Majid Hosseini et al.
Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework
Heyuan Wang, Tengjiao Wang, Yi Li
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification
Haobo Wang, Chen Chen, Weiwei Liu et al.
Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations
Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly et al.
Incremental Multi-Domain Learning with Network Latent Tensor Factorization
Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos et al.
Incremental Sense Weight Training for In-Depth Interpretation of Contextualized Word Embeddings (Student Abstract)
Xinyi Jiang, Zhengzhe Yang, Jinho D. Choi
Incremental Symmetry Breaking Constraints for Graph Search Problems
Avraham Itzhakov, Michael Codish
Independence Promoted Graph Disentangled Networks
Yanbei Liu, Xiao Wang, Shu Wu et al.
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
Yu Zheng, Bowei Chen, Timothy M. Hospedales et al.
Indirect Stochastic Gradient Quantization and Its Application in Distributed Deep Learning
Afshin Abdi, Faramarz Fekri
Individual-Based Stability in Hedonic Diversity Games
Niclas Boehmer, Edith Elkind
Inducing Relational Knowledge from BERT
Zied Bouraoui, Jose Camacho-Collados, Steven Schockaert
Induction of Subgoal Automata for Reinforcement Learning
Daniel Furelos-Blanco, Mark Law, Alessandra Russo et al.
Inefficiency of K-FAC for Large Batch Size Training
Linjian Ma, Gabe Montague, Jiayu Ye et al.
Inferring Nighttime Satellite Imagery from Human Mobility
Brian Dickinson, Gourab Ghoshal, Xerxes Dotiwalla et al.
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations
Wei Xing, Shireen Elhabian, Robert Kirby et al.
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations
Jianfei Gao, Mohamed A. Zahran, Amit Sheoran et al.
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip
Yuxuan Song, Minkai Xu, Lantao Yu et al.
Information Elicitation Mechanisms for Statistical Estimation
Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao et al.