Papers
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.
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents
Sarah Keren, Haifeng Xu, Kofi Kwapong et al.
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
Yuheng Bu, Weihao Gao, Shaofeng Zou et al.
Infrared-Visible Cross-Modal Person Re-Identification with an X Modality
Diangang Li, Xing Wei, Xiaopeng Hong et al.
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel et al.
InstaNAS: Instance-Aware Neural Architecture Search
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan et al.
Instance-Adaptive Graph for EEG Emotion Recognition
Tengfei Song, Suyuan Liu, Wenming Zheng et al.
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise
Senwei Liang, Zhongzhan Huang, Mingfu Liang et al.
Instance-Wise Dynamic Sensor Selection for Human Activity Recognition
Xiaodong Yang, Yiqiang Chen, Hanchao Yu et al.
Integrating Deep Learning with Logic Fusion for Information Extraction
Wenya Wang, Sinno Jialin Pan