Papers
Improving Fairness and Privacy in Selection Problems
Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan et al.
Improving Generative Moment Matching Networks with Distribution Partition
Yong Ren, Yucen Luo, Jun Zhu
Improving Gradient Flow with Unrolled Highway Expectation Maximization
Chonghyuk Song, Eunseok Kim, Inwook Shim
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network
Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun et al.
Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract)
Kento Nishi, Yi Ding, Alex Rich et al.
Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding
Yi Zhou, Shan Hu, Mingyu Xiao et al.
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries
Kun-Peng Ning, Lue Tao, Songcan Chen et al.
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization
Tianhao Wang, Yuheng Zhang, Ruoxi Jia
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Denis Yarats, Amy Zhang, Ilya Kostrikov et al.
Improving the Efficiency and Effectiveness for BERT-based Entity Resolution
Bing Li, Yukai Miao, Yaoshu Wang et al.
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions
Jonathan Martinez, Kobi Gal, Ece Kamar et al.
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning
Binbin Xie, Jinsong Su, Yubin Ge et al.
Incentive-Aware PAC Learning
Hanrui Zhang, Vincent Conitzer
Incentivizing Truthfulness Through Audits in Strategic Classification
Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik
Incorporating Bidirection-Interactive Information and Semantic Features for Relational Facts Extraction (Student Abstract)
Yang Yu, Guohua Wang, Haopeng Ren et al.
Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract)
Qiqi Ding, Yi Cai, Ke Xu et al.
Increasing Iterate Averaging for Solving Saddle-Point Problems
Yuan Gao, Christian Kroer, Donald Goldfarb
Incremental Embedding Learning via Zero-Shot Translation
Kun Wei, Cheng Deng, Xu Yang et al.
Indecision Modeling
Duncan C. McElfresh, Lok Chan, Kenzie Doyle et al.
Individual Fairness in Kidney Exchange Programs
Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki et al.
Inductive Graph Neural Networks for Spatiotemporal Kriging
Yuankai Wu, Dingyi Zhuang, Aurelie Labbe et al.
Inference-Based Deterministic Messaging For Multi-Agent Communication
Varun Bhatt, Michael Buro
Inference Fusion with Associative Semantics for Unseen Object Detection
Yanan Li, Pengyang Li, Han Cui et al.