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• On the Convergence of Communication-Efficient Local SGD for Federated Learning

  Hongchang Gao, An Xu, Heng Huang

  7510-7518

  2021-05-18

• A Trace-restricted Kronecker-Factored Approximation to Natural Gradient

  Kaixin Gao, Xiaolei Liu, Zhenghai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu

  7519-7527

  2021-05-18

• Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation

  Li Gao, Lefei Zhang, Qian Zhang

  7528-7536

  2021-05-18

• Increasing Iterate Averaging for Solving Saddle-Point Problems

  Yuan Gao, Christian Kroer, Donald Goldfarb

  7537-7544

  2021-05-18

• Uncertainty-Aware Multi-View Representation Learning

  Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu

  7545-7553

  2021-05-18

• Justicia: A Stochastic SAT Approach to Formally Verify Fairness

  Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

  7554-7563

  2021-05-18

• The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective

  Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma

  7564-7573

  2021-05-18

• Attribute-Guided Adversarial Training for Robustness to Natural Perturbations

  Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang

  7574-7582

  2021-05-18

• Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization

  Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan

  7583-7591

  2021-05-18

• Attentive Neural Point Processes for Event Forecasting

  Yulong Gu

  7592-7600

  2021-05-18

• Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

  Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang

  7601-7609

  2021-05-18

• Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation

  Umang Gupta, Aaron M Ferber, Bistra Dilkina, Greg Ver Steeg

  7610-7619

  2021-05-18

• Towards Reusable Network Components by Learning Compatible Representations

  Michael Gygli, Jasper Uijlings, Vittorio Ferrari

  7620-7629

  2021-05-18

• High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

  Eric Han, Ishank Arora, Jonathan Scarlett

  7630-7638

  2021-05-18

• Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability

  Tao Han, Wei-Wei Tu, Yu-Feng Li

  7639-7646

  2021-05-18

• DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

  Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening

  7647-7656

  2021-05-18

• Liquid Time-constant Networks

  Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu

  7657-7666

  2021-05-18

• Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs

  Aria HasanzadeZonuzy, Archana Bura, Dileep Kalathil, Srinivas Shakkottai

  7667-7674

  2021-05-18

• Analysing the Noise Model Error for Realistic Noisy Label Data

  Michael A. Hedderich, Dawei Zhu, Dietrich Klakow

  7675-7684

  2021-05-18

• Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size

  Christoph Hertrich, Martin Skutella

  7685-7693

  2021-05-18

• Scaling-Up Robust Gradient Descent Techniques

  Matthew J. Holland

  7694-7701

  2021-05-18

• Learning Model-Based Privacy Protection under Budget Constraints

  Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

  7702-7710

  2021-05-18

• Graph Game Embedding

  Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang

  7711-7720

  2021-05-18

• Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks

  Danijela Horak, Simiao Yu, Gholamreza Salimi-Khorshidi

  7721-7728

  2021-05-18

• Storage Fit Learning with Feature Evolvable Streams

  Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

  7729-7736

  2021-05-18