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• A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization

  Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N Balasubramanian

  9481-9488

  2021-05-18

• Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks

  Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias

  9524-9532

  2021-05-18

• Towards Domain Invariant Single Image Dehazing

  Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim

  9657-9665

  2021-05-18

• Hierarchical Relational Inference

  Aleksandar Stanić, Sjoerd van Steenkiste, Jürgen Schmidhuber

  9730-9738

  2021-05-18

• `Less Than One'-Shot Learning: Learning N Classes From M < N Samples

  Ilia Sucholutsky, Matthias Schonlau

  9739-9746

  2021-05-18

• Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization

  Wei Tao, Wei Li, Zhisong Pan, Qing Tao

  9843-9850

  2021-05-18

• Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm

  Akira Terauchi, Naoki Mori

  9851-9858

  2021-05-18

• Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach

  Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck

  9932-9939

  2021-05-18

• Toward Robust Long Range Policy Transfer

  Wei-Cheng Tseng, Jin-Siang Lin, Yao-Min Feng, Min Sun

  9958-9966

  2021-05-18

• Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks

  Russell Tsuchida, Tim Pearce, Chris van der Heide, Fred Roosta, Marcus Gallagher

  9967-9977

  2021-05-18

• Learning from Noisy Labels with Complementary Loss Functions

  Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang

  10111-10119

  2021-05-18

• Addressing Class Imbalance in Federated Learning

  Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu

  10165-10173

  2021-05-18

• Adaptive Verifiable Training Using Pairwise Class Similarity

  Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian Molloy

  10201-10209

  2021-05-18

• Learning to Purify Noisy Labels via Meta Soft Label Corrector

  Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng

  10388-10396

  2021-05-18

• Distant Transfer Learning via Deep Random Walk

  Qiao Xiao, Yu Zhang

  10422-10429

  2021-05-18

• Towards Generalized Implementation of Wasserstein Distance in GANs

  Minkai Xu

  10514-10522

  2021-05-18

• Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective

  Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun

  10551-10559

  2021-05-18

• Adversarial Partial Multi-Label Learning with Label Disambiguation

  Yan Yan, Yuhong Guo

  10568-10576

  2021-05-18

• Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating

  Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang

  10896-10904

  2021-05-18

• Exploratory Machine Learning with Unknown Unknowns

  Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou

  10999-11006

  2021-05-18

• Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance

  Shibo Zhou, Xiaohua Li, Ying Chen, Sanjeev T. Chandrasekaran, Arindam Sanyal

  11143-11151

  2021-05-18

• Graph Neural Networks with Heterophily

  Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra

  11168-11176

  2021-05-18

• Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms

  Daniel J. Rosenkrantz, Madhav Marathe, S. S. Ravi, Richard E. Stearns

  11334-11342

  2021-05-18

• A Unified Taylor Framework for Revisiting Attribution Methods

  Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu

  11462-11469

  2021-05-18

• Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization

  Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura

  11564-11574

  2021-05-18