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• Towards Automating Model Explanations with Certified Robustness Guarantees

  Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

  6935-6943

  2022-06-28

• Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets

  Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang

  6960-6969

  2022-06-28

• Learning Expected Emphatic Traces for Deep RL

  Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt

  7015-7023

  2022-06-28

• Fully Spiking Variational Autoencoder

  Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada

  7059-7067

  2022-06-28

• Classifying Emails into Human vs Machine Category

  Changsung Kang, Hongwei Shang, Jean-Marc Langlois

  7069-7077

  2022-06-28

• Spatial Frequency Bias in Convolutional Generative Adversarial Networks

  Mahyar Khayatkhoei, Ahmed Elgammal

  7152-7159

  2022-06-28

• A Nested Bi-level Optimization Framework for Robust Few Shot Learning

  Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh Iyer

  7176-7184

  2022-06-28

• Interpretable Clustering via Multi-Polytope Machines

  Connor Lawless, Jayant Kalagnanam, Lam M Nguyen, Dzung Phan, Chandra Reddy

  7309-7316

  2022-06-28

• Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks

  Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang

  7354-7362

  2022-06-28

• Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates

  Dan Ley, Umang Bhatt, Adrian Weller

  7390-7398

  2022-06-28

• Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model

  Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

  7417-7425

  2022-06-28

• Deep Unsupervised Hashing with Latent Semantic Components

  Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang

  7488-7496

  2022-06-28

• RareGAN: Generating Samples for Rare Classes

  Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar

  7506-7515

  2022-06-28

• Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning

  Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill

  7841-7849

  2022-06-28

• Random Tensor Theory for Tensor Decomposition

  Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau

  7913-7921

  2022-06-28

• Knowledge Distillation via Constrained Variational Inference

  Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-wei Lehman

  8132-8140

  2022-06-28

• Chaining Value Functions for Off-Policy Learning

  Simon Schmitt, John Shawe-Taylor, Hado van Hasselt

  8187-8195

  2022-06-28

• Learning to Transfer with von Neumann Conditional Divergence

  Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio

  8231-8239

  2022-06-28

• ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems

  Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, A. Salman Avestimehr

  8342-8350

  2022-06-28

• Feature Importance Explanations for Temporal Black-Box Models

  Akshay Sood, Mark Craven

  8351-8360

  2022-06-28

• Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models

  Sahil Verma, Keegan Hines, John P. Dickerson

  8512-8519

  2022-06-28

• Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD

  Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji

  8548-8556

  2022-06-28

• Coordinating Momenta for Cross-Silo Federated Learning

  An Xu, Heng Huang

  8735-8743

  2022-06-28

• Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning

  Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach

  8806-8813

  2022-06-28

• Exploiting Invariance in Training Deep Neural Networks

  Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov

  8849-8856

  2022-06-28