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• Fair Representations by Compression

  Xavier Gitiaux, Huzefa Rangwala

  11506-11515

  2021-05-18

• Amnesiac Machine Learning

  Laura Graves, Vineel Nagisetty, Vijay Ganesh

  11516-11524

  2021-05-18

• On the Verification of Neural ODEs with Stochastic Guarantees

  Sophie Grunbacher, Ramin Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu

  11525-11535

  2021-05-18

• PenDer: Incorporating Shape Constraints via Penalized Derivatives

  Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson

  11536-11544

  2021-05-18

• Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization

  Shir Gur, Ameen Ali, Lior Wolf

  11545-11554

  2021-05-18

• Differentially Private Clustering via Maximum Coverage

  Matthew Jones, Huy L. Nguyen, Thy D Nguyen

  11555-11563

  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

• On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning

  Eoin M. Kenny, Mark T Keane

  11575-11585

  2021-05-18

• How RL Agents Behave When Their Actions Are Modified

  Eric D. Langlois, Tom Everitt

  11586-11594

  2021-05-18

• Outlier Impact Characterization for Time Series Data

  Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He

  11595-11603

  2021-05-18

• Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations

  Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee

  11604-11612

  2021-05-18

• Ethical Dilemmas in Strategic Games

  Pavel Naumov, Rui-Jie Yew

  11613-11621

  2021-05-18

• Comprehension and Knowledge

  Pavel Naumov, Kevin Ros

  11622-11629

  2021-05-18

• Fair Influence Maximization: a Welfare Optimization Approach

  Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe

  11630-11638

  2021-05-18

• Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation

  Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Konstantinos N Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae

  11639-11647

  2021-05-18

• Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption

  Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li

  11648-11656

  2021-05-18

• Ethically Compliant Sequential Decision Making

  Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein

  11657-11665

  2021-05-18

• Improving Robustness to Model Inversion Attacks via Mutual Information Regularization

  Tianhao Wang, Yuheng Zhang, Ruoxi Jia

  11666-11673

  2021-05-18

• Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation

  Yiting Wu, Min Zhang

  11674-11681

  2021-05-18

• Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors

  Ruihan Zhang, Prashan Madumal, Tim Miller, Krista A. Ehinger, Benjamin I. P. Rubinstein

  11682-11690

  2021-05-18

• i-Algebra: Towards Interactive Interpretability of Deep Neural Networks

  Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang

  11691-11698

  2021-05-18

• Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks

  Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun

  11699-11707

  2021-05-18

• Computing Plan-Length Bounds Using Lengths of Longest Paths

  Mohammad Abdulaziz, Dominik Berger

  11709-11717

  2021-05-18

• Constrained Risk-Averse Markov Decision Processes

  Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames

  11718-11725

  2021-05-18

• Contract Scheduling With Predictions

  Spyros Angelopoulos, Shahin Kamali

  11726-11733

  2021-05-18