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• Hard to Forget: Poisoning Attacks on Certified Machine Unlearning

  Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld

  7691-7700

  2022-06-28

• Exploring Safer Behaviors for Deep Reinforcement Learning

  Enrico Marchesini, Davide Corsi, Alessandro Farinelli

  7701-7709

  2022-06-28

• fGOT: Graph Distances Based on Filters and Optimal Transport

  Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard

  7710-7718

  2022-06-28

• When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty

  Fernando Martínez-Plumed, David Castellano, Carlos Monserrat-Aranda, José Hernández-Orallo

  7719-7727

  2022-06-28

• Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks

  Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

  7728-7735

  2022-06-28

• An Experimental Design Approach for Regret Minimization in Logistic Bandits

  Blake Mason, Kwang-Sung Jun, Lalit Jain

  7736-7743

  2022-06-28

• Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training

  Estelle Massart, Vinayak Abrol

  7744-7751

  2022-06-28

• Curiosity-Driven Exploration via Latent Bayesian Surprise

  Pietro Mazzaglia, Ozan Catal, Tim Verbelen, Bart Dhoedt

  7752-7760

  2022-06-28

• What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies

  Leandro C. Medeiros, David S. Aleixo, Levi H. S. Lelis

  7761-7769

  2022-06-28

• Top-Down Deep Clustering with Multi-Generator GANs

  Daniel P. M. de Mello, Renato M. Assunção, Fabricio Murai

  7770-7778

  2022-06-28

• Temporal Knowledge Graph Completion Using Box Embeddings

  Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan

  7779-7787

  2022-06-28

• An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity

  Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum

  7788-7796

  2022-06-28

• Simple Unsupervised Graph Representation Learning

  Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

  7797-7805

  2022-06-28

• The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection

  Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar

  7806-7813

  2022-06-28

• Learning Bayesian Networks in the Presence of Structural Side Information

  Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash

  7814-7822

  2022-06-28

• Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks

  Seungyong Moon, Gaon An, Hyun Oh Song

  7823-7830

  2022-06-28

• Provable Guarantees for Understanding Out-of-Distribution Detection

  Peyman Morteza, Yixuan Li

  7831-7840

  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

• Unsupervised Reinforcement Learning in Multiple Environments

  Mirco Mutti, Mattia Mancassola, Marcello Restelli

  7850-7858

  2022-06-28

• Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning

  Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam

  7859-7867

  2022-06-28

• A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations

  Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu

  7868-7876

  2022-06-28

• Out of Distribution Data Detection Using Dropout Bayesian Neural Networks

  Andre T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt

  7877-7885

  2022-06-28

• Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation

  Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon

  7886-7894

  2022-06-28

• Improving Evidential Deep Learning via Multi-Task Learning

  Dongpin Oh, Bonggun Shin

  7895-7903

  2022-06-28

• Clustering Approach to Solve Hierarchical Classification Problem Complexity

  Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh

  7904-7912

  2022-06-28