Papers
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems
Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae et al.
Adaptive Sampling Towards Fast Graph Representation Learning
Wenbing Huang, Tong Zhang, Yu Rong et al.
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
Alexander Neitz, Giambattista Parascandolo, Stefan Bauer et al.
Adding One Neuron Can Eliminate All Bad Local Minima
SHIYU LIANG, Ruoyu Sun, Jason Lee et al.
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
YAN ZHENG, Zhaopeng Meng, Jianye Hao et al.
A Dual Framework for Low-rank Tensor Completion
Madhav Nimishakavi, Pratik Kumar Jawanpuria, Bamdev Mishra
Adversarial Attacks on Stochastic Bandits
Kwang-Sung Jun, Lihong Li, Yuzhe Ma et al.
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
Gamaleldin Elsayed, Shreya Shankar, Brian Cheung et al.
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt, Shibani Santurkar, Dimitris Tsipras et al.
Adversarially Robust Optimization with Gaussian Processes
Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka et al.
Adversarial Multiple Source Domain Adaptation
Han Zhao, Shanghang Zhang, Guanhang Wu et al.
Adversarial Regularizers in Inverse Problems
Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Dimitrios Diochnos, Saeed Mahloujifar, Mohammad Mahmoody
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision
Rakshith R Shetty, Mario Fritz, Bernt Schiele
Adversarial Text Generation via Feature-Mover's Distance
Liqun Chen, Shuyang Dai, Chenyang Tao et al.
Adversarial vulnerability for any classifier
Alhussein Fawzi, Hamza Fawzi, Omar Fawzi
A flexible model for training action localization with varying levels of supervision
Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev et al.
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
Omer Ben-Porat, Moshe Tennenholtz
A General Method for Amortizing Variational Filtering
Joseph Marino, Milan Cvitkovic, Yisong Yue
Algebraic tests of general Gaussian latent tree models
Dennis Leung, Mathias Drton
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation
Shivapratap Gopakumar, Sunil Gupta, Santu Rana et al.
Algorithmic Linearly Constrained Gaussian Processes
Markus Lange-Hegermann
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
Simon S Du, Wei Hu, Jason Lee
Algorithms and Theory for Multiple-Source Adaptation
Judy Hoffman, Mehryar Mohri, Ningshan Zhang
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
Jeffrey Chan, Valerio Perrone, Jeffrey Spence et al.