Papers
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images
Sanjana Srivastava, Guy Ben-Yosef, Xavier Boix
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Reinhard Heckel, Paul Hand
Unsupervised Adversarial Image Reconstruction
Arthur Pajot, Emmanuel de Bezenac, Patrick Gallinari
Time-Agnostic Prediction: Predicting Predictable Video Frames
Dinesh Jayaraman, Frederik Ebert, Alexei Efros et al.
Transferring Knowledge across Learning Processes
Sebastian Flennerhag, Pablo G. Moreno, Neil D. Lawrence et al.
Environment Probing Interaction Policies
Wenxuan Zhou, Lerrel Pinto, Abhinav Gupta
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Gasteiger, Aleksandar Bojchevski, Stephan Günnemann
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan, Stephan Zheng, Yisong Yue et al.
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets
Will Xiao, Honglin Chen, Qianli Liao et al.
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
Marc T Law, Jake Snell, Amir-massoud Farahmand et al.
Defensive Quantization: When Efficiency Meets Robustness
Ji Lin, Chuang Gan, Song Han
Neural Logic Machines
Honghua Dong, Jiayuan Mao, Tian Lin et al.
Unsupervised Learning of the Set of Local Maxima
Lior Wolf, Sagie Benaim, Tomer Galanti
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
Navid Azizan, Babak Hassibi
DHER: Hindsight Experience Replay for Dynamic Goals
Meng Fang, Cheng Zhou, Bei Shi et al.
Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors
Andrew Ilyas, Logan Engstrom, Aleksander Madry
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan et al.
Meta-learning with differentiable closed-form solvers
Luca Bertinetto, Joao F. Henriques, Philip Torr et al.
Learning Neural PDE Solvers with Convergence Guarantees
Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann et al.
Harmonic Unpaired Image-to-image Translation
Rui Zhang, Tomas Pfister, Jia Li
BA-Net: Dense Bundle Adjustment Networks
Chengzhou Tang, Ping Tan
Supervised Community Detection with Line Graph Neural Networks
Zhengdao Chen, Lisha Li, Joan Bruna
Robustness May Be at Odds with Accuracy
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom et al.
Variance Reduction for Reinforcement Learning in Input-Driven Environments
Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf et al.
Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach
Saeed Amizadeh, Sergiy Matusevych, Markus Weimer