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Poster
Thu 21:00 Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
Poster
Wed 9:00 High-Fidelity Generative Image Compression
Fabian Mentzer · George D Toderici · Michael Tschannen · Eirikur Agustsson
Oral
Wed 6:00 High-Fidelity Generative Image Compression
Fabian Mentzer · George D Toderici · Michael Tschannen · Eirikur Agustsson
Poster
Tue 21:00 Multi-task Batch Reinforcement Learning with Metric Learning
Jiachen Li · Quan Vuong · Shuang Liu · Minghua Liu · Kamil Ciosek · Henrik Christensen · Hao Su
Poster
Tue 21:00 ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
Wen-Da Jin · Jun Xu · Ming-Ming Cheng · Yi Zhang · Wei Guo
Poster
Tue 21:00 Learning About Objects by Learning to Interact with Them
Martin Lohmann · Jordi Salvador · Aniruddha Kembhavi · Roozbeh Mottaghi
Poster
Wed 9:00 Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah · Eric Zhan · Jennifer J Sun · Abhinav Verma · Yisong Yue · Swarat Chaudhuri
Poster
Tue 21:00 Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar · Aurick Zhou · George Tucker · Sergey Levine
Poster
Wed 21:00 Active Structure Learning of Causal DAGs via Directed Clique Trees
Chandler Squires · Sara Magliacane · Kristjan Greenewald · Dmitriy Katz · Murat Kocaoglu · Karthikeyan Shanmugam
Poster
Tue 21:00 Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo · Qizhang Li · Hao Chen
Poster
Tue 9:00 Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch · Oleh Rybkin · Frederik Ebert · Shenghao Zhou · Dinesh Jayaraman · Chelsea Finn · Sergey Levine
Poster
Thu 9:00 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
Andrew Foong · Wessel Bruinsma · Jonathan Gordon · Yann Dubois · James Requeima · Richard Turner