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Poster
Wed 1:00 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
Tatsuya Matsushima · Hiroki Furuta · Yutaka Matsuo · Ofir Nachum · Shixiang Gu
Oral
Thu 11:45 Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Zhiyuan Li · Yi Zhang · Sanjeev Arora
Poster
Tue 1:00 Sample-Efficient Automated Deep Reinforcement Learning
Jörg Franke · Gregor Koehler · André Biedenkapp · Frank Hutter
Poster
Wed 1:00 A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning
Samuel Horváth · Peter Richtarik
Poster
Tue 9:00 Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer · Ankesh Anand · Rishab Goel · R Devon Hjelm · Aaron Courville · Philip Bachman
Poster
Thu 9:00 Dataset Condensation with Gradient Matching
Bo ZHAO · Konda Reddy Mopuri · Hakan Bilen
Poster
Tue 17:00 Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar · Rishabh Agarwal · Dibya Ghosh · Sergey Levine
Poster
Tue 17:00 Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Zhiyuan Li · Yi Zhang · Sanjeev Arora
Oral
Mon 3:00 Dataset Condensation with Gradient Matching
Bo ZHAO · Konda Reddy Mopuri · Hakan Bilen
Poster
Wed 1:00 Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Yuge Shi · Brooks Paige · Philip Torr · Siddharth N
Spotlight
Thu 12:40 Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer · Ankesh Anand · Rishab Goel · R Devon Hjelm · Aaron Courville · Philip Bachman
Workshop
Fri 6:30 Data-Efficient Training of Autoencoders for Mildly Non-Linear Problems
Muhammad Al-Digeil