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33 Results
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Poster
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Mon 9:00 |
Revisiting Few-sample BERT Fine-tuning Tianyi Zhang · Felix Wu · Arzoo Katiyar · Kilian Weinberger · Yoav Artzi |
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Poster
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Tue 1:00 |
Sample-Efficient Automated Deep Reinforcement Learning Jörg Franke · Gregor Koehler · André Biedenkapp · Frank Hutter |
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Oral
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Thu 11:45 |
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? Zhiyuan Li · Yi Zhang · Sanjeev Arora |
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Poster
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Tue 17:00 |
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? Zhiyuan Li · Yi Zhang · Sanjeev Arora |
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Poster
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Tue 17:00 |
Contextual Dropout: An Efficient Sample-Dependent Dropout Module XINJIE FAN · Shujian Zhang · Korawat Tanwisuth · Xiaoning Qian · Mingyuan Zhou |
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Spotlight
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Thu 12:40 |
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer · Ankesh Anand · Rishab Goel · R Devon Hjelm · Aaron Courville · Philip Bachman |
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Poster
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Thu 17:00 |
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models Mitchell Hill · Jonathan Mitchell · Song-Chun Zhu |
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Poster
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Wed 1:00 |
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi · LU HOU · Lifeng Shang · Xin Jiang · Qun Liu · Zhi-Ming Ma |
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Poster
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Mon 9:00 |
Conditional Negative Sampling for Contrastive Learning of Visual Representations Mike Wu · Milan Mosse · Chengxu Zhuang · Daniel Yamins · Noah Goodman |
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Spotlight
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Thu 21:18 |
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery Yutong Xie · Chence Shi · Hao Zhou · Yuwei Yang · Weinan Zhang · Yong Yu · Lei Li |
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Poster
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Thu 17:00 |
Learning to Sample with Local and Global Contexts in Experience Replay Buffer Youngmin Oh · Kimin Lee · Jinwoo Shin · Eunho Yang · Sung Ju Hwang |
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Poster
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Thu 9:00 |
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau · Rémi Piché-Taillefer · Ioannis Mitliagkas · Remi Combes |