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21 Results
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Poster
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Mon 1:00 |
Overfitting for Fun and Profit: Instance-Adaptive Data Compression Ties van Rozendaal · Iris Huijben · Taco Cohen |
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Poster
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Thu 17:00 |
Adapting to Reward Progressivity via Spectral Reinforcement Learning Michael Dann · John Thangarajah |
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Poster
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Thu 1:00 |
Adaptive and Generative Zero-Shot Learning Yu-Ying Chou · Hsuan-Tien Lin · Tyng-Luh Liu |
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Oral
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Thu 19:00 |
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma |
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Poster
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Thu 17:00 |
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei · Kendrick Shen · Yining Chen · Tengyu Ma |
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Poster
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Tue 1:00 |
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing Asish Ghoshal · Xilun Chen · Sonal Gupta · Luke Zettlemoyer · Yashar Mehdad |
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Poster
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Mon 17:00 |
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang · Kaidi Xu · Sijia Liu · Pin-Yu Chen · Tsui-Wei Weng · Chuang Gan · Meng Wang |
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Poster
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Wed 17:00 |
Adaptive Procedural Task Generation for Hard-Exploration Problems Kuan Fang · Yuke Zhu · Silvio Savarese · Li Fei-Fei |
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Poster
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Thu 9:00 |
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault · Amine EL hattami · Chris J Pal |
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Poster
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Thu 17:00 |
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao · Yining Chen · Junwei Lu · Nikos Arechiga · Adrien Gaidon · Tengyu Ma |
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Poster
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Mon 9:00 |
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers Benjamin Eysenbach · Shreyas Chaudhari · Swapnil Asawa · Sergey Levine · Ruslan Salakhutdinov |
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Poster
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Thu 9:00 |
Domain-Robust Visual Imitation Learning with Mutual Information Constraints Edoardo Cetin · Oya Celiktutan |