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Poster
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Wed 9:00
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Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
Abhishek Gupta · Aldo Pacchiano · Yuexiang Zhai · Sham Kakade · Sergey Levine
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Poster
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Tue 14:00
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Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero · Yann LeCun
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Expo Demonstration
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Mon 8:00
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Conditional Compute for On-device Video Understanding
Tijmen Blankevoort
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Expo Talk Panel
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Mon 11:00
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Understanding the Landscape of the latest Large Models - Virtual
Lavanya Shukla
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Poster
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Tue 9:00
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Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Jaehoon Oh · Sungnyun Kim · Namgyu Ho · Jin-Hwa Kim · Hwanjun Song · Se-Young Yun
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Poster
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Tue 14:00
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Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction
Kaifeng Lyu · Zhiyuan Li · Sanjeev Arora
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Poster
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Wed 9:00
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Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
Rongzhe Wei · Haoteng YIN · Junteng Jia · Austin Benson · Pan Li
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Poster
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Wed 9:00
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360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning
Bolivar Solarte · Chin-Hsuan Wu · Yueh-Cheng Liu · Yi-Hsuan Tsai · Min Sun
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Poster
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Thu 9:00
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Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov · Andrei Filatov · Teresa Yeo · Ajay Sohmshetty · Amir Zamir
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Poster
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Wed 9:00
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Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
Yao Qin · Chiyuan Zhang · Ting Chen · Balaji Lakshminarayanan · Alex Beutel · Xuezhi Wang
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Poster
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Wed 14:00
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Understanding Hyperdimensional Computing for Parallel Single-Pass Learning
Tao Yu · Yichi Zhang · Zhiru Zhang · Christopher De Sa
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Poster
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Thu 14:00
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EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
Ahmad Darkhalil · Dandan Shan · Bin Zhu · Jian Ma · Amlan Kar · Richard Higgins · Sanja Fidler · David Fouhey · Dima Damen
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