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Poster
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Mon 2:30
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Learning to reason over visual objects
Shanka Subhra Mondal · Taylor Webb · Jonathan Cohen
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Oral Session
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Mon 1:00
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Oral 1 Track 6: Deep Learning and representational learning II
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Poster
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Learning Multimodal Data Augmentation in Feature Space
Zichang Liu · Zhiqiang Tang · Xingjian Shi · Aston Zhang · Mu Li · Anshumali Shrivastava · Andrew Wilson
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Poster
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Tue 2:30
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Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
Nihal Nayak · Peilin Yu · Stephen Bach
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Poster
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Wed 2:30
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How I Learned to Stop Worrying and Love Retraining
Max Zimmer · Christoph Spiegel · Sebastian Pokutta
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Poster
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Wed 2:30
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On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
Zhijie Nie · Richong Zhang · Yongyi Mao
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Poster
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Wed 2:30
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Confidence Estimation Using Unlabeled Data
Chen Li · Xiaoling Hu · Chao Chen
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Poster
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Wed 7:30
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ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
Xiaojun Guo · Yifei Wang · Tianqi Du · Yisen Wang
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Poster
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The Dark Side of AutoML: Towards Architectural Backdoor Search
Ren Pang · Changjiang Li · Zhaohan Xi · Shouling Ji · Ting Wang
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Poster
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Mon 7:30
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ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
Ruslan Khalitov · Tong Yu · Lei Cheng · Zhirong Yang
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Poster
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Scalable Subset Sampling with Neural Conditional Poisson Networks
Adeel Pervez · Phillip Lippe · Efstratios Gavves
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Workshop
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Thu 5:00
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Invited Talk by Joseph Lim: Skill Reuse in Deep Reinforcement Learning
Joseph Lim
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