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Poster
Tue 2:30 Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
Nihal Nayak · Peilin Yu · Stephen Bach
Poster
Learning Multimodal Data Augmentation in Feature Space
Zichang Liu · Zhiqiang Tang · Xingjian Shi · Aston Zhang · Mu Li · Anshumali Shrivastava · Andrew Wilson
Oral Session
Mon 1:00 Oral 1 Track 6: Deep Learning and representational learning II
Poster
Calibrating the Rigged Lottery: Making All Tickets Reliable
Bowen Lei · Ruqi Zhang · Dongkuan Xu · Bani Mallick
Poster
Wed 2:30 How I Learned to Stop Worrying and Love Retraining
Max Zimmer · Christoph Spiegel · Sebastian Pokutta
Poster
Critic Sequential Monte Carlo
Vasileios Lioutas · Jonathan Lavington · Justice Sefas · Matthew Niedoba · Yunpeng Liu · Berend Zwartsenberg · Setareh Dabiri · Frank Wood · Adam Scibior
Poster
Wed 7:30 ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
Xiaojun Guo · Yifei Wang · Tianqi Du · Yisen Wang
Poster
Wed 2:30 Confidence Estimation Using Unlabeled Data
Chen Li · Xiaoling Hu · Chao Chen
Poster
Scalable Subset Sampling with Neural Conditional Poisson Networks
Adeel Pervez · Phillip Lippe · Efstratios Gavves
Poster
Mon 7:30 ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
Ruslan Khalitov · Tong Yu · Lei Cheng · Zhirong Yang
Workshop
Thu 5:00 Invited Talk by Joseph Lim: Skill Reuse in Deep Reinforcement Learning
Joseph Lim