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89 Results
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Workshop
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Adversarial perturbation based latent reconstruction for domain-agnostic self-supervised learning Kuilin Chen · Sijie Tian · Chi-Guhn Lee |
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Workshop
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Self-supervised Representation Learning from Random Data Projectors Yi Sui · Tongzi Wu · Jesse Cresswell · Ga Wu · George Stein · Xiao Shi Huang · Xiaochen Zhang · Maksims Volkovs |
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Workshop
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Fri 9:30 |
Self-supervised Representation Learning from Random Data Projectors Yi Sui · Tongzi Wu · Jesse Cresswell · Ga Wu · George Stein · Xiao Shi Huang · Xiaochen Zhang · Maksims Volkovs |
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Poster
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Tue 8:45 |
Scalarization for Multi-Task and Multi-Domain Learning at Scale Amelie Royer · Tijmen Blankevoort · Babak Ehteshami Bejnordi |
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Poster
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Tue 8:45 |
Domain Agnostic Fourier Neural Operators Ning Liu · Siavash Jafarzadeh · Yue Yu |
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Poster
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Wed 15:00 |
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder Huiwon Jang · Jihoon Tack · Daewon Choi · Jongheon Jeong · Jinwoo Shin |
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Poster
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Thu 15:00 |
Unpaired Multi-Domain Causal Representation Learning Nils Sturma · Chandler Squires · Mathias Drton · Caroline Uhler |
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Workshop
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Leveraging Behavioral Cloning for Representation Alignment in Cross-Domain Policy Transfer Hayato Watahiki · Ryo Iwase · Ryosuke Unno · Yoshimasa Tsuruoka |
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Poster
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Wed 8:45 |
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm Qi CHEN · Changjian Shui · Ligong Han · Mario Marchand |
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Poster
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Tue 15:15 |
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation Zhongqi Yue · QIANRU SUN · Hanwang Zhang |
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Poster
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Tue 8:45 |
Learning Rate Free Sampling in Constrained Domains Louis Sharrock · Lester Mackey · Christopher Nemeth |
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Poster
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Wed 8:45 |
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi · Hao Wang |