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Workshop
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Immediate generalisation in humans but a generalisation lag in deep neural networks—evidence for representational divergence?
Lukas Huber · Fred Mast · Felix Wichmann
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Poster
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Thu 7:30
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Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Ruipeng Zhang · Ziqing Fan · Jiangchao Yao · Ya Zhang · Yanfeng Wang
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Poster
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Tue 1:45
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Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
Devavrat Tomar · Guillaume Vray · Jean-Philippe Thiran · Behzad Bozorgtabar
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Poster
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Fri 7:30
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AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
Prithvijit Chattopadhyay · Bharat Goyal · Boglarka Ecsedi · Viraj Prabhu · Judy Hoffman
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Poster
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Fri 1:45
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Gradual Domain Adaptation via Gradient Flow
Zhan ZHUANG · Yu Zhang · Ying Wei
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Poster
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Thu 1:45
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The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
Daniel Goldfarb · Itay Evron · Nir Weinberger · Daniel Soudry · Paul Hand
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Poster
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Thu 7:30
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Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Yavuz Faruk Bakman · Duygu Nur Yaldiz · Yahya Ezzeldin · Salman Avestimehr
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Poster
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Tue 1:45
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A Probabilistic Framework for Modular Continual Learning
Lazar Valkov · Akash Srivastava · Swarat Chaudhuri · Charles Sutton
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Poster
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Tue 7:30
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OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang · Chun-Fu Chen · Hsiang Hsu
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Poster
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Thu 1:45
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Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
Sebastian Pineda Arango · Fabio Ferreira · Arlind Kadra · Frank Hutter · Josif Grabocka
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Poster
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Fri 7:30
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First-order ANIL provably learns representations despite overparametrisation
Oğuz Kaan Yüksel · Etienne Boursier · Nicolas Flammarion
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Poster
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Wed 1:45
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Test-time Adaptation against Multi-modal Reliability Bias
Mouxing Yang · Yunfan Li · Changqing Zhang · Peng Hu · Xi Peng
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