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352 Results
Poster
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Thu 1:45 |
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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Thu 7:30 |
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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Fri 7:30 |
First-order ANIL provably learns representations despite overparametrisation Oğuz Kaan Yüksel · Etienne Boursier · Nicolas Flammarion |
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Poster
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Tue 7:30 |
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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Tue 1:45 |
A Probabilistic Framework for Modular Continual Learning Lazar Valkov · Akash Srivastava · Swarat Chaudhuri · Charles Sutton |
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Poster
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Wed 1:45 |
Test-time Adaptation against Multi-modal Reliability Bias Mouxing Yang · Yunfan Li · Changqing Zhang · Peng Hu · Xi Peng |
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Poster
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Fri 7:30 |
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model Karsten Roth · Lukas Thede · A. Sophia Koepke · Oriol Vinyals · Olivier Henaff · Zeynep Akata |
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Poster
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Thu 7:30 |
Meta-Learning Priors Using Unrolled Proximal Networks Yilang Zhang · Georgios B Giannakis |
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Poster
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Fri 1:45 |
Few-Shot Detection of Machine-Generated Text using Style Representations Rafael Rivera Soto · Kailin Koch · Aleem Khan · Barry Chen · Marcus Bishop · Nicholas Andrews |
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Poster
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Fri 1:45 |
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline Donggyu Lee · Sangwon Jung · Taesup Moon |
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Poster
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Thu 1:45 |
Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis · Łukasz Dudziak · Da Li · Timothy Hospedales |
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Poster
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Wed 1:45 |
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott · Hossein Zakerinia · Christoph Lampert |