Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

352 Results

<<   <   Page 2 of 30   >   >>
Poster
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
Poster
Thu 7:30 Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Yavuz Faruk Bakman · Duygu Nur Yaldiz · Yahya Ezzeldin · Salman Avestimehr
Poster
Fri 7:30 First-order ANIL provably learns representations despite overparametrisation
Oğuz Kaan Yüksel · Etienne Boursier · Nicolas Flammarion
Poster
Tue 7:30 OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang · Chun-Fu Chen · Hsiang Hsu
Poster
Tue 1:45 A Probabilistic Framework for Modular Continual Learning
Lazar Valkov · Akash Srivastava · Swarat Chaudhuri · Charles Sutton
Poster
Wed 1:45 Test-time Adaptation against Multi-modal Reliability Bias
Mouxing Yang · Yunfan Li · Changqing Zhang · Peng Hu · Xi Peng
Poster
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
Poster
Thu 7:30 Meta-Learning Priors Using Unrolled Proximal Networks
Yilang Zhang · Georgios B Giannakis
Poster
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
Poster
Fri 1:45 Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
Donggyu Lee · Sangwon Jung · Taesup Moon
Poster
Thu 1:45 Neural Fine-Tuning Search for Few-Shot Learning
Panagiotis Eustratiadis · Łukasz Dudziak · Da Li · Timothy Hospedales
Poster
Wed 1:45 PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott · Hossein Zakerinia · Christoph Lampert