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Workshop
UnoLoRA: Single Low-Rank Adaptation for Efficient Multitask Fine-tuning
Akash Kamalesh · Anirudh Lakhotia · Nischal S · Prerana Sanjay Kulkarni · Gowri Srinivasa
Poster
Wed 11:00 Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
Firas Trabelsi · David Vilar · Mara Finkelstein · Markus Freitag
Workshop
PepDoRA: A Unified Peptide Language Model via Weight-Decomposed Low-Rank Adaptation
Leyao Wang · Rishab Pulugurta · Pranay Vure · Aastha Pal · Yinuo Zhang · Pranam Chatterjee
Workshop
Variational Low-Rank Adaptation Using IVON
Bai Cong · Nico Daheim · Yuesong Shen · Daniel Cremers · Rio Yokota · Mohammad Emtiyaz Khan · Thomas Möllenhoff
Poster
Wed 16:30 SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
Yixia Li · Boya Xiong · Guanhua Chen · Yun Chen
Poster
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
Abhinav Jain · Swarat Chaudhuri · Thomas Reps · Christopher Jermaine
Poster
Thu 11:00 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang · Haizhou Shi · Ligong Han · Dimitris Metaxas · Hao Wang
Poster
Fri 16:30 Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
Peter Halmos · Xinhao Liu · Julian Gold · Benjamin Raphael
Poster
Wed 11:00 LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
Elias Jääsaari · Ville Hyvönen · Teemu Roos
Poster
Thu 11:00 Entrywise error bounds for low-rank approximations of kernel matrices
Alexander Modell
Poster
Wed 11:00 Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models
Hao Yan · Keith Levin
Poster
Fri 16:30 Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?
Peter Súkeník · Christoph Lampert · Marco Mondelli