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Poster
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Wed 16:30
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LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang · Linxi Yu · Jian Li
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Workshop
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Overcoming Limitations of Steering Vectors with Low-Rank Representation Steering
Dmitrii Krasheninnikov · David Krueger
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Workshop
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Accelerating the Low-Rank Decomposed Models
Habib Hajimolahoseini · Walid Ahmed · Shuangyue Wen · Yang Liu
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Workshop
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Flexora: Flexible Low-Rank Adaptation for Large Language Models
Chenxing Wei · Yao Shu · Ying He · Fei Yu
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Workshop
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Sun 11:49
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Steffen Schotthöfer & M. Paul Laiu. Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
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Poster
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Thu 16:30
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Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
Shen Yuan · Haotian Liu · Hongteng Xu
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Workshop
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Personalized Federated Learning via Low-Rank Matrix Factorization
Ali Dadras · Sebastian Stich · Alp Yurtsever
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Workshop
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Towards Federated Low-Rank Adaptation with Rank Heterogeneity
Yuji Byun · Jaeho Lee
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Workshop
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Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape
Tao Li · Zhengbao He · Yujun Li · Yasheng Wang · Lifeng Shang · Xiaolin Huang
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Expo Demonstration
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Tue 15:00
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Low-Rank Adaptation (LoRA) for Large Vision Model on a Mobile Device
Ron Tindall
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Poster
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Thu 16:30
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On Socially Fair Low-Rank Approximation and Column Subset Selection
Zhao Song · Ali Vakilian · David Woodruff · Samson Zhou
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Poster
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Thu 11:00
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Weight decay induces low-rank attention layers
Seijin Kobayashi · Yassir Akram · Johannes von Oswald
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