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One Initialization to Rule them All: Fine-tuning via Explained Variance
  Adaptation

One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation

9 October 2024
Fabian Paischer
Lukas Hauzenberger
Thomas Schmied
Benedikt Alkin
Marc Peter Deisenroth
Sepp Hochreiter
ArXivPDFHTML

Papers citing "One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation"

2 / 2 papers shown
Title
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Thomas Schmied
Thomas Adler
Vihang Patil
M. Beck
Korbinian Poppel
Johannes Brandstetter
G. Klambauer
Razvan Pascanu
Sepp Hochreiter
55
4
0
21 Feb 2025
GoRA: Gradient-driven Adaptive Low Rank Adaptation
GoRA: Gradient-driven Adaptive Low Rank Adaptation
Haonan He
Peng Ye
Yuchen Ren
Yuan Yuan
Lei Chen
AI4TS
AI4CE
62
0
0
13 Feb 2025
1