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Variational Low-Rank Adaptation Using IVON
v1v2 (latest)

Variational Low-Rank Adaptation Using IVON

7 November 2024
Bai Cong
Nico Daheim
Yuesong Shen
Zorah Lähner
Rio Yokota
Mohammad Emtiyaz Khan
Thomas Möllenhoff
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Variational Low-Rank Adaptation Using IVON"

6 / 6 papers shown
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
Ilia Azizi
Juraj Bodik
Jakob Heiss
Bin Yu
UQCVUD
474
2
0
10 Jul 2025
Variational Learning Finds Flatter Solutions at the Edge of Stability
Variational Learning Finds Flatter Solutions at the Edge of Stability
Avrajit Ghosh
Bai Cong
Rio Yokota
S. Ravishankar
Rongrong Wang
Molei Tao
Mohammad Emtiyaz Khan
Thomas Möllenhoff
MLT
363
1
0
15 Jun 2025
Variational Visual Question Answering for Uncertainty-Aware Selective Prediction
Variational Visual Question Answering for Uncertainty-Aware Selective Prediction
Tobias Jan Wieczorek
Nathalie Daun
Mohammad Emtiyaz Khan
Marcus Rohrbach
OOD
618
0
0
14 May 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk
Uncertainty-Aware Decoding with Minimum Bayes RiskInternational Conference on Learning Representations (ICLR), 2025
Nico Daheim
Clara Meister
Thomas Möllenhoff
Iryna Gurevych
418
9
0
07 Mar 2025
Toward Lightweight and Fast Decoders for Diffusion Models in Image and Video Generation
Toward Lightweight and Fast Decoders for Diffusion Models in Image and Video Generation
Alexey Buzovkin
Evgeny Shilov
VGen
345
0
0
06 Mar 2025
A Bayesian Interpretation of Adaptive Low-Rank Adaptation
A Bayesian Interpretation of Adaptive Low-Rank AdaptationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Haolin Chen
Philip N. Garner
418
3
0
16 Sep 2024
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