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LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention
  Networks

LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks

23 May 2024
Michelle Halbheer
Dominik J. Mühlematter
Alexander Becker
Dominik Narnhofer
Helge Aasen
Konrad Schindler
Mehmet Özgür Türkoglu
    UQCV
ArXivPDFHTML

Papers citing "LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks"

5 / 5 papers shown
Title
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
Jialun Zhong
Wei Shen
Yanzeng Li
Songyang Gao
Hua Lu
Yicheng Chen
Yang Zhang
Wei Zhou
Jinjie Gu
Lei Zou
LRM
38
2
0
12 Apr 2025
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Simian Luo
Yiqin Tan
Suraj Patil
Daniel Gu
Patrick von Platen
Apolinário Passos
Longbo Huang
Jian Li
Hang Zhao
MoMe
108
144
0
09 Nov 2023
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear
  Modulation
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Mehmet Özgür Türkoglu
Alexander Becker
H. Gündüz
Mina Rezaei
Bernd Bischl
Rodrigo Caye Daudt
Stefano Dáronco
Jan Dirk Wegner
Konrad Schindler
FedML
UQCV
30
25
0
31 May 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
9,134
0
06 Jun 2015
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