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Pathologies in priors and inference for Bayesian transformers

Pathologies in priors and inference for Bayesian transformers

8 October 2021
Tristan Cinquin
Alexander Immer
Max Horn
Vincent Fortuin
    UQCV
    BDL
    MedIm
ArXivPDFHTML

Papers citing "Pathologies in priors and inference for Bayesian transformers"

14 / 14 papers shown
Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
85
0
0
25 Apr 2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Revisiting Kernel Attention with Correlated Gaussian Process Representation
Long Minh Bui
Tho Tran Huu
Duy-Tung Dinh
T. Nguyen
Trong Nghia Hoang
29
2
0
27 Feb 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
H. Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
102
6
0
28 Jan 2025
Regularized KL-Divergence for Well-Defined Function-Space Variational
  Inference in Bayesian neural networks
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks
Tristan Cinquin
Robert Bamler
UQCV
BDL
28
2
0
06 Jun 2024
Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of
  Large Language Models
Gaussian Stochastic Weight Averaging for Bayesian Low-Rank Adaptation of Large Language Models
Emre Onal
Klemens Flöge
Emma Caldwell
A. Sheverdin
Vincent Fortuin
UQCV
BDL
32
9
0
06 May 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Oleksandr Balabanov
H. Linander
UQCV
13
13
0
19 Feb 2024
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian
  Processes
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
Yingyi Chen
Qinghua Tao
F. Tonin
Johan A. K. Suykens
22
1
0
02 Feb 2024
Bayesian Low-rank Adaptation for Large Language Models
Bayesian Low-rank Adaptation for Large Language Models
Adam X. Yang
Maxime Robeyns
Xi Wang
Laurence Aitchison
AI4CE
BDL
16
44
0
24 Aug 2023
Calibrating Transformers via Sparse Gaussian Processes
Calibrating Transformers via Sparse Gaussian Processes
Wenlong Chen
Yingzhen Li
UQCV
12
12
0
04 Mar 2023
VideoGPT: Video Generation using VQ-VAE and Transformers
VideoGPT: Video Generation using VQ-VAE and Transformers
Wilson Yan
Yunzhi Zhang
Pieter Abbeel
A. Srinivas
ViT
VGen
245
484
0
20 Apr 2021
Bayesian Transformer Language Models for Speech Recognition
Bayesian Transformer Language Models for Speech Recognition
Boyang Xue
Jianwei Yu
Junhao Xu
Shansong Liu
Shoukang Hu
Zi Ye
Mengzhe Geng
Xunying Liu
H. Meng
BDL
66
26
0
09 Feb 2021
Bayesian Attention Modules
Bayesian Attention Modules
Xinjie Fan
Shujian Zhang
Bo Chen
Mingyuan Zhou
107
59
0
20 Oct 2020
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
5,652
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
247
9,109
0
06 Jun 2015
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