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Bayesian Attention Modules

Bayesian Attention Modules

20 October 2020
Xinjie Fan
Shujian Zhang
Bo Chen
Mingyuan Zhou
ArXivPDFHTML

Papers citing "Bayesian Attention Modules"

21 / 21 papers shown
Title
TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
Marius Baden
Ahmed Abouelazm
Christian Hubschneider
Yin Wu
Daniel Slieter
J. M. Zöllner
31
0
0
10 May 2025
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
92
0
0
25 Apr 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
113
6
0
28 Jan 2025
An Attention-Based Deep Learning Architecture for Real-Time Monocular
  Visual Odometry: Applications to GPS-free Drone Navigation
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation
Olivier Brochu Dufour
Abolfazl Mohebbi
S. Achiche
35
0
0
27 Apr 2024
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Xinyang Liu
Dongsheng Wang
Bowei Fang
Miaoge Li
Zhibin Duan
Yishi Xu
Bo Chen
Mingyuan Zhou
VLM
VPVLM
26
5
0
16 Mar 2023
Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition
Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition
Zihan Zhao
Yu Wang
Yanfeng Wang
18
18
0
20 Feb 2023
BayesSpeech: A Bayesian Transformer Network for Automatic Speech
  Recognition
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition
Will Rieger
BDL
UQCV
19
0
0
16 Jan 2023
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader
  Models
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
Shujian Zhang
Chengyue Gong
Xingchao Liu
RALM
37
6
0
02 Nov 2022
Knowledge-Aware Bayesian Deep Topic Model
Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang
Yishi Xu
Miaoge Li
Zhibin Duan
Chaojie Wang
Bo Chen
Mingyuan Zhou
BDL
28
15
0
20 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard E. Turner
L. Yao
BDL
73
24
0
01 Sep 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
27
26
0
10 May 2022
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
Derya Soydaner
3DV
44
149
0
27 Apr 2022
Neural Processes with Stochastic Attention: Paying more attention to the
  context dataset
Neural Processes with Stochastic Attention: Paying more attention to the context dataset
Mingyu Kim
Kyeongryeol Go
Se-Young Yun
27
20
0
11 Apr 2022
Pathologies in priors and inference for Bayesian transformers
Pathologies in priors and inference for Bayesian transformers
Tristan Cinquin
Alexander Immer
Max Horn
Vincent Fortuin
UQCV
BDL
MedIm
34
9
0
08 Oct 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Zhibin Duan
Dongsheng Wang
Bo Chen
Chaojie Wang
Wenchao Chen
Yewen Li
J. Ren
Mingyuan Zhou
BDL
32
38
0
30 Jun 2021
Adversarially Adaptive Normalization for Single Domain Generalization
Adversarially Adaptive Normalization for Single Domain Generalization
Xinjie Fan
Qifei Wang
Junjie Ke
Feng Yang
Boqing Gong
Mingyuan Zhou
27
129
0
01 Jun 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module
Contextual Dropout: An Efficient Sample-Dependent Dropout Module
Xinjie Fan
Shujian Zhang
Korawat Tanwisuth
Xiaoning Qian
Mingyuan Zhou
OOD
BDL
UQCV
27
27
0
06 Mar 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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
285
9,136
0
06 Jun 2015
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