Bayesian Attention Modules

20 October 2020

Xinjie Fan

Shujian Zhang

Bo Chen

Mingyuan Zhou

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Papers citing "Bayesian Attention Modules"

23 / 23 papers shown

Title
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 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 Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 116 6 0 28 Jan 2025
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi Yibin Wang Ligong Han H. M. Zhang Hao Wang UQCV 83 0 0 07 Dec 2024
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 Xinyang Liu Dongsheng Wang Bowei Fang Miaoge Li Zhibin Duan Yishi Xu Bo Chen Mingyuan Zhou VLM VPVLM 29 5 0 16 Mar 2023
Toward Robust Uncertainty Estimation with Random Activation Functions Y. Stoyanova Soroush Ghandi M. Tavakol UQCV 26 2 0 28 Feb 2023
Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition Zihan Zhao Yu Wang Yanfeng Wang 20 18 0 20 Feb 2023
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 Shujian Zhang Chengyue Gong Xingchao Liu RALM 43 6 0 02 Nov 2022
Knowledge-Aware Bayesian Deep Topic Model Dongsheng Wang Yishi Xu Miaoge Li Zhibin Duan Chaojie Wang Bo Chen Mingyuan Zhou BDL 33 15 0 20 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 73 24 0 01 Sep 2022
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 Derya Soydaner 3DV 44 149 0 27 Apr 2022
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 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 Zhibin Duan Dongsheng Wang Bo Chen Chaojie Wang Wenchao Chen Yewen Li J. Ren Mingyuan Zhou BDL 34 38 0 30 Jun 2021
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 Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 30 27 0 06 Mar 2021
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 6,959 0 20 Apr 2018
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 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 Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015