v1v2 (latest)

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

14 May 2020

Michael W. Dusenberry

Balaji Lakshminarayanan

Papers citing "Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors"

50 / 168 papers shown

Title
Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models Ngoc-Quan Pham Tuan Truong Quyen Tran T. H. Nguyen Dinh Q. Phung T. Le 34 1 0 08 Jun 2025
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization C. Tan Yubo Zhou Haishan Ye Guang Dai Junmin Liu Zengjie Song Jiangshe Zhang Zixiang Zhao Yunda Hao Yong Xu AAML 32 0 0 29 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Dominik Fuchsgruber Tom Wollschlager Johannes Bordne Stephan Günnemann 52 0 0 28 May 2025
Asymmetric Duos: Sidekicks Improve Uncertainty Tim G. Zhou Evan Shelhamer Geoff Pleiss UQCV 51 0 0 24 May 2025
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior Tsai Hor Chan Dora Yan Zhang Guosheng Yin Lequan Yu UQCV BDL 22 0 0 23 May 2025
Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception Luke Chen Junyao Wang Trier Mortlock Pramod P. Khargonekar M. A. Al Faruque UQCV 153 0 0 25 Mar 2025
On Local Posterior Structure in Deep Ensembles Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 149 0 0 17 Mar 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee Seanie Lee Juho Lee BDL 67 0 0 28 Feb 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 229 13 0 28 Jan 2025
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 73 0 0 18 Oct 2024
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics Daniel Paulin Peter Whalley Neil K. Chada Benedict Leimkuhler BDL 113 4 0 14 Oct 2024
Boosting Deep Ensembles with Learning Rate Tuning Hongpeng Jin Yanzhao Wu 66 0 0 10 Oct 2024
Improving Generalization with Flat Hilbert Bayesian Inference Tuan Truong Quyen Tran Quan Pham-Ngoc Nhat Ho Dinh Q. Phung T. Le 71 1 0 05 Oct 2024
Revisiting Essential and Nonessential Settings of Evidential Deep Learning Mengyuan Chen Junyu Gao Changsheng Xu EDL 118 1 0 01 Oct 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 124 6 0 07 Sep 2024
Function-Space MCMC for Bayesian Wide Neural Networks Lucia Pezzetti Stefano Favaro Stefano Peluchetti BDL 455 0 0 26 Aug 2024
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks Yoav Gelberg Tycho F. A. van der Ouderaa Mark van der Wilk Y. Gal AAML 110 4 0 10 Aug 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 76 0 0 24 Jun 2024
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation M. Zenk David Zimmerer Fabian Isensee Jeremias Traub T. Norajitra Paul F. Jäger Klaus H. Maier-Hein 93 4 0 05 Jun 2024
Structured Partial Stochasticity in Bayesian Neural Networks Tommy Rochussen 50 0 0 27 May 2024
Transitional Uncertainty with Layered Intermediate Predictions Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 66 2 0 25 May 2024
Selective Classification Under Distribution Shifts Hengyue Liang Le Peng Ju Sun UQCV 101 2 0 08 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn Pablo Olmos 99 1 0 02 May 2024
Fast Ensembling with Diffusion Schrödinger Bridge Hyunsu Kim Jongmin Yoon Juho Lee FedML UQCV 75 1 0 24 Apr 2024
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 143 34 0 17 Apr 2024
On Uncertainty Quantification for Near-Bayes Optimal Algorithms Ziyu Wang Chris Holmes UQCV 105 3 0 28 Mar 2024
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts H. Bui Anqi Liu OOD BDL UQCV 190 4 0 07 Mar 2024
Bayesian Neural Network For Personalized Federated Learning Parameter Selection Mengen Luo E. Kuruoglu FedML 86 0 0 25 Feb 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune Mengen Luo Chi Xu E. Kuruoglu FedML 92 1 0 25 Feb 2024
Training Bayesian Neural Networks with Sparse Subspace Variational Inference Junbo Li Zichen Miao Qiang Qiu Ruqi Zhang BDL UQCV 52 9 0 16 Feb 2024
SAE: Single Architecture Ensemble Neural Networks Martin Ferianc Hongxiang Fan Miguel R. D. Rodrigues UQCV 50 0 0 09 Feb 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models Gianni Franchi Olivier Laurent Maxence Leguéry Andrei Bursuc Andrea Pilzer Angela Yao UQCV BDL 60 6 0 23 Dec 2023
Transferable Candidate Proposal with Bounded Uncertainty Kyeongryeol Go Kye-Hyeon Kim 55 0 0 07 Dec 2023
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness Anh-Quan Cao Angela Dai Raoul de Charette UQCV 71 22 0 04 Dec 2023
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception Lei Fan Mingfu Liang Yunxuan Li Gang Hua Ying Wu 82 6 0 23 Nov 2023
Favour: FAst Variance Operator for Uncertainty Rating Thomas Dybdahl Ahle Sahar Karimi Peter Tak Peter Tang BDL 50 0 0 21 Nov 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 79 4 0 09 Nov 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization Hongzheng Yang Cheng Chen Yueyao Chen Markus Scheppach Hon-Chi Yip Qi Dou EDL UQCV 70 8 0 05 Nov 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations Tsai Hor Chan Kin Wai Lau Jiajun Shen Guosheng Yin Lequan Yu UQCV OOD 56 2 0 25 Oct 2023
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations Carlos Rombaldo Junior Ingolf Becker Zongyu Guo Shane Johnson 76 12 0 29 Sep 2023
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 105 5 0 28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 103 20 0 28 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training Clement Laroudie Andrei Bursuc Mai Lan Ha Gianni Franchi VLM 71 5 0 19 Sep 2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture S. Qutub Neslihan Kose Rafael Rosales Michael Paulitsch Korbinian Hagn Florian Geissler Yang Peng Gereon Hinz Alois C. Knoll 68 3 0 14 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan Bo Liu Haoxiang Li Ying Wu Gang Hua 71 5 0 14 Sep 2023
Amortised Inference in Bayesian Neural Networks Tommy Rochussen UQCV BDL 71 0 0 06 Sep 2023
Bayesian Low-rank Adaptation for Large Language Models Adam X. Yang Maxime Robeyns Xi Wang Laurence Aitchison AI4CE BDL 163 55 0 24 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Y. Elhabian UQCV 67 6 0 15 Aug 2023
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression Anton Baumann Thomas Roßberg Michael Schmitt UQCV 53 2 0 14 Aug 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 70 2 0 21 Jul 2023