Bayesian Dark Knowledge

14 June 2015

Max Welling

Papers citing "Bayesian Dark Knowledge"

39 / 39 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 79 1 0 25 Nov 2024
Variational Prediction Alexander A. Alemi Ben Poole BDL 6 2 0 14 Jul 2023
Analyzing Compression Techniques for Computer Vision Maniratnam Mandal Imran Khan 11 1 0 14 May 2023
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification Yihe Lu Maoguo Gong Wei Zhao Kaiyuan Feng Hao Li VLM 21 0 0 09 Aug 2022
Functional Ensemble Distillation Coby Penso Idan Achituve Ethan Fetaya FedML 23 2 0 05 Jun 2022
Blueprint Separable Residual Network for Efficient Image Super-Resolution Zheyu Li Yingqi Liu Xiangyu Chen Haoming Cai Jinjin Gu Yu Qiao Chao Dong 19 131 0 12 May 2022
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data Corentin Sautier Gilles Puy Spyros Gidaris Alexandre Boulch Andrei Bursuc Renaud Marlet 3DPC 15 117 0 30 Mar 2022
STUN: Self-Teaching Uncertainty Estimation for Place Recognition Kaiwen Cai Chris Xiaoxuan Lu Xiaowei Huang 11 10 0 03 Mar 2022
Class Token and Knowledge Distillation for Multi-head Self-Attention Speaker Verification Systems Victoria Mingote A. Miguel A. O. Giménez EDUARDO LLEIDA SOLANO 25 10 0 06 Nov 2021
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 50 73 0 09 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 30 1,108 0 07 Jul 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 33 288 0 28 Jun 2021
Post-hoc loss-calibration for Bayesian neural networks Meet P. Vadera S. Ghosh Kenney Ng Benjamin M. Marlin UQCV BDL 25 7 0 13 Jun 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li D. Duvenaud BDL UQCV 13 46 0 12 Feb 2021
Dirichlet Pruning for Neural Network Compression Kamil Adamczewski Mijung Park 22 3 0 10 Nov 2020
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks Meet P. Vadera Adam D. Cobb B. Jalaeian Benjamin M. Marlin BDL UQCV 6 16 0 08 Jul 2020
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks Meet P. Vadera B. Jalaeian Benjamin M. Marlin BDL FedML UQCV 9 20 0 16 May 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 17 314 0 15 Feb 2020
Self-Distillation Amplifies Regularization in Hilbert Space H. Mobahi Mehrdad Farajtabar Peter L. Bartlett 19 226 0 13 Feb 2020
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification Meet P. Vadera Satya Narayan Shukla B. Jalaeian Benjamin M. Marlin AAML BDL 9 6 0 07 Feb 2020
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark J. Coates BDL GNN 19 12 0 08 Nov 2019
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi Hao Wang Yonglong Tian Hao He Nir Shavit UQCV 21 29 0 28 Sep 2019
Stochastic gradient Markov chain Monte Carlo Christopher Nemeth Paul Fearnhead BDL 14 135 0 16 Jul 2019
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation Erik Englesson Hossein Azizpour UQCV 6 7 0 12 Jun 2019
OpenEI: An Open Framework for Edge Intelligence Xingzhou Zhang Yifan Wang Sidi Lu Liangkai Liu Lanyu Xu Weisong Shi 21 101 0 05 Jun 2019
Ensemble Distribution Distillation A. Malinin Bruno Mlodozeniec Mark J. F. Gales UQCV 17 230 0 30 Apr 2019
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark J. Coates Deniz Üstebay GNN BDL 19 227 0 27 Nov 2018
A First Look at Deep Learning Apps on Smartphones Mengwei Xu Jiawei Liu Yuanqiang Liu F. Lin Yunxin Liu Xuanzhe Liu HAI 17 177 0 08 Nov 2018
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners Huiyuan Zhuo Xuelin Qian Yanwei Fu Heng Yang Xiangyang Xue 14 37 0 14 Jun 2018
Lightweight Probabilistic Deep Networks Jochen Gast Stefan Roth UQCV OOD BDL 22 180 0 29 May 2018
Learning Deep Representations with Probabilistic Knowledge Transfer Nikolaos Passalis Anastasios Tefas 29 406 0 28 Mar 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 36 684 0 15 Nov 2017
Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen Chunyuan Li Liquan Chen Wenlin Wang Yunchen Pu Lawrence Carin TPM 32 57 0 04 Sep 2017
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences Zhiyuan Shi Tae-Kyun Kim 14 80 0 28 Mar 2017
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling Zhe Gan Chunyuan Li Changyou Chen Yunchen Pu Qinliang Su Lawrence Carin BDL UQCV 34 41 0 23 Nov 2016
Towards Bayesian Deep Learning: A Framework and Some Existing Methods Hao Wang Dit-Yan Yeung BDL 18 223 0 24 Aug 2016
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks Chunyuan Li Changyou Chen David Carlson Lawrence Carin ODL BDL 16 320 0 23 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015
MCMC using Hamiltonian dynamics Radford M. Neal 170 3,260 0 09 Jun 2012