Variational Dropout and the Local Reparameterization Trick

8 June 2015

Papers citing "Variational Dropout and the Local Reparameterization Trick"

50 / 227 papers shown

Title
Bayesian Neural Network Language Modeling for Speech Recognition Boyang Xue Shoukang Hu Junhao Xu Mengzhe Geng Xunying Liu Helen M. Meng UQCV BDL 31 14 0 28 Aug 2022
Efficient Adaptive Activation Rounding for Post-Training Quantization Zhengyi Li Cong Guo Zhanda Zhu Yangjie Zhou Yuxian Qiu Xiaotian Gao Jingwen Leng Minyi Guo MQ 27 3 0 25 Aug 2022
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis Gangming Zhao Quanlong Feng Chaoqi Chen Zhen Zhou Yizhou Yu 34 31 0 19 Aug 2022
DIET: Conditional independence testing with marginal dependence measures of residual information Mukund Sudarshan A. Puli Wesley Tansey Rajesh Ranganath 16 2 0 18 Aug 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 18 1 0 17 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 21 30 0 13 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei-Yue Wang NoLa 23 43 0 12 Jul 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 27 34 0 29 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 21 0 0 27 Jun 2022
Information Geometry of Dropout Training Masanari Kimura H. Hino 9 2 0 22 Jun 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 21 4 0 22 Jun 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 40 109 0 15 Jun 2022
Functional Ensemble Distillation Coby Penso Idan Achituve Ethan Fetaya FedML 25 2 0 05 Jun 2022
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers R. Liu Young Jin Kim Alexandre Muzio Hany Awadalla MoE 42 22 0 28 May 2022
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks Sai Munikoti D. Agarwal Laya Das Balasubramaniam Natarajan BDL UD 31 13 0 20 May 2022
Simple Regularisation for Uncertainty-Aware Knowledge Distillation Martin Ferianc Miguel R. D. Rodrigues UQCV 37 0 0 19 May 2022
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification M. Joshaghani Amirabbas Davari F. Hatamian Andreas K. Maier Christian Riess UQCV BDL 8 7 0 19 May 2022
AODisaggregation: toward global aerosol vertical profiles S. Bouabid D. Watson‐Parris Sofija Stefanović A. Nenes Dino Sejdinovic 24 0 0 06 May 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 21 20 0 11 Apr 2022
Probabilistic Representations for Video Contrastive Learning Jungin Park Jiyoung Lee Ig-Jae Kim K. Sohn SSL 26 43 0 08 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Y. Li Weizhi Ma C. L. Philip Chen M. Zhang Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks C. F. G. Santos Mateus Roder L. A. Passos João Paulo Papa 27 1 0 05 Mar 2022
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixture Takashi Furuya Hiroyuki Kusumoto K. Taniguchi Naoya Kanno Kazuma Suetake 11 1 0 26 Feb 2022
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 52 56 0 23 Feb 2022
Non-Volatile Memory Accelerated Posterior Estimation A. Wood Moshik Hershcovitch Daniel Waddington Sarel Cohen Peter Chin 13 1 0 21 Feb 2022
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks Kinjal Patel Steven Waslander UQCV 15 3 0 19 Feb 2022
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information Mark Collier Rodolphe Jenatton Efi Kokiopoulou Jesse Berent 25 13 0 18 Feb 2022
Variational Neural Temporal Point Process Deokjun Eom Sehyun Lee Jaesik Choi BDL AI4TS 24 2 0 17 Feb 2022
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning Wei Huang Chunrui Liu Yilan Chen Tianyu Liu R. Xu BDL MLT 19 2 0 04 Feb 2022
Do Differentiable Simulators Give Better Policy Gradients? H. Suh Max Simchowitz K. Zhang Russ Tedrake 25 94 0 02 Feb 2022
Signing the Supermask: Keep, Hide, Invert Nils Koster O. Grothe Achim Rettinger 25 10 0 31 Jan 2022
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation J. Rock Wolfgang Roth Máté Tóth Paul Meissner Franz Pernkopf 14 43 0 25 Jan 2022
Recursive Least Squares for Training and Pruning Convolutional Neural Networks Tianzong Yu Chunyuan Zhang Yuan Wang Meng-tao Ma Qingwei Song 22 1 0 13 Jan 2022
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention Jiahuan Pei Cheng-Yu Wang Gyuri Szarvas 19 22 0 27 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 36 16 0 05 Dec 2021
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds Chao Qi Jianqin Yin UQCV 3DPC BDL 22 2 0 05 Dec 2021
Why Calibration Error is Wrong Given Model Uncertainty: Using Posterior Predictive Checks with Deep Learning Achintya Gopal UQCV 28 1 0 02 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 27 2 0 02 Dec 2021
One model Packs Thousands of Items with Recurrent Conditional Query Learning Dongda Li Zhaoquan Gu Yuexuan Wang Changwei Ren F. Lau 27 17 0 12 Nov 2021
Multi-Task Neural Processes Jiayi Shen Xiantong Zhen M. Worring Ling Shao BDL 16 8 0 10 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 19 58 0 03 Nov 2021
Pathologies in priors and inference for Bayesian transformers Tristan Cinquin Alexander Immer Max Horn Vincent Fortuin UQCV BDL MedIm 31 9 0 08 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 9 1 0 07 Oct 2021
TyXe: Pyro-based Bayesian neural nets for Pytorch H. Ritter Theofanis Karaletsos OOD MU BDL 19 6 0 01 Oct 2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation Joao Lourencco Silva Arlindo L. Oliveira UQCV 16 19 0 26 Sep 2021
A framework for benchmarking uncertainty in deep regression F. Schmähling Jörg Martin Clemens Elster UQCV 32 8 0 10 Sep 2021
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 22 68 0 05 Sep 2021
Layer-wise Model Pruning based on Mutual Information Chun Fan Jiwei Li Xiang Ao Fei Wu Yuxian Meng Xiaofei Sun 38 19 0 28 Aug 2021
Explaining Bayesian Neural Networks Kirill Bykov Marina M.-C. Höhne Adelaida Creosteanu Klaus-Robert Muller Frederick Klauschen Shinichi Nakajima Marius Kloft BDL AAML 28 25 0 23 Aug 2021