Variational Dropout and the Local Reparameterization Trick

8 June 2015

Papers citing "Variational Dropout and the Local Reparameterization Trick"

50 / 279 papers shown

Title
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity Yuki Hirayama Sinya Takamaeda-Yamazaki BDL 30 0 0 24 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 30 10 0 21 Nov 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 27 2 0 15 Nov 2022
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection Pratinav Seth Adil Mehmood Khan Ananya Gupta Saurabh Mishra Akshat Bhandhari 26 0 0 06 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting Junlong Tong Liping Xie Wankou Yang Kanjian Zhang AI4TS 24 5 0 31 Oct 2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun Mirian Hipolito Garcia C. Jermaine Dimitrios Dimitriadis Anastasios Kyrillidis 64 20 0 28 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 4 0 21 Oct 2022
Variational Model Perturbation for Source-Free Domain Adaptation Mengmeng Jing Xiantong Zhen Jingjing Li Cees G. M. Snoek 37 25 0 19 Oct 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 23 5 0 26 Sep 2022
Tighter Variational Bounds are Not Necessarily Better. A Research Report on Implementation, Ablation Study, and Extensions Amine MĆharrak Vít Ruzicka Sangyun Shin M. Vankadari DRL 6 0 0 23 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 38 10 0 08 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard Turner L. Yao BDL 78 24 0 01 Sep 2022
Bayesian Neural Network Language Modeling for Speech Recognition Boyang Xue Shoukang Hu Junhao Xu Mengzhe Geng Xunying Liu Helen M. Meng UQCV BDL 44 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 32 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 26 2 0 18 Aug 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 26 1 0 17 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip Torr P. Dokania UQCV 27 30 0 13 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei Wang NoLa 30 44 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 Torr P. Dokania UQCV 33 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 29 0 0 27 Jun 2022
Information Geometry of Dropout Training Masanari Kimura H. Hino 24 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 49 109 0 15 Jun 2022
Functional Ensemble Distillation Coby Penso Idan Achituve Ethan Fetaya FedML 33 2 0 05 Jun 2022
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers R. Liu Young Jin Kim Alexandre Muzio Hany Awadalla MoE 50 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 47 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 16 7 0 19 May 2022
Fast Conditional Network Compression Using Bayesian HyperNetworks Phuoc Nguyen T. Tran Ky Le Sunil R. Gupta Santu Rana Dang Nguyen Trong Nguyen S. Ryan Svetha Venkatesh BDL 30 6 0 13 May 2022
AODisaggregation: toward global aerosol vertical profiles S. Bouabid D. Watson‐Parris Sofija Stefanović A. Nenes Dino Sejdinovic 29 0 0 06 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 24 3 0 02 May 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 32 20 0 11 Apr 2022
Probabilistic Representations for Video Contrastive Learning Jungin Park Jiyoung Lee Ig-Jae Kim Kwanghoon Sohn SSL 29 43 0 08 Apr 2022
A Joint Learning Approach for Semi-supervised Neural Topic Modeling Jeffrey C. Chiu Rajat Mittal Neehal Tumma Abhishek Sharma Finale Doshi-Velez BDL DRL 23 4 0 07 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yong Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations S. Razavi E. Gamazon 13 5 0 15 Mar 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 35 1 0 05 Mar 2022
Theoretical Error Analysis of Entropy Approximation for Gaussian Mixture Takashi Furuya Hiroyuki Kusumoto K. Taniguchi Naoya Kanno Kazuma Suetake 19 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 16 1 0 21 Feb 2022
Accurate Prediction and Uncertainty Estimation using Decoupled Prediction Interval Networks Kinjal Patel Steven Waslander UQCV 23 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 33 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 Kaipeng Zhang Russ Tedrake 32 95 0 02 Feb 2022
Signing the Supermask: Keep, Hide, Invert Nils Koster O. Grothe Achim Rettinger 31 10 0 31 Jan 2022
Improving robustness and calibration in ensembles with diversity regularization H. A. Mehrtens Camila González Anirban Mukhopadhyay UQCV 19 7 0 26 Jan 2022
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation J. Rock Wolfgang Roth Máté Tóth Paul Meissner Franz Pernkopf 30 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 30 1 0 13 Jan 2022