Variational Dropout and the Local Reparameterization Trick

8 June 2015

Papers citing "Variational Dropout and the Local Reparameterization Trick"

50 / 219 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung B. Peters Michael Solomon 29 0 0 10 May 2025
Probabilistic Uncertain Reward Model Wangtao Sun Xiang Cheng Xing Yu Haotian Xu Zhao Yang Shizhu He Jun Zhao Kang Liu 58 0 0 28 Mar 2025
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning Yupei Li M. Milling Björn Schuller AI4CE 107 0 0 27 Mar 2025
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation Dong Zhao Jinlong Li Shuang Wang Mengyao Wu Qi Zang N. Sebe Zhun Zhong 138 0 0 23 Mar 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 66 0 0 24 Feb 2025
Shuttle Between the Instructions and the Parameters of Large Language Models Wangtao Sun Haotian Xu Huanxuan Liao Xuanqing Yu Zhongtao Jiang Shizhu He Jun Zhao Kang Liu 57 0 0 04 Feb 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 79 0 0 17 Jan 2025
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 89 1 0 25 Nov 2024
Diffusion Models in 3D Vision: A Survey Zhen Wang Dongyuan Li Renhe Jiang Tianyu He Jiang Bian Renhe Jiang MedIm 63 4 0 07 Oct 2024
IOVS4NeRF:Incremental Optimal View Selection for Large-Scale NeRFs Jingpeng Xie Shiyu Tan Yuanlei Wang Yizhen Lao Yifei Xue Yizhen Lao 45 0 0 26 Jul 2024
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models Xinxing Shi Thomas Baldwin-McDonald Mauricio A. Álvarez 71 0 0 01 Jul 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 41 0 0 24 Jun 2024
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking Lijun Zhou Tao Tang Pengkun Hao Zihang He Kalok Ho ... Zhihui Hao Haiyang Sun Kun Zhan Peng Jia Xianpeng Lang VOT 58 4 0 04 Jun 2024
Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim Joohwan Ko Yian Ma Jacob R. Gardner 50 0 0 03 Jun 2024
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos P. Koutsourelakis AI4CE 31 3 0 29 May 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 35 1 0 29 May 2024
Rényi Neural Processes Xuesong Wang He Zhao Edwin V. Bonilla UQCV BDL 32 0 0 25 May 2024
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization Herilalaina Rakotoarison Steven Adriaensen Neeratyoy Mallik Samir Garibov Eddie Bergman Frank Hutter AI4CE 32 8 0 25 Apr 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 23 0 0 25 Apr 2024
Domain Generalization with Small Data Kecheng Chen Elena Gal Hong Yan Haoliang Li OOD 19 5 0 09 Feb 2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks Tim Whitaker Darrell Whitley 25 0 0 16 Jan 2024
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration Mike Heddes Narayan Srinivasa T. Givargis Alexandru Nicolau 91 0 0 12 Jan 2024
Short-Term Multi-Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention-GCN-LSTM Jie Liu Yijia Cao Yong Li Yixiu Guo Wei Deng 19 1 0 19 Dec 2023
An Unsupervised Deep Learning Approach for the Wave Equation Inverse Problem Xiong-bin Yan Keke Wu Zhi-Qin John Xu Zheng Ma 19 0 0 08 Nov 2023
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models Christian Harder Moritz Fuchs Yuri Tolkach Anirban Mukhopadhyay 25 0 0 25 Oct 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition Hongxiang Gao Xiangyao Wang Zhenghua Chen Min-man Wu Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 30 9 0 22 Oct 2023
Efficient Learning of Discrete-Continuous Computation Graphs David Friede Mathias Niepert 13 3 0 26 Jul 2023
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control Longchao Da Hao Mei Romir Sharma Hua Wei 25 2 0 23 Jul 2023
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 35 1 0 12 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 20 3 0 05 Jul 2023
Learning Discrete Weights and Activations Using the Local Reparameterization Trick G. Berger Aviv Navon Ethan Fetaya MQ 20 0 0 04 Jul 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition Zhen Zhang Mengting Hu Shiwan Zhao Minlie Huang Haotian Wang Lemao Liu Zhirui Zhang Zhe Liu Bingzhe Wu EDL 28 10 0 29 May 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts Pratinav Seth Mihir Agarwal AI4MH 16 1 0 10 Apr 2023
Probabilistic Prompt Learning for Dense Prediction Hyeongjun Kwon Taeyong Song Somi Jeong Jin-Hwa Kim Jinhyun Jang K. Sohn VLM 23 18 0 03 Apr 2023
Model-based feature selection for neural networks: A mixed-integer programming approach Shudian Zhao Calvin Tsay Jan Kronqvist 29 5 0 20 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 34 12 0 13 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 27 35 0 10 Feb 2023
Masked Vector Quantization David D. Nguyen David Leibowitz Surya Nepal S. Kanhere MQ 13 0 0 16 Jan 2023
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition Will Rieger BDL UQCV 11 0 0 16 Jan 2023
Bayesian posterior approximation with stochastic ensembles Oleksandr Balabanov Bernhard Mehlig H. Linander BDL UQCV 27 5 0 15 Dec 2022
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity Yuki Hirayama Sinya Takamaeda-Yamazaki BDL 22 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 25 10 0 21 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting Junlong Tong Liping Xie Wankou Yang Kanjian Zhang AI4TS 22 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 56 20 0 28 Oct 2022
Variational Model Perturbation for Source-Free Domain Adaptation Mengmeng Jing Xiantong Zhen Jingjing Li Cees G. M. Snoek 31 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 21 5 0 26 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 30 10 0 08 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 73 24 0 01 Sep 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 25 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 32 31 0 19 Aug 2022