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Auxiliary Deep Generative Models

17 February 2016

Papers citing "Auxiliary Deep Generative Models"

50 / 230 papers shown

Title
Joint-stochastic-approximation Random Fields with Application to Semi-supervised Learning Yunfu Song Zhijian Ou 24 0 0 24 May 2025
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning Wenbo He Zhijian Ou DRL BDL 43 0 0 24 May 2025
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior Surajit Chakrabarty Rukma Talwadker Tridib Mukherjee GAN 140 3 0 02 May 2025
Generative Adversarial Networks with Limited Data: A Survey and Benchmarking Omar de Mitri Ruyu Wang Marco F. Huber 104 0 0 07 Apr 2025
Bridge the Inference Gaps of Neural Processes via Expectation Maximization Q. Wang Marco Federici H. V. Hoof UQCV BDL 129 15 0 08 Jan 2025
Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data Giora Simchoni Saharon Rosset 122 0 0 22 Dec 2024
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 129 3 0 02 Dec 2024
Probabilistic Programming with Programmable Variational Inference McCoy R. Becker Alexander K. Lew Xiaoyan Wang Matin Ghavami Mathieu Huot Martin Rinard Vikash K. Mansinghka 131 5 0 22 Jun 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 92 5 0 06 Mar 2024
CERM: Context-aware Literature-based Discovery via Sentiment Analysis Julio Christian Young Uchenna Akujuobi 56 2 0 27 Jan 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 76 4 0 19 Jan 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 90 0 0 11 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 145 1 0 05 Jan 2024
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation Xiaoyu Lin Laurent Girin Xavier Alameda-Pineda 64 2 0 07 Dec 2023
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch Tim Z. Xiao Johannes Zenn Robert Bamler 43 0 0 30 Oct 2023
Unsupervised Text Style Transfer with Deep Generative Models Zhongtao Jiang Yuanzhe Zhang Yiming Ju Kang Liu 83 0 0 31 Aug 2023
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series Jan-Philipp Roche Oliver Niggemann J. Friebe 39 2 0 21 Aug 2023
Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation Junhao Dong Zhu Meng Delong Liu Zhicheng Zhao Fei Su 79 4 0 19 Jul 2023
SepVAE: a contrastive VAE to separate pathological patterns from healthy ones Robin Louiset Edouard Duchesnay Antoine Grigis Benoit Dufumier Pietro Gori DRL 129 5 0 12 Jul 2023
SciFix: Outperforming GPT3 on Scientific Factual Error Correction D. Ashok Atharva Kulkarni Hai Pham Barnabas Poczos 76 1 0 24 May 2023
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance Hua Lan Jinjie Hu Zengfu Wang Q. Cheng 56 11 0 06 May 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 285 42 0 21 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 55 1 0 18 Feb 2023
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 62 22 0 30 Nov 2022
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 106 115 0 09 Oct 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 157 121 0 24 Aug 2022
Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction Atia Hamidizadeh Tony Shen Martin Ester DRL 145 0 0 10 Aug 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang Yi-Zhu Dai Ji Xin Ming Li Jimmy J. Lin 74 5 0 23 Jun 2022
Contributor-Aware Defenses Against Adversarial Backdoor Attacks Glenn Dawson Muhammad Umer R. Polikar AAML 67 0 0 28 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 128 14 0 23 May 2022
LatentGAN Autoencoder: Learning Disentangled Latent Distribution Sanket Kalwar Animikh Aich Tanay Dixit Adit Chhabra DRL 91 0 0 05 Apr 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition Randy Ardywibowo Shahin Boluki Zhangyang Wang Bobak J. Mortazavi Shuai Huang Xiaoning Qian 45 2 0 31 Mar 2022
Dual reparametrized Variational Generative Model for Time-Series Forecasting Ziang Chen AI4TS 40 0 0 11 Mar 2022
The Transitive Information Theory and its Application to Deep Generative Models Trung Ngo Trong Najwa Laabid Ville Hautamaki M. Heinäniemi DRL 95 0 0 09 Mar 2022
Learning Conditional Variational Autoencoders with Missing Covariates S. Ramchandran Gleb Tikhonov Otto Lönnroth Pekka Tiikkainen Harri Lähdesmäki CML 72 19 0 02 Mar 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 134 17 0 22 Feb 2022
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder Xiaoyu Lin Laurent Girin Xavier Alameda-Pineda 72 2 0 18 Feb 2022
Variational Neural Temporal Point Process Deokjun Eom Sehyun Lee Jaesik Choi BDL AI4TS 66 2 0 17 Feb 2022
Posterior Matching for Arbitrary Conditioning R. Strauss Junier B. Oliva CML BDL 104 6 0 28 Jan 2022
Semi-supervised Salient Object Detection with Effective Confidence Estimation Jiawei Liu Jing Zhang Nick Barnes 78 5 0 28 Dec 2021
Disentangled representations: towards interpretation of sex determination from hip bone K. Zou S. Faisan F. Heitz Marie Epain P. Croisille L. Fanton S. Valette 3DH DRL 118 4 0 17 Dec 2021
Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye A. Bors CLL 85 10 0 15 Dec 2021
The Exponentially Tilted Gaussian Prior for Variational Autoencoders Griffin Floto Stefan Kremer Mihai Nica DRL 42 1 0 30 Nov 2021
Variational Inference with Holder Bounds Junya Chen Danni Lu Zidi Xiu Ke Bai Lawrence Carin Chenyang Tao 54 6 0 04 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms Jiaxu Leng Taiyue Chen Gao Xinbo Yongtao Yu Ye Wang Feng Gao Wang Yue ObjD 107 16 0 30 Oct 2021
Probabilistic Autoencoder using Fisher Information J. Zacherl Philipp Frank T. Ensslin EgoV AI4CE 63 2 0 28 Oct 2021
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 81 3 0 09 Sep 2021
Semi-Supervised Learning using Siamese Networks Attaullah Sahito E. Frank Bernhard Pfahringer SSL 42 9 0 02 Sep 2021
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification Attaullah Sahito E. Frank Bernhard Pfahringer SSL 29 1 0 02 Sep 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance Fahim Faisal Niloy M. A. Amin A. K. M. Mahbubur Rahman A. Ali DRL 62 0 0 29 Aug 2021