Auxiliary Deep Generative Models

17 February 2016

Papers citing "Auxiliary Deep Generative Models"

50 / 83 papers shown

Title
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior Surajit Chakrabarty Rukma Talwadker Tridib Mukherjee GAN 60 3 0 02 May 2025
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 46 4 0 06 Mar 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 33 2 0 19 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 40 1 0 05 Jan 2024
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 20 1 0 18 Feb 2023
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 26 21 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 43 100 0 09 Oct 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 45 113 0 24 Aug 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
LatentGAN Autoencoder: Learning Disentangled Latent Distribution Sanket Kalwar Animikh Aich Tanay Dixit Adit Chhabra DRL 29 0 0 05 Apr 2022
Learning Conditional Variational Autoencoders with Missing Covariates S. Ramchandran Gleb Tikhonov Otto Lönnroth Pekka Tiikkainen Harri Lähdesmäki CML 19 14 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 75 17 0 22 Feb 2022
Variational Neural Temporal Point Process Deokjun Eom Sehyun Lee Jaesik Choi BDL AI4TS 38 2 0 17 Feb 2022
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 19 15 0 30 Oct 2021
Probabilistic Autoencoder using Fisher Information J. Zacherl Philipp Frank T. Ensslin EgoV AI4CE 33 2 0 28 Oct 2021
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 32 2 0 09 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 25 0 0 29 Aug 2021
GANmapper: geographical data translation Abraham Noah Wu Filip Biljecki GAN 21 41 0 07 Aug 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning Chandrajit L. Bajaj A. Roy Haoran Zhang BDL DRL 26 1 0 25 Jul 2021
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 22 22 0 05 Jul 2021
EXoN: EXplainable encoder Network SeungHwan An Hosik Choi Jong-June Jeon BDL DRL 29 5 0 23 May 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 85 6 0 15 Jan 2021
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 35 3 0 27 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 42 24 0 21 Nov 2020
Introducing a new high-resolution handwritten digits data set with writer characteristics Cédric Beaulac Jeffrey S. Rosenthal 27 2 0 04 Nov 2020
Self-Supervised Variational Auto-Encoders Ioannis Gatopoulos Jakub M. Tomczak 32 13 0 05 Oct 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 30 43 0 17 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models Zhijian Ou Yunfu Song BDL 32 8 0 28 May 2020
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 40 111 0 30 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 31 41 0 20 Dec 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 88 2,362 0 11 Nov 2019
Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 16 19 0 30 Oct 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 22 2 0 30 Sep 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
General Control Functions for Causal Effect Estimation from Instrumental Variables A. Puli Rajesh Ranganath CML 21 4 0 08 Jul 2019
Variational Sequential Labelers for Semi-Supervised Learning Mingda Chen Qingming Tang Karen Livescu Kevin Gimpel SSL DRL BDL VLM 19 39 0 23 Jun 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning Xiang Zhang Lina Yao Feng Yuan DRL GAN 30 42 0 07 May 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 21 161 0 27 Apr 2019
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 31 16 0 05 Aug 2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data Changde Du Changying Du Hao Wang Jinpeng Li Wei-Long Zheng Bao-Liang Lu Huiguang He 8 66 0 27 Jul 2018
Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas Daniel Coelho De Castro Loic Le Folgoc Ian Walker Ryutaro Tanno Daniel Rueckert Ben Glocker A. Criminisi A. Nori SSL 33 89 0 07 Jun 2018
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 11 30 0 01 Jun 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 35 121 0 28 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 May 2018
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding Ga Wu Justin Domke Scott Sanner BDL DRL 21 11 0 20 May 2018
XOGAN: One-to-Many Unsupervised Image-to-Image Translation Yongqi Zhang ViT GAN 18 9 0 18 May 2018
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification Xin Yi Ekta Walia P. Babyn GAN MedIm 30 50 0 10 Apr 2018
Hierarchical Adversarially Learned Inference Mohamed Ishmael Belghazi Sai Rajeswar Olivier Mastropietro Negar Rostamzadeh Jovana Mitrović Aaron Courville GAN BDL 40 29 0 04 Feb 2018
Inference Suboptimality in Variational Autoencoders Chris Cremer Xuechen Li David Duvenaud DRL BDL 33 280 0 10 Jan 2018