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Auxiliary Deep Generative Models

17 February 2016

Papers citing "Auxiliary Deep Generative Models"

50 / 230 papers shown

Title
Understanding and Improving Virtual Adversarial Training Dongha Kim Yongchan Choi Yongdai Kim GAN AAML 30 2 0 15 Sep 2019
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning Zhanghan Ke Daoye Wang Qiong Yan Jimmy S. J. Ren Rynson W. H. Lau 81 216 0 03 Sep 2019
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks Juan Maroñas Roberto Paredes Palacios D. Ramos-Castro UQCV BDL 102 24 0 23 Aug 2019
Semi-Implicit Graph Variational Auto-Encoders Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 88 132 0 19 Aug 2019
Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition Haoqian Wang Zhiwei Xu Jun Xu Wangpeng An Lei Zhang Qionghai Dai GAN 52 8 0 11 Aug 2019
Variational f-divergence Minimization Mingtian Zhang Thomas Bird Raza Habib Tianlin Xu David Barber FedML 61 29 0 27 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 85 11 0 13 Jul 2019
Trust-Region Variational Inference with Gaussian Mixture Models Oleg Arenz Mingjun Zhong Gerhard Neumann 87 20 0 10 Jul 2019
General Control Functions for Causal Effect Estimation from Instrumental Variables A. Puli Rajesh Ranganath CML 107 4 0 08 Jul 2019
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning Phi Vu Tran SSL 56 16 0 25 Jun 2019
Variational Sequential Labelers for Semi-Supervised Learning Mingda Chen Qingming Tang Karen Livescu Kevin Gimpel SSL DRL BDL VLM 87 39 0 23 Jun 2019
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder Marek Śmieja Maciej Wołczyk Jacek Tabor Bernhard C. Geiger 44 23 0 21 Jun 2019
Weakly Supervised Clustering by Exploiting Unique Class Count Mustafa Umit Oner H. Lee Wing-Kin Sung 45 7 0 18 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 247 2,385 0 06 Jun 2019
Hierarchical Importance Weighted Autoencoders Chin-Wei Huang Kris Sankaran Eeshan Gunesh Dhekane Alexandre Lacoste Aaron Courville BDL 61 15 0 13 May 2019
Importance Weighted Hierarchical Variational Inference Artem Sobolev Dmitry Vetrov BDL 79 29 0 08 May 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning Xiang Zhang Lina Yao Feng Yuan DRL GAN 64 42 0 07 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 163 2,337 0 29 Apr 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 157 164 0 27 Apr 2019
Deep Generative Models for Reject Inference in Credit Scoring R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen BDL FaML 52 51 0 12 Apr 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 63 246 0 27 Mar 2019
Learning about an exponential amount of conditional distributions Mohamed Ishmael Belghazi Maxime Oquab Yann LeCun David Lopez-Paz BDL SSL 68 28 0 22 Feb 2019
STCN: Stochastic Temporal Convolutional Networks Emre Aksan Otmar Hilliges BDL 59 62 0 18 Feb 2019
Information Losses in Neural Classifiers from Sampling Brandon Foggo N. Yu Jie Shi Yuanqi Gao 63 7 0 15 Feb 2019
Hybrid Models with Deep and Invertible Features Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan BDL DRL 122 99 0 07 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 112 215 0 06 Feb 2019
Constructing the Matrix Multilayer Perceptron and its Application to the VAE Jalil Taghia Maria Bånkestad Fredrik Lindsten Thomas B. Schon DRL 116 6 0 04 Feb 2019
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels M. Willetts Stephen J. Roberts Christopher C Holmes 54 4 0 24 Jan 2019
On the Transformation of Latent Space in Autoencoders Jaehoon Cha Kyeong Soo Kim Sanghyuk Lee DiffM 26 5 0 24 Jan 2019
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression J. Jaskari Jyri J. Kivinen BDL DRL 47 6 0 18 Dec 2018
Classification-Reconstruction Learning for Open-Set Recognition Ryota Yoshihashi Wen Shao Rei Kawakami Shaodi You M. Iida T. Naemura BDL 88 329 0 11 Dec 2018
Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights Melanie F. Pradier Weiwei Pan Jiayu Yao S. Ghosh Finale Doshi-velez UQCV BDL 63 10 0 16 Nov 2018
Semi-unsupervised Learning of Human Activity using Deep Generative Models M. Willetts Aiden Doherty Stephen J. Roberts Chris Holmes 37 3 0 29 Oct 2018
Gaussian Process Prior Variational Autoencoders F. P. Casale Adrian Dalca Luca Saglietti Jennifer Listgarten Nicolò Fusi BDL CML 77 139 0 28 Oct 2018
Doubly Semi-Implicit Variational Inference Dmitry Molchanov V. Kharitonov Artem Sobolev Dmitry Vetrov BDL 109 40 0 05 Oct 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 61 48 0 06 Sep 2018
Semi-supervised Learning on Graphs with Generative Adversarial Nets Ming Ding Jie Tang Jie Zhang GNN GAN 99 116 0 01 Sep 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 142 57 0 06 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 112 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 89 68 0 27 Jul 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 111 117 0 21 Jul 2018
Manifold Adversarial Learning Shufei Zhang Kaizhu Huang Jianke Zhu Yang Liu OOD AAML 63 5 0 16 Jul 2018
Deep Generative Model using Unregularized Score for Anomaly Detection with Heterogeneous Complexity Takashi Matsubara Kenta Hama Ryosuke Tachibana K. Uehara 66 29 0 16 Jul 2018
Excavate Condition-invariant Space by Intrinsic Encoder Jian Xu Chunheng Wang Cunzhao Shi Baihua Xiao BDL 31 1 0 29 Jun 2018
Controllable Semantic Image Inpainting Jin Xu Yee Whye Teh 56 7 0 15 Jun 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 98 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 107 30 0 01 Jun 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 97 128 0 28 May 2018
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance Neal Jean Sang Michael Xie Stefano Ermon BDL SSL 92 77 0 26 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 81 10 0 23 May 2018