Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
Multi-resolution Multi-task Gaussian Processes Oliver Hamelijnck Theodoros Damoulas Kangrui Wang Mark Girolami 28 38 0 19 Jun 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo Zhang Bolei Zhou GAN DRL 30 35 0 19 Jun 2019
Neural Volumes: Learning Dynamic Renderable Volumes from Images Stephen Lombardi Tomas Simon Jason M. Saragih Gabriel Schwartz Andreas M. Lehrmann Yaser Sheikh 3DH 23 278 0 18 Jun 2019
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables Lei Shen Yang Feng Haolan Zhan BDL 38 29 0 18 Jun 2019
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations Qiaoyun Wu Tianyi Zhou Jun Wang Kai Xu 16 15 0 17 Jun 2019
Back-Projection based Fidelity Term for Ill-Posed Linear Inverse Problems Tom Tirer Raja Giryes 22 43 0 16 Jun 2019
Variational Federated Multi-Task Learning Luca Corinzia Ami Beuret J. M. Buhmann FedML 27 160 0 14 Jun 2019
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders Taichi Sumi Brian Kenji Iwana Hideaki Hayashi S. Uchida EgoV 17 16 0 14 Jun 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 27 70 0 13 Jun 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 100 2,372 0 13 Jun 2019
Image-Adaptive GAN based Reconstruction Shady Abu Hussein Tom Tirer Raja Giryes GAN 19 89 0 12 Jun 2019
Fast Task Inference with Variational Intrinsic Successor Features Steven Hansen Will Dabney André Barreto T. Wiele David Warde-Farley Volodymyr Mnih BDL 44 151 0 12 Jun 2019
Incremental Learning from Scratch for Task-Oriented Dialogue Systems Weikang Wang Jiajun Zhang Q. Li M. Hwang Chengqing Zong Zhifei Li CLL 28 21 0 12 Jun 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection Changhee Han Yoshiro Kitamura Akira Kudo Akimichi Ichinose L. Rundo Yujiro Furukawa Kazuki Umemoto Yuanzhong Li Hideki Nakayama MedIm 24 116 0 12 Jun 2019
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991) J. Schmidhuber GAN DRL 33 57 0 11 Jun 2019
Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography M. Zreik R. V. van Hamersvelt Nadieh Khalili J. Wolterink M. Voskuil M. Viergever T. Leiner Ivana Išgum 29 54 0 11 Jun 2019
Learning to Score Behaviors for Guided Policy Optimization Aldo Pacchiano Jack Parker-Holder Yunhao Tang A. Choromańska K. Choromanski Michael I. Jordan 27 38 0 11 Jun 2019
Using generative modelling to produce varied intonation for speech synthesis Zack Hodari O. Watts Simon King 29 29 0 10 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 41 748 0 10 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 33 134 0 07 Jun 2019
PHiSeg: Capturing Uncertainty in Medical Image Segmentation Christian F. Baumgartner K. Tezcan K. Chaitanya A. Hötker Urs J. Muehlematter K. Schawkat Anton S. Becker O. Donati E. Konukoglu UQCV 11 200 0 07 Jun 2019
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation Yu Liu Li Deng Jianshu Chen C. Chen SSL 26 0 0 06 Jun 2019
Style Generator Inversion for Image Enhancement and Animation Aviv Gabbay Yedid Hoshen 16 17 0 05 Jun 2019
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification Chengyuan Zhang Lei Zhu Shichao Zhang GAN 31 31 0 05 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 83 1,269 0 04 Jun 2019
Streaming Variational Monte Carlo Yuan Zhao Josue Nassar I. Jordan M. Bugallo Il Memming Park BDL 34 21 0 04 Jun 2019
Adversarial Robustness as a Prior for Learned Representations Logan Engstrom Andrew Ilyas Shibani Santurkar Dimitris Tsipras Brandon Tran Aleksander Madry OOD AAML 29 63 0 03 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 105 1,459 0 03 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning Thomas Robert Nicolas Thome Matthieu Cord CoGe DRL 33 4 0 03 Jun 2019
Continual Learning of New Sound Classes using Generative Replay Zhepei Wang Y. C. Sübakan Efthymios Tzinis Paris Smaragdis Laurent Charlin VLM 27 23 0 03 Jun 2019
Controllable Paraphrase Generation with a Syntactic Exemplar Mingda Chen Qingming Tang Sam Wiseman Kevin Gimpel BDL 19 108 0 03 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 45 1,774 0 02 Jun 2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection Changhee Han L. Rundo Ryosuke Araki Yudai Nagano Yujiro Furukawa G. Mauri Hideki Nakayama Hideaki Hayashi MedIm 21 157 0 31 May 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 38 14 0 31 May 2019
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections R. Y. Rohekar Yaniv Gurwicz Shami Nisimov Gal Novik BDL UQCV 26 13 0 30 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 27 88 0 30 May 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks Haebeom Lee Hayeon Lee Donghyun Na Saehoon Kim Minseop Park Eunho Yang Sung Ju Hwang BDL OODD 24 106 0 30 May 2019
Particle Filter Recurrent Neural Networks Xiao Ma Peter Karkus David Hsu Wee Sun Lee 16 82 0 30 May 2019
Unsupervised Model Selection for Variational Disentangled Representation Learning Sunny Duan Loic Matthey Andre Saraiva Nicholas Watters Christopher P. Burgess Alexander Lerchner I. Higgins OOD DRL 19 78 0 29 May 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 45 290 0 29 May 2019
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning Dayiheng Liu Jie Fu Yidan Zhang C. Pal Jiancheng Lv DRL 39 48 0 29 May 2019
Exploiting Persona Information for Diverse Generation of Conversational Responses Haoyu Song Weinan Zhang Yiming Cui Dong Wang Ting Liu 19 136 0 29 May 2019
Deep Factors for Forecasting Bernie Wang Alex Smola Danielle C. Maddix Jan Gasthaus Dean Phillips Foster Tim Januschowski BDL 24 170 0 28 May 2019
Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors Antoine Cully 23 102 0 28 May 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 19 148 0 28 May 2019
Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding Yiğit Uğur George Arvanitakis Milad Sefidgaran BDL DRL 11 22 0 28 May 2019
Invertible generative models for inverse problems: mitigating representation error and dataset bias Muhammad Asim Max Daniels Oscar Leong Ali Ahmed Paul Hand 26 146 0 28 May 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 24 209 0 28 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 22 188 0 28 May 2019