Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,460 papers shown

Title
Unsupervised Representation Learning by Discovering Reliable Image Relations Timo Milbich Omair Ghori Ferran Diego Bjorn Ommer OOD SSL 27 9 0 18 Nov 2019
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 35 214 0 18 Nov 2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Linxiao Yang Ngai-man Cheung SSL GAN 23 60 0 16 Nov 2019
Molecular Generative Model Based On Adversarially Regularized Autoencoder S. Hong Jaechang Lim Seongok Ryu W. Kim GAN DRL GNN 39 64 0 13 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 22 35 0 12 Nov 2019
Rate-Regularization and Generalization in VAEs Alican Bozkurt Babak Esmaeili Jean-Baptiste Tristan Dana H. Brooks Jennifer G. Dy Jan-Willem van de Meent DRL 38 7 0 11 Nov 2019
Disentangle, align and fuse for multimodal and semi-supervised image segmentation A. Chartsias G. Papanastasiou Chengjia Wang S. Semple D. Newby R. Dharmakumar Sotirios A. Tsaftaris 29 13 0 11 Nov 2019
A Bilingual Generative Transformer for Semantic Sentence Embedding John Wieting Graham Neubig Taylor Berg-Kirkpatrick 32 28 0 10 Nov 2019
Deep learning for cardiac image segmentation: A review Chen Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 64 675 0 09 Nov 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip Torr DRL 32 266 0 08 Nov 2019
Not Enough Data? Deep Learning to the Rescue! Ateret Anaby-Tavor Boaz Carmeli Esther Goldbraich Amir Kantor George Kour Segev Shlomov N. Tepper Naama Zwerdling 27 366 0 08 Nov 2019
Extracting temporal features into a spatial domain using autoencoders for sperm video analysis Vajira Thambawita Pål Halvorsen Hugo Lewi Hammer Michael Riegler Trine B. Haugen 19 16 0 08 Nov 2019
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels Yihan Jiang Hyeji Kim Himanshu Asnani Sreeram Kannan Sewoong Oh Pramod Viswanath 35 134 0 08 Nov 2019
Machine learning for molecular simulation Frank Noé A. Tkatchenko K. Müller C. Clementi AI4CE 27 642 0 07 Nov 2019
Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets Meimei Liu Zhengwu Zhang David B. Dunson 21 4 0 07 Nov 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 40 179 0 06 Nov 2019
Unsupervised Opinion Summarization as Copycat-Review Generation Arthur Brazinskas Mirella Lapata Ivan Titov 22 125 0 06 Nov 2019
Gradient-based Adaptive Markov Chain Monte Carlo Michalis K. Titsias P. Dellaportas BDL 39 22 0 04 Nov 2019
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Daeryong Kim B. Suh 24 50 0 03 Nov 2019
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks Saurabh Sahu Rahul Gupta C. Espy-Wilson GAN 24 15 0 31 Oct 2019
Semi-supervisedly Co-embedding Attributed Networks Zaiqiao Meng Shangsong Liang Jinyuan Fang Teng Xiao GNN DRL 37 26 0 31 Oct 2019
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation Duygu Ataman Wilker Aziz Alexandra Birch 29 16 0 30 Oct 2019
Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 16 19 0 30 Oct 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation Kuan Fang Yuke Zhu Animesh Garg Silvio Savarese Li Fei-Fei DRL 23 47 0 29 Oct 2019
On Investigation of Unsupervised Speech Factorization Based on Normalization Flow Haoran Sun Yunqi Cai Lantian Li Dong Wang 21 1 0 29 Oct 2019
Adversarial Fisher Vectors for Unsupervised Representation Learning Shuangfei Zhai Walter A. Talbott Carlos Guestrin J. Susskind GAN 22 9 0 29 Oct 2019
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures Wu Lin Mohammad Emtiyaz Khan Mark Schmidt 31 31 0 29 Oct 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric Xing 29 116 0 28 Oct 2019
Study of Deep Generative Models for Inorganic Chemical Compositions Yoshihide Sawada Koji Morikawa Mikiya Fujii GAN 35 13 0 25 Oct 2019
Multimodal Image Outpainting With Regularized Normalized Diversification Lingzhi Zhang Jiancong Wang Jianbo Shi DiffM 13 15 0 25 Oct 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning Cinjon Resnick Abhinav Gupta Jakob N. Foerster Andrew M. Dai Kyunghyun Cho 31 51 0 24 Oct 2019
A Recurrent Variational Autoencoder for Speech Enhancement Simon Leglaive Xavier Alameda-Pineda Laurent Girin Radu Horaud DRL 22 78 0 24 Oct 2019
Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong W. Sakla GAN 14 7 0 23 Oct 2019
Contextual Imagined Goals for Self-Supervised Robotic Learning Ashvin Nair Shikhar Bahl Alexander Khazatsky Vitchyr H. Pong Glen Berseth Sergey Levine SSL 35 68 0 23 Oct 2019
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong Bryan Seybold Kevin Patrick Murphy Hung Bui BDL 32 30 0 21 Oct 2019
Learning to Learn by Zeroth-Order Oracle Yangjun Ruan Yuanhao Xiong Sashank J. Reddi Sanjiv Kumar Cho-Jui Hsieh 22 17 0 21 Oct 2019
Learning Model-Agnostic Counterfactual Explanations for Tabular Data Martin Pawelczyk Johannes Haug Klaus Broelemann Gjergji Kasneci OOD CML 33 199 0 21 Oct 2019
Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models T. Taniguchi Tomoaki Nakamura Masahiro Suzuki Ryo Kuniyasu Kaede Hayashi Akira Taniguchi Takato Horii Takayuki Nagai BDL DRL 30 48 0 20 Oct 2019
LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network Yuhang Li Xiao Chen Feng Wu Zhengjun Zha CVBM GAN 27 65 0 20 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 16 273 0 18 Oct 2019
Semi-supervised Learning using Adversarial Training with Good and Bad Samples Wenyuan Li Zichen Wang Yuguang Yue Jiayun Li W. Speier Mingyuan Zhou C. Arnold GAN 21 22 0 18 Oct 2019
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan O. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang Brenden K. Petersen H. Zha Daniel Faissol OOD OffRL 33 33 0 17 Oct 2019
Optimal Transport Based Generative Autoencoders Oliver Zhang Ruei-Sung Lin Yuchuan Gou GAN DRL 27 2 0 16 Oct 2019
On the Global Optima of Kernelized Adversarial Representation Learning Bashir Sadeghi Runyi Yu Vishnu Boddeti AAML 67 31 0 16 Oct 2019
Soft Actor-Critic for Discrete Action Settings Petros Christodoulou OffRL 104 292 0 16 Oct 2019
Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure Ioannis C. Konstantakopoulos Hari Prasanna Das Andrew R. Barkan Shiying He Tanya Veeravalli Huihan Liu Aummul Baneen Manasawala Yu-Wen Lin C. Spanos 27 21 0 16 Oct 2019
TrajectoryNet: a new spatio-temporal feature learning network for human motion prediction Xiaoli Liu Jianqin Yin Jin Liu Pengxiang Ding Jun Liu Huaping Liu 3DH 27 11 0 15 Oct 2019
Low Bit-Rate Speech Coding with VQ-VAE and a WaveNet Decoder Cristina Garbacea Aaron van den Oord Yazhe Li Felicia S. C. Lim Alejandro Luebs Oriol Vinyals Thomas C. Walters 27 121 0 14 Oct 2019