Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,457 papers shown

Title
Towards Governing Agent's Efficacy: Action-Conditional $β$ -VAE for Deep Transparent Reinforcement Learning John Yang Gyujeong Lee Minsung Hyun Simyung Chang Nojun Kwak 29 3 0 11 Nov 2018
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation Xiang Zhang Yann LeCun 14 0 0 10 Nov 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 41 355 0 09 Nov 2018
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence Athanasios Davvetas I. Klampanos V. Karkaletsis 27 5 0 09 Nov 2018
Cross and Learn: Cross-Modal Self-Supervision Nawid Sayed Biagio Brattoli Bjorn Ommer SSL 33 78 0 09 Nov 2018
Disentangling Latent Factors of Variational Auto-Encoder with Whitening Md. Zahangir Alom C. Yakopcic CoGe DRL 21 1 0 08 Nov 2018
Robustness of Conditional GANs to Noisy Labels Kerry J. Halupka A. Khetan Zinan Lin Stephen Moore NoLa 24 79 0 08 Nov 2018
Neural Image Compression for Gigapixel Histopathology Image Analysis David Tellez G. Litjens Jeroen van der Laak F. Ciompi 35 206 0 07 Nov 2018
Leveraging Virtual and Real Person for Unsupervised Person Re-identification Fengxiang Yang Zhun Zhong Zhiming Luo Sheng Lian Shaozi Li 17 27 0 05 Nov 2018
Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference Carlo Di Domenico Duc Minh Nguyen Evaggelia Tsiligianni Angel Lopez Aguirre M. Savino Frank Pasveer A. Bouras Nikos Deligiannis 14 24 0 05 Nov 2018
Learning Bone Suppression from Dual Energy Chest X-rays using Adversarial Networks P. Schwaller P. Bolgar GAN MedIm 25 17 0 05 Nov 2018
Content preserving text generation with attribute controls Lajanugen Logeswaran Honglak Lee Samy Bengio 38 117 0 03 Nov 2018
On the Generation of Medical Question-Answer Pairs Sheng Shen Yaliang Li Nan Du X. Wu Yusheng Xie Shen Ge Tao Yang Kai Wang Xin-Fang Liang Wei Fan MedIm 15 21 0 01 Nov 2018
Truly unsupervised acoustic word embeddings using weak top-down constraints in encoder-decoder models Herman Kamper SSL 35 68 0 01 Nov 2018
Modeling Melodic Feature Dependency with Modularized Variational Auto-Encoder Yu-An Wang Yu-Kai Huang Tzu-Chuan Lin Shang-Yu Su Yun-Nung Chen 19 3 0 31 Oct 2018
Mixture Density Generative Adversarial Networks Hamid Eghbalzadeh Werner Zellinger Gerhard Widmer GAN 22 39 0 31 Oct 2018
Analyzing biological and artificial neural networks: challenges with opportunities for synergy? David Barrett Ari S. Morcos Jakob H. Macke AI4CE 25 110 0 31 Oct 2018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness Raphael Suter Ðorðe Miladinovic Bernhard Schölkopf Stefan Bauer CML OOD DRL 21 159 0 31 Oct 2018
Hybrid Generative-Discriminative Models for Inverse Materials Design Phuoc Nguyen T. Tran Sunil R. Gupta Santu Rana Svetha Venkatesh AI4CE PINN 13 6 0 31 Oct 2018
Gaussian Process Conditional Density Estimation Vincent Dutordoir Hugh Salimbeni M. Deisenroth J. Hensman 19 52 0 30 Oct 2018
Semi-crowdsourced Clustering with Deep Generative Models Yucen Luo Tian Tian Jiaxin Shi Jun Zhu Bo Zhang 20 18 0 29 Oct 2018
The Expressive Power of Parameterized Quantum Circuits Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao 29 92 0 29 Oct 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 22 110 0 26 Oct 2018
Adversarial Semantic Scene Completion from a Single Depth Image Yida Wang D. Tan Nassir Navab Federico Tombari 3DPC 19 32 0 25 Oct 2018
Efficiently measuring a quantum device using machine learning D. Lennon H. Moon L. Camenzind Liuqi Yu D. Zumbuhl G. Briggs Michael A. Osborne E. Laird N. Ares 14 68 0 23 Oct 2018
Sparsemax and Relaxed Wasserstein for Topic Sparsity Tianyi Lin Zhibo Hu Xin Guo 16 37 0 22 Oct 2018
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 72 1,031 0 18 Oct 2018
Probably Unknown: Deep Inverse Sensor Modelling In Radar Rob Weston Sarah H. Cen Paul Newman Ingmar Posner 26 75 0 18 Oct 2018
Good Initializations of Variational Bayes for Deep Models Simone Rossi Pietro Michiardi Maurizio Filippone BDL 17 21 0 18 Oct 2018
Metropolis-Hastings view on variational inference and adversarial training Kirill Neklyudov Evgenii Egorov Pavel Shvechikov Dmitry Vetrov GAN 29 13 0 16 Oct 2018
Bottleneck Supervised U-Net for Pixel-wise Liver and Tumor Segmentation Song Li Geoffrey Tso SSeg 14 17 0 16 Oct 2018
An ETF view of Dropout regularization Dor Bank Raja Giryes 8 4 0 14 Oct 2018
Learning to Sketch with Deep Q Networks and Demonstrated Strokes Tao Zhou Chen Fang Zhaowen Wang Jimei Yang Byungmoon Kim Zhili Chen Jonathan Brandt Demetri Terzopoulos 25 7 0 14 Oct 2018
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential S. Ghimire P. Gyawali J. Sapp M. Horacek Linwei Wang MedIm 39 1 0 12 Oct 2018
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience Yevgen Chebotar Ankur Handa Viktor Makoviychuk Miles Macklin J. Issac Nathan D. Ratliff Dieter Fox 10 500 0 12 Oct 2018
Variational Bayesian Monte Carlo Luigi Acerbi BDL 14 64 0 12 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs Yogesh Balaji Hamed Hassani Rama Chellappa S. Feizi GAN DRL 41 20 0 09 Oct 2018
Generalized Latent Variable Recovery for Generative Adversarial Networks Nicholas Egan Jeffrey O. Zhang Kevin Shen GAN 22 4 0 09 Oct 2018
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 46 66 0 08 Oct 2018
Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images Yiming Wu Wei Ji Xi Li G. Wang Jianwei Yin Fei Wu 3DH 21 14 0 06 Oct 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 32 58 0 05 Oct 2018
CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas Amanpreet Singh Sharan Agrawal DiffM 31 5 0 05 Oct 2018
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference Mike Wu Noah D. Goodman Stefano Ermon BDL DRL 31 13 0 05 Oct 2018
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning Mel Vecerík Oleg O. Sushkov David Barker Thomas Rothörl Todd Hester Jonathan Scholz 19 110 0 02 Oct 2018
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection Hyun-Jae Choi Eric Jang Alexander A. Alemi OODD 20 82 0 02 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 17 851 0 02 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 33 206 0 02 Oct 2018
Interpretable Neuron Structuring with Graph Spectral Regularization Alexander Tong David van Dijk Jay S. Stanley Matthew Amodio Kristina M. Yim R. Muhle J. Noonan Guy Wolf Smita Krishnaswamy 32 6 0 30 Sep 2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information Arjun Sharma Mohit Sharma Nicholas Rhinehart Kris Kitani 27 68 0 29 Sep 2018
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation Shogo Seki Hirokazu Kameoka Li Li Tomoki Toda K. Takeda DRL 19 19 0 29 Sep 2018