Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
Learning Physical Graph Representations from Visual Scenes Daniel M. Bear Chaofei Fan Damian Mrowca Yunzhu Li S. Alter ... Jeremy Schwartz Li Fei-Fei Jiajun Wu J. Tenenbaum Daniel L. K. Yamins SSL GNN SSeg AI4CE 45 79 0 22 Jun 2020
Controlling for sparsity in sparse factor analysis models: adaptive latent feature sharing for piecewise linear dimensionality reduction Adam Farooq Yordan P. Raykov P. Raykov Max A. Little 20 0 0 22 Jun 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 37 201 0 22 Jun 2020
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network Magda Friedjungová Daniel Vasata Maksym Balatsko M. Jiřina DiffM SyDa GAN 22 12 0 21 Jun 2020
Gradient-EM Bayesian Meta-learning Yayi Zou Xiaoqi Lu BDL 42 16 0 21 Jun 2020
Calibration of Model Uncertainty for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier BDL UQCV 32 18 0 20 Jun 2020
Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning Yuan Yao Chang-rui Liu Dezhao Luo Yu Zhou QiXiang Ye 29 169 0 20 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 17,154 0 19 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity Annie Xie James Harrison Chelsea Finn CLL OffRL 37 64 0 18 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning Xiaohang Zhan Jiahao Xie Ziwei Liu Yew-Soon Ong Chen Change Loy OOD 48 184 0 18 Jun 2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence J. Deasy Nikola Simidjievski Pietro Lio DRL 36 29 0 18 Jun 2020
Variational Autoencoder with Learned Latent Structure Marissa Connor Gregory H. Canal Christopher Rozell CML DRL 34 42 0 18 Jun 2020
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization Abhinav Agrawal Daniel Sheldon Justin Domke TPM BDL 27 38 0 18 Jun 2020
Individual Calibration with Randomized Forecasting Shengjia Zhao Tengyu Ma Stefano Ermon 16 58 0 18 Jun 2020
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF Atanas Mirchev Baris Kayalibay Patrick van der Smagt Justin Bayer BDL DRL 27 9 0 17 Jun 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
Multi-Domain Level Generation and Blending with Sketches via Example-Driven BSP and Variational Autoencoders Sam Snodgrass Anurag Sarkar 51 23 0 17 Jun 2020
Longitudinal Variational Autoencoder S. Ramchandran Gleb Tikhonov Kalle Kujanpää Miika Koskinen Harri Lähdesmäki DRL CML BDL 35 36 0 17 Jun 2020
3D Shape Reconstruction from Free-Hand Sketches Jiayun Wang Jierui Lin Qian Yu Runtao Liu Yubei Chen Stella X. Yu 20 39 0 17 Jun 2020
Learning Visual Commonsense for Robust Scene Graph Generation Alireza Zareian Zhecan Wang Haoxuan You Shih-Fu Chang 32 312 0 17 Jun 2020
Robust Compressed Sensing using Generative Models A. Jalal Liu Liu A. Dimakis Constantine Caramanis 23 39 0 16 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 26 61 0 16 Jun 2020
Learning from Demonstration with Weakly Supervised Disentanglement Yordan V. Hristov S. Ramamoorthy DRL 27 9 0 16 Jun 2020
Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition Zongyan Han Zhenyong Fu Jian Yang 23 86 0 16 Jun 2020
Minimum Width for Universal Approximation Sejun Park Chulhee Yun Jaeho Lee Jinwoo Shin 37 122 0 16 Jun 2020
HyperFlow: Representing 3D Objects as Surfaces Przemysław Spurek Maciej Ziȩba Jacek Tabor Tomasz Trzciñski 3DPC 3DH 31 9 0 15 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 38 82 0 15 Jun 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 27 40 0 15 Jun 2020
Detecting unusual input to neural networks Jörg Martin Clemens Elster AAML 17 7 0 15 Jun 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas M. Sutter Imant Daunhawer Julia E. Vogt 39 67 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 59 1,588 0 15 Jun 2020
Dissimilarity Mixture Autoencoder for Deep Clustering Juan S. Lara Fabio A. González 24 5 0 15 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 38 31 0 14 Jun 2020
Disentanglement for Discriminative Visual Recognition Xiaofeng Liu DRL 27 6 0 14 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 39 31 0 14 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 178 6,679 0 13 Jun 2020
Convolutional Generation of Textured 3D Meshes Dario Pavllo Graham Spinks Thomas Hofmann Marie-Francine Moens Aurelien Lucchi 19 62 0 13 Jun 2020
A Generative Model for Joint Natural Language Understanding and Generation Bo-Hsiang Tseng Jianpeng Cheng Yimai Fang David Vandyke 19 22 0 12 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 37 100 0 12 Jun 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera CML 28 178 0 11 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 30 22 0 11 Jun 2020
Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings Patrik Jonell Taras Kucherenko G. Henter Jonas Beskow CVBM 17 61 0 11 Jun 2020
Learning Continuous-Time Dynamics by Stochastic Differential Networks Yingru Liu Yucheng Xing Xuewen Yang Xin Wang Jing Shi Di Jin Zhaoyue Chen BDL 26 6 0 11 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 41 481 0 10 Jun 2020
On Noise Injection in Generative Adversarial Networks Ruili Feng Deli Zhao Zhengjun Zha GAN 23 32 0 10 Jun 2020
Deep generative models for musical audio synthesis M. Huzaifah L. Wyse 32 20 0 10 Jun 2020
SALD: Sign Agnostic Learning with Derivatives Matan Atzmon Y. Lipman 24 143 0 09 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 48 45 0 09 Jun 2020
On Data Augmentation for GAN Training Ngoc-Trung Tran Viet-Hung Tran Ngoc-Bao Nguyen Trung-Kien Nguyen Ngai-man Cheung MedIm 18 36 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020