Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
Joint Manifold Learning and Density Estimation Using Normalizing Flows S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour DRL 31 0 0 07 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 41 82 0 07 Jun 2022
Stacked unsupervised learning with a network architecture found by supervised meta-learning Kyle L. Luther H. S. Seung SSL 27 0 0 06 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 40 19 0 06 Jun 2022
A Memory System of a Robot Cognitive Architecture and its Implementation in ArmarX Fabian Peller-Konrad Rainer Kartmann Christian R. G. Dreher Andre Meixner Fabian Reister Markus Grotz Tamim Asfour 24 17 0 05 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 36 4 0 05 Jun 2022
Learning Speaker-specific Lip-to-Speech Generation Munender Varshney Ravindra Yadav Vinay P. Namboodiri R. Hegde 34 7 0 04 Jun 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models Yi-Chuan Liang J. Tenenbaum T. Le N. Siddharth 23 7 0 03 Jun 2022
Modeling electronic health record data using a knowledge-graph-embedded topic model Yuesong Zou Ahmad Pesaranghader Aman Verma David L. Buckeridge Yue Li 27 1 0 03 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 38 1 0 03 Jun 2022
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud D. Zimny Joanna Waczyñska Tomasz Trzciñski Przemysław Spurek 41 18 0 02 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 103 1,351 0 02 Jun 2022
Modeling Image Composition for Complex Scene Generation Zuopeng Yang Daqing Liu Chaoyue Wang J. Yang Dacheng Tao ViT 41 50 0 02 Jun 2022
SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks Yufei Zhang A. Schlüter C. Waibel AI4CE 30 23 0 01 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 34 5 0 01 Jun 2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder Jie Shi Chenfei Wu Jian Liang Xiang Liu Nan Duan DiffM 22 25 0 01 Jun 2022
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor Wanqi Xue Qingpeng Cai Ruohan Zhan Dong Zheng Peng Jiang Kun Gai Bo An OffRL 38 24 0 01 Jun 2022
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation Zohreh Azizi C.-C. Jay Kuo VLM DiffM GAN 46 8 0 01 Jun 2022
Text2Human: Text-Driven Controllable Human Image Generation Yuming Jiang Shuai Yang Haonan Qiu Wayne Wu Chen Change Loy Ziwei Liu DiffM 122 46 0 31 May 2022
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering João Machado de Freitas Sebastian Berg Bernhard C. Geiger Manfred Mücke 21 1 0 31 May 2022
Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization Lorenzo Pacchiardi Ritabrata Dutta TPM BDL UQCV GAN 31 18 0 31 May 2022
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction Wei Mao Miaomiao Liu Mathieu Salzmann 41 33 0 31 May 2022
Critic Sequential Monte Carlo Vasileios Lioutas J. Lavington Justice Sefas Matthew Niedoba Yunpeng Liu Berend Zwartsenberg Setareh Dabiri Frank Wood Adam Scibior 55 7 0 30 May 2022
Gator: Customizable Channel Pruning of Neural Networks with Gating E. Passov E. David N. Netanyahu AAML 45 0 0 30 May 2022
Guided Diffusion Model for Adversarial Purification Jinyi Wang Zhaoyang Lyu Dahua Lin Bo Dai Hongfei Fu DiffM 196 83 0 30 May 2022
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection Shaoshen Wang Yanbin Liu Ling Chen Chengqi Zhang 24 0 0 29 May 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 51 9 0 28 May 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling Lei Cheng Feng Yin Sergios Theodoridis S. Chatzis Tsung-Hui Chang 73 75 0 28 May 2022
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction Ruochen Jiao Xiangguo Liu Takami Sato Qi Alfred Chen Qi Zhu AAML 48 20 0 27 May 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 173 785 0 27 May 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 29 123 0 27 May 2022
DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images S. Langer O. Taubmann Felix Denzinger Andreas Maier Alexander Muhlberg MedIm 27 1 0 26 May 2022
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation Yuan Hu Lei Chen Zhibin Wang Hao Li OOD 34 48 0 26 May 2022
Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion Seongmin Park Jihwa Lee 33 5 0 26 May 2022
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation Li Mingzhe Xiexiong Lin Preslav Nakov Jinxiong Chang Qishen Zhang ... Taifeng Wang Zhongyi Liu Wei Chu Dongyan Zhao Rui Yan 46 11 0 26 May 2022
Structured Uncertainty in the Observation Space of Variational Autoencoders James A. G. Langley M. Monteiro Charles Jones Nick Pawlowski Ben Glocker CML OOD BDL DRL 39 2 0 25 May 2022
RevUp: Revise and Update Information Bottleneck for Event Representation Mehdi Rezaee Francis Ferraro 37 0 0 24 May 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 37 12 0 24 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 50 14 0 23 May 2022
KRNet: Towards Efficient Knowledge Replay Yingying Zhang Qiaoyong Zhong Di Xie Shi Pu CLL 33 0 0 23 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 36 8 0 22 May 2022
Improvements to Self-Supervised Representation Learning for Masked Image Modeling Jia-ju Mao Xuesong Yin Yuan Chang Honggu Zhou SSL 27 1 0 21 May 2022
Principled Knowledge Extrapolation with GANs Ruili Feng Jie Xiao Kecheng Zheng Deli Zhao Jingren Zhou Qibin Sun Zhengjun Zha 62 8 0 21 May 2022
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes Alexander Kolesnikov André Susano Pinto Lucas Beyer Xiaohua Zhai Jeremiah Harmsen N. Houlsby 103 68 0 20 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 241 0 20 May 2022
AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars Fangzhou Hong Mingyuan Zhang Liang Pan Zhongang Cai Lei Yang Ziwei Liu CLIP 98 79 0 17 May 2022
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space Kuan Fang Patrick Yin Ashvin Nair Sergey Levine OffRL 58 29 0 17 May 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization Luke Melas-Kyriazi Christian Rupprecht Iro Laina Andrea Vedaldi 40 160 0 16 May 2022
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models Xiaoting Shao Kristian Kersting BDL 27 1 0 16 May 2022
Conditional Born machine for Monte Carlo event generation Oriel Kiss Michele Grossi E. Kajomovitz S. Vallecorsa 44 14 0 16 May 2022