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Generalized Denoising Auto-Encoders as Generative Models

29 May 2013

Pascal Vincent

Papers citing "Generalized Denoising Auto-Encoders as Generative Models"

50 / 228 papers shown

Title
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models Kamil Deja Anna Kuzina Tomasz Trzciñski Jakub M. Tomczak DiffM 92 29 0 31 May 2022
Speckle Image Restoration without Clean Data Tsung-Ming Tai Yun-Jie Jhang Wen-Jyi Hwang Chau-Jern Cheng 89 4 0 18 May 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen Cheng Wen Feng Zheng Fengxiang He Ling Shao OODD 46 5 0 25 Apr 2022
POS-BERT: Point Cloud One-Stage BERT Pre-Training Kexue Fu Peng Gao Shaolei Liu Renrui Zhang Yu Qiao Manning Wang 3DPC 83 19 0 03 Apr 2022
Probing BERT's priors with serial reproduction chains Takateru Yamakoshi Thomas Griffiths Robert D. Hawkins 84 13 0 24 Feb 2022
Bias-Eliminated Semantic Refinement for Any-Shot Learning Liangjun Feng Chunhui Zhao Xi Li DiffM GAN 86 18 0 10 Feb 2022
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification Hazel Kim Jaeman Son Yo-Sub Han 49 3 0 05 Feb 2022
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection Marcin Pietroñ Dominik Zurek Kamil Faber R. Corizzo 84 5 0 10 Dec 2021
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms Trent Kyono Yao Zhang Alexis Bellot M. Schaar CML 104 66 0 04 Nov 2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE Devansh Arpit Aadyot Bhatnagar Huan Wang Caiming Xiong 40 0 0 19 Oct 2021
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 69 6 0 07 Oct 2021
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds Siyuan Huang Yichen Xie Song-Chun Zhu Yixin Zhu 3DPC 101 212 0 01 Sep 2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Bjoern Michele Alexandre Boulch Gilles Puy Maxime Bucher Renaud Marlet 3DPC DiffM VLM 96 59 0 13 Aug 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 282 950 0 07 Jul 2021
On the Generative Utility of Cyclic Conditionals Chang-Shu Liu Haoyue Tang Tao Qin Jintao Wang Tie-Yan Liu 82 3 0 30 Jun 2021
Model Selection for Bayesian Autoencoders Ba-Hien Tran Simone Rossi Dimitrios Milios Pietro Michiardi Edwin V. Bonilla Maurizio Filippone BDL 82 13 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 87 688 0 10 Jun 2021
Reinforced Generative Adversarial Network for Abstractive Text Summarization Tianyang Xu Chunyun Zhang 21 2 0 31 May 2021
Semantic Frame Forecast Huang Chieh-Yang Ting-Hao 'Kenneth' Huang AI4TS 42 5 0 12 Apr 2021
Learning Stable Representations with Full Encoder Zhouzheng Li Kun Feng OOD DRL 12 0 0 25 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 176 508 0 08 Mar 2021
Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu Shitong Luo Yoshua Bengio Jian-wei Peng Jian Tang AI4CE 118 119 0 20 Feb 2021
Noise Learning Based Denoising Autoencoder Woong-Hee Lee Mustafa Ozger Ursula Challita K. Sung AI4CE 32 50 0 20 Jan 2021
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees J. Dhaliwal Kyle Hambrook 118 0 0 13 Jan 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 97 128 0 15 Dec 2020
ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction Xiaoyu Mo Yang Xing Chen Lv GNN 93 43 0 09 Dec 2020
The Neural Coding Framework for Learning Generative Models Alexander Ororbia Daniel Kifer GAN 99 68 0 07 Dec 2020
A Review of Generalized Zero-Shot Learning Methods Farhad Pourpanah Moloud Abdar Yuxuan Luo Xinlei Zhou Ran Wang C. P. Lim Xizhao Wang Q. M. Jonathan Wu VLM 152 363 0 17 Nov 2020
Highly-scalable stochastic neuron based on Ovonic Threshold Switch (OTS) and its applications in Restricted Boltzmann Machine (RBM) Seong-il Im Hyejin Lee Jaesang Lee Jae-Seung Jeong J. Y. Kwak K. Kim Jeong Ho Cho H. Ju Suyoun Lee 13 1 0 21 Oct 2020
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 79 38 0 01 Oct 2020
Piece-wise Matching Layer in Representation Learning for ECG Classification B. Ghazanfari Fatemeh Afghah Sixian Zhang AI4TS 34 0 0 26 Sep 2020
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness Nathan Ng Kyunghyun Cho Marzyeh Ghassemi 92 146 0 21 Sep 2020
Stabilizing Invertible Neural Networks Using Mixture Models Paul Hagemann Sebastian Neumayer 53 39 0 07 Sep 2020
Langevin Cooling for Domain Translation Vignesh Srinivasan Klaus-Robert Muller Wojciech Samek Shinichi Nakajima 74 1 0 31 Aug 2020
Normal-bundle Bootstrap Ruda Zhang R. Ghanem 30 5 0 27 Jul 2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser Zahra Kadkhodaie Eero P. Simoncelli 100 86 0 27 Jul 2020
Deep Dynamic Factor Models P. Andreini Cosimo Izzo G. Ricco 64 11 0 23 Jul 2020
Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition Zongyan Han Zhenyong Fu Jian Yang 93 86 0 16 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 100 12 0 01 Jun 2020
On compression rate of quantum autoencoders: Control design, numerical and experimental realization Hailan Ma Chang-Jiang Huang Chunlin Chen D. Dong Yuanlong Wang R. Wu G. Xiang DRL 51 21 0 22 May 2020
ArchNet: Data Hiding Model in Distributed Machine Learning System Kaiyan Chang Wei Jiang Xiangyu Wen Zicheng Gong Weijia Pan FedML 47 0 0 23 Apr 2020
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation Neerav Karani Ertunc Erdil K. Chaitanya E. Konukoglu OOD 61 172 0 09 Apr 2020
Complexity Measures and Features for Times Series classification Francisco Javier Baldan J. M. Benítez 70 20 0 27 Feb 2020
Cross-modal variational inference for bijective signal-symbol translation Axel Chemla-Romeu-Santos Stavros Ntalampiras P. Esling G. Haus G. Assayag 13 6 0 10 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 109 843 0 20 Jan 2020
Masking schemes for universal marginalisers Divya Gautam Maria Lomeli Kostis Gourgoulias D. Thompson Saurabh Johri 67 1 0 16 Jan 2020
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity Pedro Sandoval Segura Julius Lauw Daniel Bashir K. Shah Sonia Sehra D. Macias George D. Montañez 40 7 0 23 Dec 2019
From Persistent Homology to Reinforcement Learning with Applications for Retail Banking Jérémy Charlier 28 1 0 23 Nov 2019
Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck I. Manakov Markus Rohm Volker Tresp 43 9 0 18 Nov 2019
Semantic Role Labeling with Iterative Structure Refinement Chunchuan Lyu Shay B. Cohen Ivan Titov OffRL 77 22 0 07 Sep 2019