From Variational to Deterministic Autoencoders

29 March 2019

Papers citing "From Variational to Deterministic Autoencoders"

50 / 164 papers shown

Title
Synthesising Multi-Modal Minority Samples for Tabular Data Sajad Darabi Yotam Elor 21 10 0 17 May 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 27 38 0 12 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 36 61 0 30 Apr 2021
Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection Xuefeng Li Alan Blair 16 0 0 23 Apr 2021
PAUL: Procrustean Autoencoder for Unsupervised Lifting Chaoyang Wang Simon Lucey 19 8 0 31 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 41 481 0 08 Mar 2021
A survey on Variational Autoencoders from a GreenAI perspective Andrea Asperti David Evangelista E. Loli Piccolomini DRL 6 51 0 01 Mar 2021
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models Tristan Aumentado-Armstrong Stavros Tsogkas Sven J. Dickinson Allan D. Jepson OCL DRL 20 6 0 27 Feb 2021
Anytime Sampling for Autoregressive Models via Ordered Autoencoding Yilun Xu Yang Song Sahaj Garg Linyuan Gong Rui Shu Aditya Grover Stefano Ermon DiffM 26 11 0 23 Feb 2021
Preventing Oversmoothing in VAE via Generalized Variance Parameterization Yuhta Takida Wei-Hsiang Liao Chieh-Hsin Lai Toshimitsu Uesaka Shusuke Takahashi Yuki Mitsufuji DRL 49 13 0 17 Feb 2021
Certifiably Robust Variational Autoencoders Ben Barrett A. Camuto M. Willetts Tom Rainforth AAML DRL 29 15 0 15 Feb 2021
Image-to-Image Translation: Methods and Applications Yingxue Pang Jianxin Lin Tao Qin Zhibo Chen VLM 35 259 0 21 Jan 2021
Cauchy-Schwarz Regularized Autoencoder Linh-Tam Tran M. Pantic M. Deisenroth DRL BDL 11 16 0 06 Jan 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder Tal Daniel Aviv Tamar DRL 22 42 0 24 Dec 2020
The Neural Coding Framework for Learning Generative Models Alexander Ororbia Daniel Kifer GAN 26 65 0 07 Dec 2020
Classification and reconstruction of optical quantum states with deep neural networks Shahnawaz Ahmed C. Muñoz Franco Nori A. F. Kockum 14 64 0 03 Dec 2020
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation Tristan Aumentado-Armstrong Alex Levinshtein Stavros Tsogkas Konstantinos G. Derpanis Allan D. Jepson 19 7 0 16 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 51 1,879 0 12 Nov 2020
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games Alessandro Suglia Antonio Vergari Ioannis Konstas Yonatan Bisk E. Bastianelli Andrea Vanzo Oliver Lemon OCL 6 10 0 05 Nov 2020
On the Sentence Embeddings from Pre-trained Language Models Bohan Li Hao Zhou Junxian He Mingxuan Wang Yiming Yang Lei Li 13 213 0 02 Nov 2020
ControlVAE: Tuning, Analytical Properties, and Performance Analysis Huajie Shao Zhisheng Xiao Shuochao Yao Aston Zhang Shengzhong Liu Tarek F. Abdelzaher DRL 30 14 0 31 Oct 2020
GENs: Generative Encoding Networks Surojit Saha Shireen Y. Elhabian Ross T. Whitaker GAN 14 8 0 28 Oct 2020
Generative Melody Composition with Human-in-the-Loop Bayesian Optimization Yijun Zhou Yuki Koyama Masataka Goto Takeo Igarashi 34 21 0 07 Oct 2020
Plug and Play Autoencoders for Conditional Text Generation Florian Mai Nikolaos Pappas Ivan Montero Noah A. Smith U. Washington 25 36 0 06 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja A. Schwing Jan Kautz Arash Vahdat DRL 8 81 0 06 Oct 2020
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Khai Nguyen S. Nguyen Nhat Ho Tung Pham Hung Bui 14 21 0 05 Oct 2020
Implicit Rank-Minimizing Autoencoder Li Jing Jure Zbontar Yann LeCun SSL DRL 14 46 0 01 Oct 2020
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models Zhisheng Xiao Karsten Kreis Jan Kautz Arash Vahdat 16 123 0 01 Oct 2020
Forward and inverse reinforcement learning sharing network weights and hyperparameters E. Uchibe Kenji Doya 19 18 0 17 Aug 2020
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes Wei Cheng Gregory Darnell Sohini Ramachandran Lorin Crawford BDL 6 2 0 20 Jul 2020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders A. Camuto M. Willetts Stephen J. Roberts Chris Holmes Tom Rainforth AAML DRL 26 30 0 14 Jul 2020
Gradient Origin Networks Sam Bond-Taylor Chris G. Willcocks BDL DRL 13 18 0 06 Jul 2020
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin Kostas Daniilidis Sergey Levine 6 91 0 23 Jun 2020
Go with the Flow: Adaptive Control for Neural ODEs Mathieu Chalvidal Matthew Ricci Rufin VanRullen Thomas Serre 17 2 0 16 Jun 2020
Isometric Autoencoders Amos Gropp Matan Atzmon Y. Lipman DRL 16 18 0 16 Jun 2020
Robust Variational Autoencoder for Tabular Data with Beta Divergence H. Akrami Sergul Aydore Richard M. Leahy Anand A. Joshi OOD DRL 14 18 0 15 Jun 2020
Disentangled Representation Learning and Generation with Manifold Optimization Arun Pandey Michaël Fanuel J. Schreurs Johan A. K. Suykens CoGe DRL 9 23 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 30 99 0 12 Jun 2020
A Generalised Linear Model Framework for $β$ -Variational Autoencoders based on Exponential Dispersion Families Robert Sicks R. Korn Stefanie Schwaar 13 12 0 11 Jun 2020
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs A. Mondal Himanshu Asnani Parag Singla A. Prathosh DRL 11 1 0 10 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 21 32 0 09 Jun 2020
Variance Constrained Autoencoding D. Braithwaite M. O'Connor W. Kleijn DRL 11 1 0 08 May 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond Chen Henry Wu P. Wang Luu Anh Tuan DRL 13 4 0 20 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 31 1,061 0 08 Apr 2020
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study Christoph Baur Stefan Denner Benedikt Wiestler Shadi Albarqouni Nassir Navab OOD 19 283 0 07 Apr 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 29 156 0 31 Mar 2020
Deep convolutional embedding for digitized painting clustering Giovanna Castellano G. Vessio 30 11 0 19 Mar 2020
Deterministic Decoding for Discrete Data in Variational Autoencoders Daniil Polykovskiy Dmitry Vetrov OffRL 21 8 0 04 Mar 2020
Batch norm with entropic regularization turns deterministic autoencoders into generative models Amur Ghose Abdullah M. Rashwan Pascal Poupart UQCV 18 8 0 25 Feb 2020
Variance Loss in Variational Autoencoders Andrea Asperti DRL 19 14 0 23 Feb 2020