The Usual Suspects? Reassessing Blame for VAE Posterior Collapse

23 December 2019

Papers citing "The Usual Suspects? Reassessing Blame for VAE Posterior Collapse"

42 / 42 papers shown

Title
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective Li Wang Wei Huang DRL 26 0 0 09 Sep 2024
Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis Tsuyoshi Idé Dzung Phan Rudy Raymond FedML 36 0 0 01 Apr 2024
Bayesian Transfer Learning Piotr M. Suder Jason Xu David B. Dunson 36 5 0 20 Dec 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 37 4 0 13 Nov 2023
Motion-DVAE: Unsupervised learning for fast human motion denoising Guénolé Fiche Simon Leglaive Xavier Alameda-Pineda Renaud Séguier VGen DiffM 3DH 36 2 0 09 Jun 2023
Unscented Autoencoder Faris Janjos Lars Rosenbaum Maxim Dolgov J. Marius Zöllner 21 2 0 08 Jun 2023
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders Hien Dang Tho Tran T. Nguyen Nhat Ho CML DRL 23 3 0 08 Jun 2023
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport Vy Vo Trung Le L. Vuong He Zhao Edwin V. Bonilla Dinh Q. Phung OT 26 4 0 25 May 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network Yuri Kinoshita Kenta Oono Kenji Fukumizu Yuichi Yoshida S. Maeda DRL BDL 20 2 0 25 Apr 2023
How good are variational autoencoders at transfer learning? Lisa Bonheme M. Grzes OOD DRL 23 2 0 21 Apr 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 22 0 0 11 Feb 2023
Posterior Collapse and Latent Variable Non-identifiability Yixin Wang David M. Blei John P. Cunningham CML DRL 83 72 0 02 Jan 2023
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve Juhan Bae Michael Ruogu Zhang Michael Ruan Eric Wang S. Hasegawa Jimmy Ba Roger C. Grosse DRL 21 17 0 07 Dec 2022
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis Shichong Peng Alireza Moazeni Ke Li DiffM 33 2 0 25 Nov 2022
Break The Spell Of Total Correlation In betaTCVAE Zihao Chen Qiang Li Bing Guo CML DRL 26 1 0 17 Oct 2022
FONDUE: an algorithm to find the optimal dimensionality of the latent representations of variational autoencoders Lisa Bonheme M. Grzes DRL 36 6 0 26 Sep 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Ðorðe Miladinovic Kumar Shridhar Kushal Kumar Jain Max B. Paulus J. M. Buhmann Mrinmaya Sachan Carl Allen DRL 23 5 0 26 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 26 11 0 15 Sep 2022
Group Activity Recognition in Basketball Tracking Data -- Neural Embeddings in Team Sports (NETS) Sandro Hauri Slobodan Vučetić 21 8 0 31 Aug 2022
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences Mubashir Imran Hongzhi Yin Tong Chen Nguyen Quoc Viet Hung Alexander Zhou Kai Zheng 34 69 0 28 Jul 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 26 49 0 20 Jun 2022
Variational Meta Reinforcement Learning for Social Robotics Anand Ballou Xavier Alameda-Pineda Chris Reinke OffRL 11 13 0 07 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 35 19 0 06 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 27 5 0 01 Jun 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 35 10 0 17 May 2022
Posterior Collapse of a Linear Latent Variable Model Zihao Wang Liu Ziyin BDL 33 21 0 09 May 2022
Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification Chaoyang Wu Wenhang Ge Ancong Wu Xiaobin Chang 44 21 0 29 Mar 2022
Competency Assessment for Autonomous Agents using Deep Generative Models Aastha Acharya Rebecca L. Russell Nisar R. Ahmed 32 10 0 23 Mar 2022
The Transitive Information Theory and its Application to Deep Generative Models Trung Ngo Trong Najwa Laabid Ville Hautamaki M. Heinäniemi DRL 46 0 0 09 Mar 2022
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE Young-geun Kim Yong-Jin Liu Xue Wei OOD CML 41 1 0 09 Feb 2022
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias Frederic Koehler Viraj Mehta Chenghui Zhou Andrej Risteski DRL 36 12 0 13 Dec 2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation Yi Cai Arthur Zimek Eirini Ntoutsi 25 5 0 30 Sep 2021
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders Lisa Bonheme M. Grzes DRL 19 6 0 26 Sep 2021
Neighbor Embedding Variational Autoencoder Renfei Tu Yang Liu Yongzeng Xue Cheng Wang Maozu Guo BDL DRL 15 0 0 21 Mar 2021
VAE Approximation Error: ELBO and Exponential Families Alexander Shekhovtsov D. Schlesinger B. Flach DRL 35 15 0 18 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
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models Severi Rissanen Pekka Marttinen CML 25 26 0 12 Feb 2021
Generative Capacity of Probabilistic Protein Sequence Models Francisco McGee Quentin Novinger R. Levy Vincenzo Carnevale A. Haldane 35 34 0 03 Dec 2020
Mutual Information Constraints for Monte-Carlo Objectives Gábor Melis András Gyorgy Phil Blunsom 21 1 0 01 Dec 2020
GENs: Generative Encoding Networks Surojit Saha Shireen Y. Elhabian Ross T. Whitaker GAN 18 8 0 28 Oct 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 27 25 0 14 Jul 2020
A Generalised Linear Model Framework for $β$ -Variational Autoencoders based on Exponential Dispersion Families Robert Sicks R. Korn Stefanie Schwaar 15 12 0 11 Jun 2020