Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

29 November 2018

Francesco Locatello

Stefan Bauer

Olivier Bachem

Papers citing "Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations"

50 / 330 papers shown

Title
Discovery of Single Independent Latent Variable Uri Shaham Jonathan Svirsky Ori Katz Ronen Talmon CML 28 2 0 12 Oct 2021
Learning Temporally Causal Latent Processes from General Temporal Data Weiran Yao Yuewen Sun Alex Ho Changyin Sun Kun Zhang BDL CML 35 85 0 11 Oct 2021
On the relationship between disentanglement and multi-task learning Lukasz Maziarka A. Nowak Maciej Wołczyk Andrzej Bedychaj OOD DRL 27 3 0 07 Oct 2021
Unsupervised Image Decomposition with Phase-Correlation Networks Angel Villar-Corrales Sven Behnke OCL 35 4 0 07 Oct 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
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models Maciej Wołczyk Magdalena Proszewska Lukasz Maziarka Maciej Ziȩba Patryk Wielopolski Rafał Kurczab Marek Śmieja DRL 27 5 0 18 Sep 2021
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation Thien Q. Tran Kazuto Fukuchi Youhei Akimoto Jun Sakuma CML 40 10 0 09 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 82 0 08 Sep 2021
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows Hamidreza Eivazi S. L. C. Martínez S. Hoyas Ricardo Vinuesa 33 92 0 03 Sep 2021
Impossibility Results in AI: A Survey Mario Brčič Roman V. Yampolskiy 29 25 0 01 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 55 517 0 31 Aug 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 21 27 0 26 Aug 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 29 56 0 21 Aug 2021
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation Yuxiang Wei Yupeng Shi Xiao-Chang Liu Zhilong Ji Yuan Gao Zhongqin Wu W. Zuo 23 55 0 17 Aug 2021
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection Aming Wu R. Liu Yahong Han Linchao Zhu Yi Yang 35 103 0 15 Aug 2021
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities Elias Eulig Piyapat Saranrittichai Chaithanya Kumar Mummadi K. Rambach William H. Beluch Xiahan Shi Volker Fischer 154 11 0 12 Aug 2021
Is Disentanglement enough? On Latent Representations for Controllable Music Generation Ashis Pati Alexander Lerch CoGe DRL 25 16 0 01 Aug 2021
StyleFusion: A Generative Model for Disentangling Spatial Segments Omer Kafri Or Patashnik Yuval Alaluf Daniel Cohen-Or 26 37 0 15 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 49 17 0 30 Jun 2021
Unsupervised Skill Discovery with Bottleneck Option Learning Jaekyeom Kim Seohong Park Gunhee Kim 32 32 0 27 Jun 2021
Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders M. Ziatdinov C. Wong Sergei V. Kalinin OOD 19 10 0 23 Jun 2021
Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis D. Mohan Qinmin Hu Tian Huey Teh Alexandra Torresquintero C. Wallis Marlene Staib Lorenzo Foglianti Jiameng Gao Simon King 25 16 0 15 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin M. Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 42 77 0 01 Jun 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 30 56 0 29 May 2021
Fair Representations by Compression Xavier Gitiaux Huzefa Rangwala FaML 30 14 0 28 May 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 43 87 0 12 May 2021
Discover the Unknown Biased Attribute of an Image Classifier Zhiheng Li Chenliang Xu 25 50 0 29 Apr 2021
Where and What? Examining Interpretable Disentangled Representations Xinqi Zhu Chang Xu Dacheng Tao FAtt DRL 51 38 0 07 Apr 2021
Causal Hidden Markov Model for Time Series Disease Forecasting Jing Li Botong Wu Xinwei Sun Yizhou Wang CML OOD 18 25 0 30 Mar 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations Pau Rodríguez López Massimo Caccia Alexandre Lacoste L. Zamparo I. Laradji Laurent Charlin David Vazquez AAML 37 55 0 18 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 39 296 0 03 Mar 2021
Learning disentangled representations via product manifold projection Marco Fumero Luca Cosmo Simone Melzi Emanuele Rodolà CoGe DRL 18 22 0 02 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 160 193 0 01 Mar 2021
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving Sirui Xie Xiaojian Ma Peiyu Yu Yixin Zhu Ying Nian Wu Song-Chun Zhu 42 20 0 22 Feb 2021
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View Xuanchi Ren Tao Yang Yuwang Wang W. Zeng CoGe OCL DRL 38 36 0 21 Feb 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework Tao Yang Xuanchi Ren Yuwang Wang W. Zeng Nanning Zheng CoGe DRL 19 27 0 20 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 29 31 0 20 Feb 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 238 208 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
Multichannel-based learning for audio object extraction Daniel Arteaga Jordi Pons DiffM 11 3 0 11 Feb 2021
Counterfactual Generative Networks Axel Sauer Andreas Geiger OOD BDL CML 41 123 0 15 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 48 170 0 13 Jan 2021
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition Zhifeng Hao Di Lv Zijian Li Ruichu Cai Wen Wen Boyan Xu 19 12 0 22 Dec 2020
Measuring Disentanglement: A Review of Metrics M. Carbonneau Julian Zaïdi Jonathan Boilard G. Gagnon CoGe DRL 28 81 0 16 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 28 119 0 03 Dec 2020
Understanding Failures of Deep Networks via Robust Feature Extraction Sahil Singla Besmira Nushi S. Shah Ece Kamar Eric Horvitz FAtt 28 83 0 03 Dec 2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations Andrii Zadaianchuk Maximilian Seitzer Georg Martius SSL OCL 27 41 0 29 Nov 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Michael Niemeyer Andreas Geiger OCL 81 954 0 24 Nov 2020
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation Aditya Sreekar Ujjwal Tiwari A. Namboodiri DRL 26 4 0 17 Nov 2020