Weakly-Supervised Disentanglement Without Compromises

7 February 2020

Francesco Locatello

Olivier Bachem

Papers citing "Weakly-Supervised Disentanglement Without Compromises"

50 / 63 papers shown

Title
Cross-Entropy Is All You Need To Invert the Data Generating Process Patrik Reizinger Alice Bizeul Attila Juhos Julia E. Vogt Randall Balestriero Wieland Brendel David Klindt SSL OOD BDL DRL 102 3 0 29 Oct 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 Oct 2024
Analyzing (In)Abilities of SAEs via Formal Languages Abhinav Menon Manish Shrivastava David M. Krueger Ekdeep Singh Lubana 42 7 0 15 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 29 0 0 07 Oct 2024
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei Lukas Lindorfer Sylvia Cremer Cordelia Schmid Francesco Locatello CML 30 3 0 27 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Zeen Song Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Wenwen Qiang CML BDL VLM 35 0 0 24 May 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 40 4 0 06 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 31 4 0 08 Nov 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 33 9 0 24 Oct 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 26 0 0 13 Oct 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 26 2 0 05 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 20 6 0 02 Jul 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 18 56 0 01 Jun 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 39 3 0 26 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 23 11 0 05 May 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 19 7 0 20 Feb 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning Yuejiang Liu Alexandre Alahi Chris Russell Max Horn Dominik Zietlow Bernhard Schölkopf Francesco Locatello CML 56 22 0 12 Jan 2023
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 32 77 0 21 Nov 2022
Distilling Representations from GAN Generator via Squeeze and Span Yu Yang Xiaotian Cheng Chang-rui Liu Hakan Bilen Xiang Ji GAN 29 0 0 06 Nov 2022
Robust Self-Supervised Learning with Lie Groups Mark Ibrahim Diane Bouchacourt Ari S. Morcos SSL OOD 33 6 0 24 Oct 2022
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping Jiageng Zhu Hanchen Xie Wael AbdAlmageed SSL CoGe DRL 30 4 0 21 Sep 2022
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors Jiageng Zhu Hanchen Xie Wael AbdAlmageed 16 1 0 15 Sep 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning F. Wenzel Andrea Dittadi Peter V. Gehler Carl-Johann Simon-Gabriel Max Horn ... Chris Russell Thomas Brox Bernt Schiele Bernhard Schölkopf Francesco Locatello OOD OODD AAML 49 71 0 19 Jul 2022
Equivariant Representation Learning via Class-Pose Decomposition G. Marchetti Gustaf Tegnér Anastasiia Varava Danica Kragic DRL 29 14 0 07 Jul 2022
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations Avinash Kori Ben Glocker Francesca Toni 24 6 0 05 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 123 32 0 04 Jul 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 50 10 0 28 Jun 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 23 48 0 20 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 30 19 0 06 Jun 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 41 48 0 04 Jun 2022
Weakly Supervised Representation Learning with Sparse Perturbations Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 35 58 0 02 Jun 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 21 12 0 24 May 2022
Leveraging Relational Information for Learning Weakly Disentangled Representations Andrea Valenti D. Bacciu CoGe DRL 27 5 0 20 May 2022
Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning Nathan Michlo Devon Jarvis Richard Klein Steven D. James DRL OffRL 11 0 0 12 May 2022
Disentangling A Single MR Modality Lianrui Zuo Yihao Liu Yuan Xue Shuo Han M. Bilgel Susan M. Resnick Jerry L. Prince A. Carass 19 14 0 10 May 2022
Weakly supervised causal representation learning Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 30 120 0 30 Mar 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 27 160 0 27 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 24 44 0 17 Mar 2022
Active Learning by Feature Mixing Amin Parvaneh Ehsan Abbasnejad Damien Teney Reza Haffari A. Hengel Javen Qinfeng Shi 27 89 0 14 Mar 2022
Learning Group Importance using the Differentiable Hypergeometric Distribution Thomas M. Sutter Laura Manduchi Alain Ryser Julia E. Vogt 36 7 0 03 Mar 2022
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective" Shubhangi Ghosh Luigi Gresele Julius von Kügelgen M. Besserve Bernhard Schölkopf CML 15 0 0 14 Feb 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences Phillip Lippe Sara Magliacane Sindy Lowe Yuki M. Asano Taco S. Cohen E. Gavves CML 40 101 0 07 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement Xiaoting Shao Karl Stelzner Kristian Kersting CML DRL 22 3 0 01 Feb 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 31 7 0 29 Dec 2021
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 26 21 0 10 Dec 2021
Unsupervised Learning of Compositional Energy Concepts Yilun Du Shuang Li Yash Sharma J. Tenenbaum Igor Mordatch CoGe OCL 16 76 0 04 Nov 2021
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning Kartik Ahuja Jason S. Hartford Yoshua Bengio 21 38 0 29 Oct 2021
SpectroscopyNet: Learning to pre-process Spectroscopy Signals without clean data Juan Castorena Diane Oyen 11 0 0 26 Oct 2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization Linh-Tam Tran Amir Hosein Khasahmadi Aditya Sanghi Saeid Asgari Taghanaki DRL 27 1 0 23 Oct 2021