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 / 343 papers shown

Title
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
Weakly Supervised Representation Learning with Sparse Perturbations Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 35 58 0 02 Jun 2022
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering João Machado de Freitas Sebastian Berg Bernhard C. Geiger Manfred Mücke 16 1 0 31 May 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 106 64 0 31 May 2022
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision Manuel Traub S. Otte Tobias Menge Matthias Karlbauer Jannik Thummel Martin Volker Butz 34 20 0 26 May 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 32 12 0 24 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
Leveraging Relational Information for Learning Weakly Disentangled Representations Andrea Valenti D. Bacciu CoGe DRL 35 5 0 20 May 2022
How do Variational Autoencoders Learn? Insights from Representational Similarity Lisa Bonheme M. Grzes CoGe SSL DRL 35 10 0 17 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 19 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 26 14 0 10 May 2022
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation Haiwen Feng Timo Bolkart J. Tesch Michael J. Black Victoria Fernandez-Abrevaya 21 39 0 08 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 38 78 0 06 May 2022
BlobGAN: Spatially Disentangled Scene Representations Dave Epstein Taesung Park Richard Y. Zhang Eli Shechtman Alexei A. Efros GAN SSL OCL 37 42 0 05 May 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei Hengguan Huang Xiangming Gu Hao Wang Ye Wang BDL 27 0 0 05 May 2022
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning Xiaojian Ma Weili Nie Zhiding Yu Huaizu Jiang Chaowei Xiao Yuke Zhu Song-Chun Zhu Anima Anandkumar ViT LRM 30 19 0 24 Apr 2022
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models Ali Ghadirzadeh Petra Poklukar Karol Arndt Chelsea Finn Ville Kyrki Danica Kragic Mårten Björkman OffRL 22 1 0 18 Apr 2022
Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data John Lim Jan-Michael Frahm Fabian Monrose AAML 75 0 0 05 Apr 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 32 45 0 01 Apr 2022
Weakly supervised causal representation learning Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 39 121 0 30 Mar 2022
StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis Zhiheng Li Martin Renqiang Min Keqin Li Chenliang Xu EGVM 38 39 0 29 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud Karsten Roth Kimia Hamidieh Nicolas Papernot Marzyeh Ghassemi 35 15 0 23 Mar 2022
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 43 39 0 20 Mar 2022
Symmetry-Based Representations for Artificial and Biological General Intelligence I. Higgins S. Racanière Danilo Jimenez Rezende AI4CE 31 44 0 17 Mar 2022
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations Yiwei Lyu Paul Pu Liang Zihao Deng Ruslan Salakhutdinov Louis-Philippe Morency 24 31 0 03 Mar 2022
Learning Group Importance using the Differentiable Hypergeometric Distribution Thomas M. Sutter Laura Manduchi Alain Ryser Julia E. Vogt 44 7 0 03 Mar 2022
Disentangled Spatiotemporal Graph Generative Models Yuanqi Du Xiaojie Guo Hengning Cao Yanfang Ye Liang Zhao 31 21 0 28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints Yuanqi Du Xiaojie Guo Amarda Shehu Liang Zhao 68 19 0 28 Feb 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 22 1 0 25 Feb 2022
Exploring Multi-Modal Representations for Ambiguity Detection & Coreference Resolution in the SIMMC 2.0 Challenge Javier Chiyah-Garcia Alessandro Suglia José Lopes Arash Eshghi Helen F. Hastie 24 8 0 25 Feb 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 42 25 0 25 Feb 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 53 17 0 23 Feb 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 17 0 0 14 Feb 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 46 101 0 07 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement Xiaoting Shao Karl Stelzner Kristian Kersting CML DRL 29 3 0 01 Feb 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 65 19 0 27 Jan 2022
Noise-robust voice conversion with domain adversarial training Hongqiang Du Lei Xie Haizhou Li 19 11 0 26 Jan 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 39 7 0 29 Dec 2021
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models Alon Jacovi Junyoung Lee Alexander Lerch DRL 23 1 0 20 Dec 2021
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 34 21 0 10 Dec 2021
Causal Imitative Model for Autonomous Driving Mohammad Reza Samsami Mohammadhossein Bahari Saber Salehkaleybar Alexandre Alahi CML 21 12 0 07 Dec 2021
VAE based Text Style Transfer with Pivot Words Enhancement Learning Haoran Xu Sixing Lu Zhongkai Sun Chengyuan Ma Chenlei Guo 21 10 0 06 Dec 2021
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation Hrishikesh Sharma Pandaba Pradhan P. Balamuralidhar 33 6 0 02 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 38 51 0 29 Nov 2021
Encoding Causal Macrovariables Benedikt Höltgen CML 19 3 0 29 Nov 2021
Learning Conditional Invariance through Cycle Consistency M. Samarin V. Nesterov Mario Wieser Aleksander Wieczorek S. Parbhoo Volker Roth 41 3 0 25 Nov 2021
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication Lukasz Kuciñski Tomasz Korbak P. Kołodziej Piotr Milo's 63 19 0 11 Nov 2021
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning Kartik Ahuja Jason S. Hartford Yoshua Bengio 34 38 0 29 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 36 67 0 28 Oct 2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization Linh-Tam Tran Amir Hosein Khasahmadi Aditya Sanghi Saeid Asgari Taghanaki DRL 34 1 0 23 Oct 2021