Weakly Supervised Disentanglement with Guarantees

22 October 2019

Papers citing "Weakly Supervised Disentanglement with Guarantees"

44 / 94 papers shown

Title
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 61 19 0 27 Jan 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 33 7 0 29 Dec 2021
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models Alon Jacovi Junyoung Lee Alexander Lerch DRL 14 1 0 20 Dec 2021
On Causally Disentangled Representations Abbavaram Gowtham Reddy Benin Godfrey L V. Balasubramanian OOD CML 31 21 0 10 Dec 2021
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations Wolfgang Stammer Marius Memmel P. Schramowski Kristian Kersting 91 26 0 04 Dec 2021
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning Kartik Ahuja Jason S. Hartford Yoshua Bengio 26 38 0 29 Oct 2021
Controllable Data Augmentation Through Deep Relighting G. Chogovadze Rémi Pautrat Marc Pollefeys ViT 17 4 0 26 Oct 2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization Linh-Tam Tran Amir Hosein Khasahmadi Aditya Sanghi Saeid Asgari Taghanaki DRL 31 1 0 23 Oct 2021
Boxhead: A Dataset for Learning Hierarchical Representations Yukun Chen Andrea Dittadi Frederik Trauble Stefan Bauer Bernhard Schölkopf CML 96 2 0 07 Oct 2021
DAReN: A Collaborative Approach Towards Reasoning And Disentangling Pritish Sahu Kalliopi Basioti Vladimir Pavlovic 33 1 0 27 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 80 0 08 Sep 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 35 66 0 17 Jul 2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) Michael A. Hedderich Benjamin Roth Katharina Kann Barbara Plank Alex Ratner Dietrich Klakow 11 0 0 08 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb Stefan Bauer M. Besserve Bernhard Schölkopf DRL 46 17 0 30 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style Julius von Kügelgen Yash Sharma Luigi Gresele Wieland Brendel Bernhard Schölkopf M. Besserve Francesco Locatello 19 302 0 08 Jun 2021
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals Asma Ghandeharioun Been Kim Chun-Liang Li Brendan Jou B. Eoff Rosalind W. Picard AAML 25 53 0 31 May 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts M. Vowels Necati Cihan Camgöz Richard Bowden CoGe 22 8 0 12 Mar 2021
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network Lili Pan Peijun Tang Zhiyong Chen Zenglin Xu GAN DRL 11 6 0 05 Mar 2021
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision Kieran A. Murphy Varun Jampani Srikumar Ramalingam A. Makadia 8 2 0 04 Mar 2021
Learning disentangled representations via product manifold projection Marco Fumero Luca Cosmo Simone Melzi Emanuele Rodolà CoGe DRL 14 22 0 02 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 32 317 0 22 Feb 2021
Addressing the Topological Defects of Disentanglement via Distributed Operators Diane Bouchacourt Mark Ibrahim Stéphane Deny 11 22 0 10 Feb 2021
Video Reenactment as Inductive Bias for Content-Motion Disentanglement Juan Felipe Hernandez Albarracin Adín Ramirez Rivera 22 2 0 30 Jan 2021
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision Harald Stromfelt Luke Dickens Artur Garcez A. Russo DRL 6 2 0 13 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 29 104 0 03 Nov 2020
On the Transfer of Disentangled Representations in Realistic Settings Andrea Dittadi Frederik Trauble Francesco Locatello M. Wuthrich Vaibhav Agrawal Ole Winther Stefan Bauer Bernhard Schölkopf OOD 30 80 0 27 Oct 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 9 66 0 27 Oct 2020
An Identifiable Double VAE For Disentangled Representations Graziano Mita Maurizio Filippone Pietro Michiardi CoGe DRL 18 0 0 19 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 20 779 0 24 Sep 2020
DynamicVAE: Decoupling Reconstruction Error and Disentangled Representation Learning Huajie Shao Haohong Lin Qinmin Yang Shuochao Yao Han Zhao Tarek F. Abdelzaher DRL 14 0 0 15 Sep 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets Alexandre Lacoste Pau Rodríguez Frederic Branchaud-Charron Parmida Atighehchian Massimo Caccia I. Laradji Alexandre Drouin Matt Craddock Laurent Charlin David Vázquez 23 14 0 14 Sep 2020
Measuring the Biases and Effectiveness of Content-Style Disentanglement Xiao Liu Spyridon Thermos Gabriele Valvano A. Chartsias Alison Q. OÑeil Sotirios A. Tsaftaris CoGe DRL 19 18 0 27 Aug 2020
Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling Hao Hao Tan Dorien Herremans MGen 9 72 0 29 Jul 2020
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding David A. Klindt Lukas Schott Yash Sharma Ivan Ustyuzhaninov Wieland Brendel Matthias Bethge Dylan M. Paiton CML 42 132 0 21 Jul 2020
On Disentangled Representations Learned From Correlated Data Frederik Trauble Elliot Creager Niki Kilbertus Francesco Locatello Andrea Dittadi Anirudh Goyal Bernhard Schölkopf Stefan Bauer OOD CML 29 115 0 14 Jun 2020
Structure by Architecture: Structured Representations without Regularization Felix Leeb Giulia Lanzillotta Yashas Annadani M. Besserve Stefan Bauer Bernhard Schölkopf OOD CML 38 8 0 14 Jun 2020
An Improved Semi-Supervised VAE for Learning Disentangled Representations Weili Nie Zichao Wang Ankit B. Patel Richard G. Baraniuk CoGe DRL 19 4 0 12 Jun 2020
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology Sharon Zhou E. Zelikman F. Lu A. Ng Gunnar Carlsson Stefano Ermon DRL 11 27 0 05 Jun 2020
Robust Face Verification via Disentangled Representations Marius Arvinte Ahmed H. Tewfik S. Vishwanath CVBM 14 1 0 05 Jun 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 6 26 0 06 Apr 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 21 21 0 26 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 178 313 0 07 Feb 2020
Disentanglement based Active Learning S. SilpaV K. Adarsh S. Sumitra DRL 16 0 0 15 Dec 2019
No Representation without Transformation Giorgio Giannone Saeed Saremi Jonathan Masci Christian Osendorfer BDL DRL 9 2 0 09 Dec 2019