Weakly Supervised Disentanglement with Guarantees

22 October 2019

Papers citing "Weakly Supervised Disentanglement with Guarantees"

50 / 94 papers shown

Title
On the Identifiability of Causal Abstractions Xiusi Li Sékou-Oumar Kaba Siamak Ravanbakhsh CML 64 0 0 13 Mar 2025
Symbolic Disentangled Representations for Images Alexandr Korchemnyi A. Kovalev Aleksandr I. Panov OCL 49 0 0 31 Dec 2024
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations Laura O'Mahony Nikola S. Nikolov David JP O'Sullivan 28 0 0 15 Nov 2024
Unpicking Data at the Seams: Understanding Disentanglement in VAEs Carl Allen CML CoGe 30 0 0 29 Oct 2024
Structural Causality-based Generalizable Concept Discovery Models Sanchit Sinha Guangzhi Xiong Aidong Zhang CML DRL 26 0 0 20 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
Transferring disentangled representations: bridging the gap between synthetic and real images Jacopo Dapueto Nicoletta Noceti Francesca Odone OOD 23 0 0 26 Sep 2024
CoLiDR: Concept Learning using Aggregated Disentangled Representations Sanchit Sinha Guangzhi Xiong Aidong Zhang 29 0 0 27 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 35 1 0 30 Jun 2024
Neural Concept Binder Wolfgang Stammer Antonia Wüst David Steinmann Kristian Kersting OCL 34 4 0 14 Jun 2024
3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior Guohao Li Hongyu Yang Di Huang Yun Wang CVBM CoGe 28 0 0 25 Apr 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 29 5 0 21 Mar 2024
Causal Prototype-inspired Contrast Adaptation for Unsupervised Domain Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery Jingru Zhu Ya Guo Geng Sun Liang Hong Jie Chen 32 3 0 06 Mar 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 43 4 0 06 Mar 2024
Double InfoGAN for Contrastive Analysis Florence Carton Robin Louiset Pietro Gori 13 3 0 31 Jan 2024
Diffusion Based Causal Representation Learning Amir Mohammad Karimi Mamaghan Andrea Dittadi Stefan Bauer Karl Henrik Johansson Francesco Quinzan CML DiffM 27 0 0 09 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 31 4 0 08 Nov 2023
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings Yi Ren Samuel Lavoie Mikhail Galkin Danica J. Sutherland Aaron Courville 35 15 0 28 Oct 2023
General Identifiability and Achievability for Causal Representation Learning Burak Varici Emre Acartürk Karthikeyan Shanmugam A. Tajer CML 37 16 0 24 Oct 2023
Provable Compositional Generalization for Object-Centric Learning Thaddäus Wiedemer Jack Brady Alexander Panfilov Attila Juhos Matthias Bethge Wieland Brendel OCL 32 17 0 09 Oct 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning Emanuele Marconato Andrea Passerini Stefano Teso 30 13 0 14 Sep 2023
Learning Disentangled Discrete Representations David Friede Christian Reimers Heiner Stuckenschmidt Mathias Niepert CoGe OCL OOD DRL 18 0 0 26 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 23 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
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts Emanuele Marconato Stefano Teso Antonio Vergari Andrea Passerini 32 30 0 31 May 2023
Disentanglement via Latent Quantization Kyle Hsu W. Dorrell James C. R. Whittington Jiajun Wu Chelsea Finn DRL 23 24 0 28 May 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 20 17 0 23 May 2023
Disentangled Variational Autoencoder for Emotion Recognition in Conversations Kailai Yang Tianlin Zhang Sophia Ananiadou DRL 21 11 0 23 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 22 1 0 19 May 2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement Yivan Zhang Masashi Sugiyama 28 3 0 11 May 2023
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires Melanie F. Pradier Niranjani Prasad Paidamoyo Chapfuwa Sahra Ghalebikesabi Maximilian Ilse ... R. Elyanow Javier Zazo Javier González J. Greissl Edward Meeds 21 7 0 26 Apr 2023
Identifiability Results for Multimodal Contrastive Learning Imant Daunhawer Alice Bizeul Emanuele Palumbo Alexander Marx Julia E. Vogt 32 38 0 16 Mar 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 41 25 0 02 Mar 2023
Representation Disentaglement via Regularization by Causal Identification Juan Castorena OOD CML 23 0 0 28 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 24 7 0 20 Feb 2023
Score-based Causal Representation Learning with Interventions Burak Varici Emre Acartürk Karthikeyan Shanmugam Abhishek Kumar A. Tajer CML 33 38 0 19 Jan 2023
Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder Zahra Rahiminasab Michael Yuhas Arvind Easwaran CoGe OOD CML DRL LRM 20 1 0 18 Oct 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 42 1 0 03 Aug 2022
On the Versatile Uses of Partial Distance Correlation in Deep Learning Xingjian Zhen Zihang Meng Rudrasis Chakraborty Vikas Singh OODD 34 28 0 20 Jul 2022
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 13 18 0 12 Jul 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 106 64 0 31 May 2022
Learning and controlling the source-filter representation of speech with a variational autoencoder Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier SSL DRL BDL 30 14 0 14 Apr 2022
Towards efficient representation identification in supervised learning Kartik Ahuja Divyat Mahajan Vasilis Syrgkanis Ioannis Mitliagkas CoGe OOD DRL 29 18 0 10 Apr 2022
Learning Disentangled Representations of Negation and Uncertainty J. Vasilakes Chrysoula Zerva Makoto Miwa Sophia Ananiadou SSL OOD UD CoGe DRL 15 16 0 01 Apr 2022
Provable concept learning for interpretable predictions using variational autoencoders Armeen Taeb Nicolò Ruggeri Carina Schnuck Fanny Yang 67 5 0 01 Apr 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 30 160 0 27 Mar 2022
The Transitive Information Theory and its Application to Deep Generative Models Trung Ngo Trong Najwa Laabid Ville Hautamaki M. Heinäniemi DRL 33 0 0 09 Mar 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