Towards a Definition of Disentangled Representations

5 December 2018

Danilo Jimenez Rezende

Papers citing "Towards a Definition of Disentangled Representations"

42 / 92 papers shown

Title
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 61 19 0 27 Jan 2022
CoNeRF: Controllable Neural Radiance Fields Kacper Kania K. M. Yi Marek Kowalski Tomasz Trzciñski Andrea Tagliasacchi AI4CE 16 77 0 03 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective Yuejiang Liu Riccardo Cadei Jonas Schweizer Sherwin Bahmani Alexandre Alahi OOD TTA 28 51 0 29 Nov 2021
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks Jianbo Jiao João F. Henriques BDL OOD MQ 13 2 0 25 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
Self-Supervised Learning Disentangled Group Representation as Feature Tan Wang Zhongqi Yue Jianqiang Huang Qianru Sun Hanwang Zhang OOD 31 67 0 28 Oct 2021
A moment-matching metric for latent variable generative models Cédric Beaulac 9 1 0 04 Oct 2021
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 33 56 0 07 Sep 2021
Topographic VAEs learn Equivariant Capsules Thomas Anderson Keller Max Welling BDL 36 38 0 03 Sep 2021
Reimagining an autonomous vehicle Jeffrey Hawke E. Haibo Vijay Badrinarayanan Alex Kendall 24 11 0 12 Aug 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 22 10 0 25 Jun 2021
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data Haoyu Song Yan Wang Kaiyan Zhang Weinan Zhang Ting Liu 14 115 0 11 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 27 22 0 07 Jun 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 53 651 0 20 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 158 192 0 01 Mar 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 18 14 0 18 Feb 2021
Formalising Concepts as Grounded Abstractions S. Clark Alexander Lerchner Tamara von Glehn O. Tieleman Richard Tanburn Misha Dashevskiy Matko Bosnjak AI4CE 11 3 0 13 Jan 2021
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 24 104 0 03 Nov 2020
Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter Jonathon S. Hare Adam Prugel-Bennett CoGe DRL 22 20 0 18 Aug 2020
A Commentary on the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD DRL 19 20 0 28 Jul 2020
Data-efficient visuomotor policy training using reinforcement learning and generative models Ali Ghadirzadeh Petra Poklukar Ville Kyrki Danica Kragic Mårten Björkman OffRL 34 9 0 26 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 34 132 0 21 Jul 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 19 73 0 24 Jun 2020
Editing in Style: Uncovering the Local Semantics of GANs Edo Collins R. Bala B. Price Sabine Süsstrunk 28 225 0 29 Apr 2020
A Deeper Look at the Unsupervised Learning of Disentangled Representations in $β$ -VAE from the Perspective of Core Object Recognition Harshvardhan Digvijay Sikka OCL OOD BDL DRL 19 1 0 25 Apr 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 38 44 0 18 Apr 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 14 4 0 13 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
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 24 81 0 02 Jan 2020
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 25 35 0 29 Oct 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 17 136 0 22 Oct 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 11 214 0 30 Sep 2019
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stühmer Richard E. Turner Sebastian Nowozin DRL BDL CoGe 111 25 0 05 Sep 2019
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation Junlin Yang Nicha Dvornek Fan Zhang Juntang Zhuang Julius Chapiro Mingde Lin James S. Duncan FedML OOD MedIm 24 17 0 27 Aug 2019
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 13 93 0 26 Aug 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 27 253 0 19 Jun 2019
Learning Symmetries of Classical Integrable Systems Roberto Bondesan A. Lamacraft 14 39 0 11 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 25 133 0 07 Jun 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 13 499 0 01 Mar 2019
Counterfactuals uncover the modular structure of deep generative models M. Besserve Arash Mehrjou Rémy Sun Bernhard Schölkopf DRL BDL DiffM 11 107 0 08 Dec 2018
Interpretable Neuron Structuring with Graph Spectral Regularization Alexander Tong David van Dijk Jay S. Stanley Matthew Amodio Kristina M. Yim R. Muhle J. Noonan Guy Wolf Smita Krishnaswamy 19 6 0 30 Sep 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas L. Griffiths 21 68 0 12 Jul 2018