Leveraging sparse and shared feature activations for disentangled
representation learning

Leveraging sparse and shared feature activations for disentangled representation learning

17 April 2023

Alessandro Achille

Emanuele Rodolà

Bernhard Schölkopf

Francesco Locatello

Papers citing "Leveraging sparse and shared feature activations for disentangled representation learning"

12 / 12 papers shown

Title
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 634 0 0 09 Apr 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 61 2 0 16 Feb 2025
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
Sparsity regularization via tree-structured environments for disentangled representations Elliot Layne Jason S. Hartford Sébastien Lachapelle Mathieu Blanchette Dhanya Sridhar OOD CML 33 0 0 30 May 2024
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 126 32 0 04 Jul 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Yizhou Sun Ed H. Chi OOD LRM 93 29 0 19 May 2022
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 61 69 0 09 Nov 2021
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 227 202 0 21 Oct 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 371 0 09 May 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,332 0 28 May 2015