Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning

1 March 2024

Papers citing "Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning"

6 / 6 papers shown

Title
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers Chau Pham Bryan A. Plummer 32 3 0 26 May 2024
Disentanglement with Biological Constraints: A Theory of Functional Cell Types James C. R. Whittington W. Dorrell Surya Ganguli Timothy Edward John Behrens 34 39 0 30 Sep 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 117 41 0 28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 290 7,434 0 11 Nov 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 30 16 0 12 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 303 5,773 0 29 Apr 2021