Identifiable Contrastive Learning with Automatic Feature Importance Discovery

29 October 2023

Papers citing "Identifiable Contrastive Learning with Automatic Feature Importance Discovery"

8 / 8 papers shown

Title
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
On the Role of Discrete Tokenization in Visual Representation Learning Tianqi Du Yifei Wang Yisen Wang 52 7 0 12 Jul 2024
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining Qi Zhang Tianqi Du Haotian Huang Yifei Wang Yisen Wang 36 3 0 01 Jul 2024
InfoNCE: Identifying the Gap Between Theory and Practice E. Rusak Patrik Reizinger Attila Juhos Oliver Bringmann Roland S. Zimmermann Wieland Brendel 33 5 0 28 Jun 2024
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism Zhijian Zhuo Yifei Wang Jinwen Ma Yisen Wang 45 24 0 04 Mar 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 188 453 0 29 Apr 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 223 719 0 12 May 2016