Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning

16 December 2022

Papers citing "Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning"

6 / 6 papers shown

Title
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking Ilqar Ramazanli Hamid Eghbalzadeh Xiaoyi Liu Yang Wang Jiaxiang Fu Kaushik Rangadurai Sem Park Bo Long Xue Feng 51 0 0 05 Feb 2025
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training Sanghwan Kim Rui Xiao Mariana-Iuliana Georgescu Stephan Alaniz Zeynep Akata VLM 76 2 0 02 Dec 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
Task Ambiguity in Humans and Language Models Alex Tamkin Kunal Handa Ava Shrestha Noah D. Goodman UQLM 44 22 0 20 Dec 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 152 371 0 09 May 2020