ResearchTrend.AI
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
v1v2v3 (latest)

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression

Runtian Zhai
Bing Liu
Andrej Risteski
Zico Kolter
Pradeep Ravikumar
    SSL
ArXiv (abs)PDFHTML

Papers citing "Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression"

3 / 3 papers shown
Title
Contextures: Representations from Contexts
Contextures: Representations from Contexts
Runtian Zhai
Kai Yang
Che-Ping Tsai
Burak Varici
Zico Kolter
Pradeep Ravikumar
451
0
0
02 May 2025
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
Taj Jones-McCormick
Aukosh Jagannath
S. Sen
131
0
0
24 Feb 2025
InfoNCE: Identifying the Gap Between Theory and Practice
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
149
11
0
28 Jun 2024

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.