BriefGPT.xyz
Jan, 2022
相似性与泛化:从噪音到污染
Similarity and Generalization: From Noise to Corruption
HTML
PDF
Nayara Fonseca, Veronica Guidetti
TL;DR
本文研究对比学习中的噪声问题,特别是 Siamese 神经网络的双重下降问题、匹配标签噪声和单标签噪声对网络泛化的影响,并发现密集数据集下的密度诱导相似性破裂现象。
Abstract
contrastive learning
aims to extract distinctive features from data by finding an embedding representation where similar samples are close to each other, and different ones are far apart. We study generalization in
cont
→