297 citations · 555 across the 36 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2021
Sharpness-Aware Minimization with Dynamic Reweighting
Wenxuan Zhou, Fangyu Liu, Huan Zhang +1
Deep neural networks are often overparameterized and may not easily achieve model generalization. Adversarial training has shown effectiveness in improving generalization by regula…
cs.LG2019★ 2 cited
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs
Fangyu Liu, Rongtian Ye, Xun Wang +1
The hubness problem widely exists in high-dimensional embedding space and is a fundamental source of error for cross-modal matching tasks. In this work, we study the emergence of h…
cs.LG2019★ 1 cited
A Strong and Robust Baseline for Text-Image Matching
Fangyu Liu, Rongtian Ye
We review the current schemes of text-image matching models and propose improvements for both training and inference. First, we empirically show limitations of two popular loss (su…