18 citations · 135 across the 42 of their papers we have counts for
Showing 2023 · cs.LGShow all
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cs.LG2023★ 1 cited
Outlier-Robust Gromov-Wasserstein for Graph Data
Lemin Kong, Jiajin Li, Jianheng Tang +1
Gromov-Wasserstein (GW) distance is a powerful tool for comparing and aligning probability distributions supported on different metric spaces. Recently, GW has become the main mode…
cs.LG2023★ 2 cited
A Stability Analysis of Fine-Tuning a Pre-Trained Model
Zihao Fu, Anthony Man-Cho So, Nigel Collier
Fine-tuning a pre-trained model (such as BERT, ALBERT, RoBERTa, T5, GPT, etc.) has proven to be one of the most promising paradigms in recent NLP research. However, numerous recent…