4 citations · 6 across the 6 of their papers we have counts for
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cs.LG2024★ 4 cited
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Shuo Lu, Yingsheng Wang, Lijun Sheng +3
Out-of-distribution (OOD) detection aims to detect test samples outside the training category space, which is an essential component in building reliable machine learning systems.…
cs.LG2024★ 2 cited
Which Model to Transfer? A Survey on Transferability Estimation
Yuhe Ding, Bo Jiang, Aijing Yu +2
Transfer learning methods endeavor to leverage relevant knowledge from existing source pre-trained models or datasets to solve downstream target tasks. With the increase in the sca…
cs.LG2023
Unleashing the power of Neural Collapse for Transferability Estimation
Yuhe Ding, Bo Jiang, Lijun Sheng +2
Transferability estimation aims to provide heuristics for quantifying how suitable a pre-trained model is for a specific downstream task, without fine-tuning them all. Prior studie…