2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023
On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion
Yushu Li, Xun Xu, Yongyi Su +1
Generalizing deep learning models to unknown target domain distribution with low latency has motivated research into test-time training/adaptation (TTT/TTA). Existing approaches of…
stat.ML2020★ 2 cited
Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings
Bowen Yuan, Yu-Sheng Li, Pengrui Quan +1
We study the problem of learning similarity by using nonlinear embedding models (e.g., neural networks) from all possible pairs. This problem is well-known for its difficulty of tr…