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07/17/2023
An Empirical Investigation of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
In the realm of out-of-distribution generalization tasks, finetuning has...
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06/20/2023
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
Understanding the optimization dynamics of neural networks is necessary ...
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11/15/2022
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization
Modern deep learning systems are fragile and do not generalize well unde...
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06/22/2022
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation
It is common in computer vision to be confronted with domain shift: imag...
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03/28/2022