Search Results for author: Mike Li

Found 4 papers, 2 papers with code

Evaluating model performance under worst-case subpopulations

no code implementations NeurIPS 2021 Mike Li, Hongseok Namkoong, Shangzhou Xia

The performance of ML models degrades when the training population is different from that seen under operation.

Robust fine-tuning of zero-shot models

1 code implementation4 Sep 2021 Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt

Compared to standard fine-tuning, WiSE-FT provides large accuracy improvements under distribution shift, while preserving high accuracy on the target distribution.

Transfer Learning

Linear Classifiers Under Infinite Imbalance

no code implementations10 Jun 2021 Paul Glasserman, Mike Li

We study the behavior of linear discriminant functions for binary classification in the infinite-imbalance limit, where the sample size of one class grows without bound while the sample size of the other remains fixed.

Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep Learning

1 code implementation2 Apr 2019 Mike Li, X. Rosalind Wang

We show the model has very good performance (AUC $\sim 1$ for simple data sets and AUC $\sim 0. 85$ for very complex data sets).

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