6 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 4 cited
Predicting on the Edge: Identifying Where a Larger Model Does Better
Taman Narayan, Heinrich Jiang, Sen Zhao +1
Much effort has been devoted to making large and more accurate models, but relatively little has been put into understanding which examples are benefiting from the added complexity…
stat.ML2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks
Lang Liu, Mahdi Milani Fard, Sen Zhao
We propose Distribution Embedding Networks (DEN) for classification with small data. In the same spirit of meta-learning, DEN learns from a diverse set of training tasks with the g…
stat.ML2018★ 6 cited
Metric-Optimized Example Weights
Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan +1
Real-world machine learning applications often have complex test metrics, and may have training and test data that are not identically distributed. Motivated by known connections b…