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04/30/2023
The ART of Transfer Learning: An Adaptive and Robust Pipeline
Transfer learning is an essential tool for improving the performance of ...
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10/28/2021
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
The Transformer architecture has improved the performance of deep learni...
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05/30/2021
2.5-dimensional distributed model training
Data parallelism does a good job in speeding up the training. However, w...
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05/30/2021
Maximizing Parallelism in Distributed Training for Huge Neural Networks
The recent Natural Language Processing techniques have been refreshing t...
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05/06/2021
Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning
We propose Partially Interpretable Estimators (PIE) which attribute a pr...
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03/31/2019
Sparse Tensor Additive Regression
Tensors are becoming prevalent in modern applications such as medical im...
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08/24/2015
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS
Distance weighted discrimination (DWD) is a margin-based classifier with...
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01/24/2015
