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08/20/2023
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data
Data preprocessing is a crucial step in the machine learning process tha...
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08/02/2023
Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data
In this vision paper, we propose a shift in perspective for improving th...
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06/20/2023
DynaQuant: Compressing Deep Learning Training Checkpoints via Dynamic Quantization
With the increase in the scale of Deep Learning (DL) training workloads ...
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08/24/2020
Approximate Partition Selection for Big-Data Workloads using Summary Statistics
Many big-data clusters store data in large partitions that support acces...
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05/07/2019
CrossTrainer: Practical Domain Adaptation with Loss Reweighting
Domain adaptation provides a powerful set of model training techniques g...
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03/26/2018
Locality-Sensitive Hashing for Earthquake Detection: A Case Study of Scaling Data-Driven Science
In this work, we report on a novel application of Locality Sensitive Has...
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03/26/2018