786 citations · 3k across the 61 of their papers we have counts for
5 papers · 2 filters
Overton: A Data System for Monitoring and Improving Machine-Learned Products
Christopher Ré, Feng Niu, Pallavi Gudipati +1
We describe a system called Overton, whose main design goal is to support engineers in building, monitoring, and improving production machine learning systems. Key challenges engin…
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
Vincent S. Chen, Sen Wu, Zhenzhen Weng +2
In real-world machine learning applications, data subsets correspond to especially critical outcomes: vulnerable cyclist detections are safety-critical in an autonomous driving tas…
On the Downstream Performance of Compressed Word Embeddings
Avner May, Jian Zhang, Tri Dao +1
Compressing word embeddings is important for deploying NLP models in memory-constrained settings. However, understanding what makes compressed embeddings perform well on downstream…
Low-Memory Neural Network Training: A Technical Report
Nimit S. Sohoni, Christopher R. Aberger, Megan Leszczynski +2
Memory is increasingly often the bottleneck when training neural network models. Despite this, techniques to lower the overall memory requirements of training have been less widely…
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations
Tri Dao, Albert Gu, Matthew Eichhorn +2
Fast linear transforms are ubiquitous in machine learning, including the discrete Fourier transform, discrete cosine transform, and other structured transformations such as convolu…