21 citations · 30 across the 9 of their papers we have counts for
3 papers · 1 filter
Test-Time Training for Speech
Sri Harsha Dumpala, Chandramouli Sastry, Sageev Oore
In this paper, we study the application of Test-Time Training (TTT) as a solution to handling distribution shifts in speech applications. In particular, we introduce distribution-s…
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
Chandramouli Sastry, Sri Harsha Dumpala, Sageev Oore
We introduce DiffAug, a simple and efficient diffusion-based augmentation technique to train image classifiers for the crucial yet challenging goal of improved classifier robustnes…
Benchmarking Neural Network Training Algorithms
George E. Dahl, Frank Schneider, Zachary Nado +22
Training algorithms, broadly construed, are an essential part of every deep learning pipeline. Training algorithm improvements that speed up training across a wide variety of workl…