Blalock, Davis

7 publications

ICML 2025 $\mathrmμ$nit Scaling: Simple and Scalable FP8 LLM Training Saaketh Narayan, Abhay Gupta, Mansheej Paul, Davis Blalock

JMLR 2023 Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian R. Bartoldson, Bhavya Kailkhura, Davis Blalock

AISTATS 2022 Causally Motivated Shortcut Removal Using Auxiliary Labels Maggie Makar, Ben Packer, Dan Moldovan, Davis Blalock, Yoni Halpern, Alexander D’Amour

NeurIPSW 2022 Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates Jacob Portes, Davis Blalock, Cory Stephenson, Jonathan Frankle

ICCV 2021 Better Aggregation in Test-Time Augmentation Divya Shanmugam, Davis Blalock, Guha Balakrishnan, John Guttag

ICML 2021 Multiplying Matrices Without Multiplying Davis Blalock, John Guttag

MLHC 2019 Multiple Instance Learning for ECG Risk Stratification Divya Shanmugam, Davis Blalock, John Guttag