Davis W. Blalock

According to our database, Davis W. Blalock authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dynamic Masking Rate Schedules for MLM Pretraining.

Zachary Ankner, Naomi Saphra, Davis W. Blalock, Jonathan Frankle, Matthew L. Leavitt

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities.

Brian R. Bartoldson, Bhavya Kailkhura, Davis W. Blalock

J. Mach. Learn. Res., 2023

2022

Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates.

Jacob Portes, Davis W. Blalock, Cory Stephenson, Jonathan Frankle

CoRR, 2022

Causally motivated shortcut removal using auxiliary labels.

Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Multiplying Matrices Without Multiplying.

Davis W. Blalock, John V. Guttag

Proceedings of the 38th International Conference on Machine Learning, 2021

Better Aggregation in Test-Time Augmentation.

Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

When and Why Test-Time Augmentation Works.

Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag

CoRR, 2020

What is the State of Neural Network Pruning?

Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag

Proceedings of Machine Learning and Systems 2020, 2020

2019

Multiple Instance Learning for ECG Risk Stratification.

Divya Shanmugam, Davis W. Blalock, John V. Guttag

Proceedings of the Machine Learning for Healthcare Conference, 2019

2018

Sprintz: Time Series Compression for the Internet of Things.

Davis W. Blalock, Samuel Madden, John V. Guttag

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Multiple Instance Learning for ECG Risk Stratification.

Divya Shanmugam, Davis W. Blalock, Jen J. Gong, John V. Guttag

CoRR, 2018

2017

Bolt: Accelerated Data Mining with Fast Vector Compression.

Davis W. Blalock, John V. Guttag

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

EXTRACT: Strong Examples from Weakly-Labeled Sensor Data.

Davis W. Blalock, John V. Guttag

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Adaptive Synaptogenesis Constructs Neural Codes That Benefit Discrimination.

Blake T. Thomas, Davis W. Blalock, William B. Levy

PLoS Comput. Biol., 2015