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ORCIDDavis W. Blalock
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2020 – today
- 2024
[c8]Zachary Ankner, Naomi Saphra, Davis W. Blalock, Jonathan Frankle, Matthew L. Leavitt:
Dynamic Masking Rate Schedules for MLM Pretraining. EACL (2) 2024: 477-487- 2023
- [j3]Brian R. Bartoldson, Bhavya Kailkhura, Davis W. Blalock:
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities. J. Mach. Learn. Res. 24: 122:1-122:77 (2023) - [i11]Zachary Ankner, Naomi Saphra, Davis W. Blalock, Jonathan Frankle, Matthew L. Leavitt:
Dynamic Masking Rate Schedules for MLM Pretraining. CoRR abs/2305.15096 (2023) - 2022
- [c7]Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour:
Causally motivated shortcut removal using auxiliary labels. AISTATS 2022: 739-766 - [i10]Jacob Portes
, Davis W. Blalock, Cory Stephenson, Jonathan Frankle:
Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates. CoRR abs/2206.00832 (2022) - [i9]Brian R. Bartoldson, Bhavya Kailkhura, Davis W. Blalock:
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities. CoRR abs/2210.06640 (2022) - 2021
- [c6]Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag:
Better Aggregation in Test-Time Augmentation. ICCV 2021: 1194-1203 - [c5]Davis W. Blalock, John V. Guttag:
Multiplying Matrices Without Multiplying. ICML 2021: 992-1004 - [i8]Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour:
Causally-motivated Shortcut Removal Using Auxiliary Labels. CoRR abs/2105.06422 (2021) - [i7]Davis W. Blalock, John V. Guttag:
Multiplying Matrices Without Multiplying. CoRR abs/2106.10860 (2021) - 2020
- [c4]Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag:
What is the State of Neural Network Pruning? MLSys 2020 - [i6]Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, John V. Guttag:
What is the State of Neural Network Pruning? CoRR abs/2003.03033 (2020) - [i5]Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag:
When and Why Test-Time Augmentation Works. CoRR abs/2011.11156 (2020)
2010 – 2019
- 2019
- [c3]Divya Shanmugam, Davis W. Blalock, John V. Guttag:
Multiple Instance Learning for ECG Risk Stratification. MLHC 2019: 124-139 - 2018
- [j2]Davis W. Blalock, Samuel Madden, John V. Guttag:
Sprintz: Time Series Compression for the Internet of Things. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 93:1-93:23 (2018) - [i4]Davis W. Blalock, Samuel Madden, John V. Guttag:
Sprintz: Time Series Compression for the Internet of Things. CoRR abs/1808.02515 (2018) - [i3]Divya Shanmugam, Davis W. Blalock, Jen J. Gong, John V. Guttag:
Multiple Instance Learning for ECG Risk Stratification. CoRR abs/1812.00475 (2018) - 2017
- [c2]Davis W. Blalock, John V. Guttag:
Bolt: Accelerated Data Mining with Fast Vector Compression. KDD 2017: 727-735 - [i2]Davis W. Blalock, John V. Guttag:
Bolt: Accelerated Data Mining with Fast Vector Compression. CoRR abs/1706.10283 (2017) - 2016
- [c1]Davis W. Blalock, John V. Guttag:
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data. ICDM 2016: 799-804 - [i1]Davis W. Blalock, John V. Guttag:
EXTRACT: Strong Examples from Weakly-Labeled Sensor Data. CoRR abs/1609.09196 (2016) - 2015
- [j1]Blake T. Thomas, Davis W. Blalock, William B. Levy:
Adaptive Synaptogenesis Constructs Neural Codes That Benefit Discrimination. PLoS Comput. Biol. 11(7) (2015)
Coauthor Index
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