Davis W. Blalock

According to our database1, Davis W. Blalock authored at least 14 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Dynamic Masking Rate Schedules for MLM Pretraining.
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.
J. Mach. Learn. Res., 2023

2022
Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates.
CoRR, 2022

Causally motivated shortcut removal using auxiliary labels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Multiplying Matrices Without Multiplying.
Proceedings of the 38th International Conference on Machine Learning, 2021

Better Aggregation in Test-Time Augmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
When and Why Test-Time Augmentation Works.
CoRR, 2020

What is the State of Neural Network Pruning?
Proceedings of the Third Conference on Machine Learning and Systems, 2020

2019
Multiple Instance Learning for ECG Risk Stratification.
Proceedings of the Machine Learning for Healthcare Conference, 2019

2018
Sprintz: Time Series Compression for the Internet of Things.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Multiple Instance Learning for ECG Risk Stratification.
CoRR, 2018

2017
Bolt: Accelerated Data Mining with Fast Vector Compression.
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.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Adaptive Synaptogenesis Constructs Neural Codes That Benefit Discrimination.
PLoS Comput. Biol., 2015


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