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ORCIDBrian R. Bartoldson
Person information
- affiliation: Lawrence Livermore National Laboratory, Livermore, CA, USA
- affiliation (PhD 2020): Florida State University, FL, USA
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2020 – today
- 2024
[i9]Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li:
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression. CoRR abs/2403.15447 (2024)- 2023
- [j1]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) - [i8]Brian R. Bartoldson, Yeping Hu, Amar Saini, Jose Cadena, Yucheng Fu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen:
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics. CoRR abs/2304.00338 (2023) - [i7]Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein:
NEFTune: Noisy Embeddings Improve Instruction Finetuning. CoRR abs/2310.05914 (2023) - 2022
- [c4]Brian R. Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng:
Latent Space Simulation for Carbon Capture Design Optimization. AAAI 2022: 12447-12453 - [c3]Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Timo Bremer:
Models Out of Line: A Fourier Lens on Distribution Shift Robustness. NeurIPS 2022 - [i6]Sara Fridovich-Keil, Brian R. Bartoldson, James Diffenderfer, Bhavya Kailkhura, Peer-Timo Bremer
:
Models Out of Line: A Fourier Lens on Distribution Shift Robustness. CoRR abs/2207.04075 (2022) - [i5]Brian R. Bartoldson, Bhavya Kailkhura, Davis W. Blalock:
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities. CoRR abs/2210.06640 (2022) - 2021
- [c2]James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura:
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness. NeurIPS 2021: 664-676 - [i4]James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura:
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness. CoRR abs/2106.09129 (2021) - [i3]Brian R. Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng:
Latent Space Simulation for Carbon Capture Design Optimization. CoRR abs/2112.11656 (2021) - 2020
- [c1]Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher:
The Generalization-Stability Tradeoff In Neural Network Pruning. NeurIPS 2020
2010 – 2019
- 2019
- [i2]Brian R. Bartoldson, Ari S. Morcos, Adrian Barbu, Gordon Erlebacher:
The Generalization-Stability Tradeoff in Neural Network Pruning. CoRR abs/1906.03728 (2019) - 2018
- [i1]Brian R. Bartoldson, Adrian Barbu, Gordon Erlebacher:
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks. CoRR abs/1805.01930 (2018)
Coauthor Index
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last updated on 2024-04-25 02:14 CEST by the dblp team
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