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Brian Bartoldson
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The Generalization-Stability Tradeoff In Neural Network Pruning
BR Bartoldson, AS Morcos, A Barbu, G Erlebacher
Advances in Neural Information Processing Systems, 2020
1062020
NEFTune: Noisy Embeddings Improve Instruction Finetuning
N Jain, P Chiang, Y Wen, J Kirchenbauer, HM Chu, G Somepalli, ...
International Conference on Learning Representations, 2024
86*2024
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness
J Diffenderfer, BR Bartoldson, S Chaganti, J Zhang, B Kailkhura
Advances in Neural Information Processing Systems, 2021
822021
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
BR Bartoldson, B Kailkhura, D Blalock
Journal of Machine Learning Research, 2023
512023
Transformers Can Do Arithmetic with the Right Embeddings
S McLeish, A Bansal, A Stein, N Jain, J Kirchenbauer, BR Bartoldson, ...
Advances in Neural Information Processing Systems, 2024
34*2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
BR Bartoldson, J Diffenderfer, K Parasyris, B Kailkhura
International Conference on Machine Learning, 2024
192024
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
J Hong, J Duan, C Zhang, Z Li, C Xie, K Lieberman, J Diffenderfer, ...
International Conference on Machine Learning, 2024
162024
Speculative Diffusion Decoding for Accelerated Language Generation
JK Christopher, BR Bartoldson, T Ben-Nun, M Cardei, B Kailkhura, ...
NAACL, 2025
7*2025
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
BR Bartoldson, Y Hu, A Saini, J Cadena, Y Fu, J Bao, Z Xu, B Ng, ...
ICLR Workshop Physics4ML, 2023
72023
Enhancing the regularization effect of weight pruning in artificial neural networks
B Bartoldson, A Barbu, G Erlebacher
arXiv preprint arXiv:1805.01930, 2018
52018
ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling
H Zheng, E Tsai, Y Lu, J Sun, BR Bartoldson, B Kailkhura, A Prakash
International Conference on Learning Representations, 2025
42025
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
J Geiping, S McLeish, N Jain, J Kirchenbauer, S Singh, BR Bartoldson, ...
arXiv preprint arXiv:2502.05171, 2025
32025
Latent Space Simulation for Carbon Capture Design Optimization
B Bartoldson, R Wang, Y Fu, D Widemann, S Nguyen, J Bao, Z Xu, B Ng
Innovative Applications of Artificial Intelligence, 2022
32022
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness
Z Wang, C Xie, B Bartoldson, B Kailkhura
arXiv preprint arXiv:2501.09446, 2025
2025
Framework for Optimization, Quantification of Uncertainty, and Surrogates–Updated Capabilities
FM Plugin
2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
S Fridovich-Keil, BR Bartoldson, J Diffenderfer, B Kailkhura, PT Bremer
Advances in Neural Information Processing Systems, 2022
2022
MeshGraphNets
BR Bartoldson, R Wang, BM Ng, PCN Nguyen, JE Cadena Pico, ...
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2021
2021
Generalization Performance and Properties of Pruned Neural Networks
BR Bartoldson
The Florida State University, 2020
2020
An Interpretable Multimodal Retrieval Tool
B Bartoldson, B Ng, B Chen
2018
Label-Free Coreset Selection with Proxy Training Dynamics
H Zheng, E Tsai, Y Lu, J Sun, BR Bartoldson, B Kailkhura, A Prakash
The Thirteenth International Conference on Learning Representations, 0
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Artikler 1–20