The Generalization-Stability Tradeoff In Neural Network Pruning BR Bartoldson, AS Morcos, A Barbu, G Erlebacher Advances in Neural Information Processing Systems, 2020 | 88 | 2020 |
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 | 61 | 2021 |
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities BR Bartoldson, B Kailkhura, D Blalock Journal of Machine Learning Research, 2023 | 32 | 2023 |
NEFTune: Noisy Embeddings Improve Instruction Finetuning N Jain, P Chiang, Y Wen, J Kirchenbauer, HM Chu, G Somepalli, ... International Conference on Learning Representations, 2024 | 29* | 2024 |
Enhancing the regularization effect of weight pruning in artificial neural networks B Bartoldson, A Barbu, G Erlebacher arXiv preprint arXiv:1805.01930, 2018 | 5 | 2018 |
Transformers Can Do Arithmetic with the Right Embeddings S McLeish, A Bansal, A Stein, N Jain, J Kirchenbauer, BR Bartoldson, ... arXiv preprint arXiv:2405.17399, 2024 | 3 | 2024 |
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 | 1 | 2023 |
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 arXiv preprint arXiv:2406.04273, 2024 | | 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 | | 2024 |
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 | | 2024 |
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 |
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 | | 2022 |
MeshGraphNets BR Bartoldson, R Wang, BM Ng, PCN Nguyen, JE Cadena Pico, ... Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2021 | | 2021 |
Deeper Fluids PCN Nguyen, BR Bartoldson, BM Ng, DP Midemann, P Nguyen 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 |