A simple and effective pruning approach for large language models M Sun, Z Liu, A Bair, JZ Kolter arXiv preprint arXiv:2306.11695, 2023 | 465 | 2023 |
Computational design of mixed-initiative human–robot teaming that considers human factors: situational awareness, workload, and workflow preferences M Gombolay, A Bair, C Huang, J Shah The International journal of robotics research 36 (5-7), 597-617, 2017 | 187 | 2017 |
Robustness between the worst and average case L Rice, A Bair, H Zhang, JZ Kolter Advances in Neural Information Processing Systems 34, 27840-27851, 2021 | 22 | 2021 |
Leveraging multiple descriptive features for robust few-shot image learning Z Feng, A Bair, JZ Kolter arXiv preprint arXiv:2307.04317 4, 2023 | 11 | 2023 |
Adaptive sharpness-aware pruning for robust sparse networks A Bair, H Yin, M Shen, P Molchanov, J Alvarez arXiv preprint arXiv:2306.14306, 2023 | 7 | 2023 |
Text descriptions are compressive and invariant representations for visual learning Z Feng, A Bair, JZ Kolter arXiv preprint arXiv:2307.04317, 2023 | 5 | 2023 |
A Simple and Effective Pruning Approach for Large Language Models (2023) M Sun, Z Liu, A Bair, JZ Kolter arXiv preprint arXiv:2306.11695, 0 | 5 | |
HyperCLIP: Adapting Vision-Language models with Hypernetworks V Akinwande, MS Norouzzadeh, D Willmott, A Bair, MR Ganesh, JZ Kolter arXiv preprint arXiv:2412.16777, 2024 | | 2024 |