Прати
Amir Gholami
Amir Gholami
Research Scientist, University of California, Berkeley
Верификована је имејл адреса на eecs.berkeley.edu - Почетна страница
Наслов
Навело
Навело
Година
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
22922018
A Survey of Quantization Methods for Efficient Neural Network Inference
A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer
arXiv preprint arXiv:2103.13630, 2021
14062021
Characterizing possible failure modes in physics-informed neural networks
A Krishnapriyan, A Gholami, S Zhe, R Kirby, MW Mahoney
Advances in Neural Information Processing Systems 34, 26548-26560, 2021
8142021
Q-bert: Hessian based ultra low precision quantization of bert
S Shen, Z Dong, J Ye, L Ma, Z Yao, A Gholami, MW Mahoney, K Keutzer
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8815-8821, 2020
6182020
Hawq: Hessian aware quantization of neural networks with mixed-precision
Z Dong, Z Yao, A Gholami, MW Mahoney, K Keutzer
Proceedings of the IEEE/CVF International Conference on Computer Vision, 293-302, 2019
5922019
Zeroq: A novel zero shot quantization framework
Y Cai, Z Yao, Z Dong, A Gholami, MW Mahoney, K Keutzer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
4842020
Shift: A zero flop, zero parameter alternative to spatial convolutions
B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
4752018
Squeezenext: Hardware-aware neural network design
A Gholami, K Kwon, B Wu, Z Tai, X Yue, P Jin, S Zhao, K Keutzer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
4002018
I-bert: Integer-only bert quantization
S Kim, A Gholami, Z Yao, MW Mahoney, K Keutzer
International conference on machine learning, 5506-5518, 2021
3912021
Pyhessian: Neural networks through the lens of the hessian
Z Yao, A Gholami, K Keutzer, MW Mahoney
2020 IEEE International Conference on Big Data (Big Data), 581-590, 2020
3352020
Hawq-v2: Hessian aware trace-weighted quantization of neural networks
Z Dong, Z Yao, D Arfeen, A Gholami, MW Mahoney, K Keutzer
Advances in neural information processing systems 33, 18518-18529, 2020
3102020
Adahessian: An adaptive second order optimizer for machine learning
Z Yao, A Gholami, S Shen, M Mustafa, K Keutzer, M Mahoney
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10665 …, 2021
3042021
HAWQ-V3: Dyadic Neural Network Quantization
Z Yao, Z Dong, Z Zheng, A Gholami, J Yu, E Tan, L Wang, Q Huang, ...
International Conference on Machine Learning, 11875-11886, 2021
2882021
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
A Gholami, K Keutzer, G Biros
arXiv preprint arXiv:1902.10298, 2019
2262019
Checkmate: Breaking the memory wall with optimal tensor rematerialization
P Jain, A Jain, A Nrusimha, A Gholami, P Abbeel, J Gonzalez, K Keutzer, ...
Proceedings of Machine Learning and Systems 2, 497-511, 2020
2052020
SqueezeLLM: Dense-and-Sparse Quantization
S Kim, C Hooper, A Gholami, Z Dong, X Li, S Shen, MW Mahoney, ...
arXiv preprint arXiv:2306.07629, 2023
1842023
Hessian-based analysis of large batch training and robustness to adversaries
Z Yao, A Gholami, Q Lei, K Keutzer, MW Mahoney
Advances in Neural Information Processing Systems 31, 4949-4959, 2018
1832018
Learned token pruning for transformers
S Kim, S Shen, D Thorsley, A Gholami, W Kwon, J Hassoun, K Keutzer
arXiv preprint arXiv:2107.00910, 2021
1692021
A Fast Post-Training Pruning Framework for Transformers
W Kwon, S Kim, MW Mahoney, J Hassoun, K Keutzer, A Gholami
arXiv preprint arXiv:2204.09656, 2022
1462022
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
S Kim, A Gholami, A Shaw, N Lee, K Mangalam, J Malik, MW Mahoney, ...
arXiv preprint arXiv:2206.00888, 2022
1412022
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