Mahoney, Michael W.

A Survey of Quantization Methods for Efficient Neural Network Inference

Gholami, A., Kim, S., Dong, Z., Yao, Z., Mahoney, M. W., & Keutzer, K. (2022) · Low-Power Computer Vision

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 1,219

HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision

Dong, Z., Yao, Z., Gholami, A., Mahoney, M., & Keutzer, K. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 492

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT

Shen, S., Dong, Z., Ye, J., Ma, L., Yao, Z., Gholami, A., Mahoney, M. W., & Keutzer, K. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsTopic Modeling

Cited by 437

ZeroQ: A Novel Zero Shot Quantization Framework

Cai, Y., Yao, Z., Dong, Z., Gholami, A., Mahoney, M. W., & Keutzer, K. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 381

AI and Memory Wall

Gholami, A., Yao, Z., Kim, S., Hooper, C., Mahoney, M. W., & Keutzer, K. (2024) · IEEE Micro

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 369

PCA-Correlated SNPs for Structure Identification in Worldwide Human Populations

Paschou, P., Ziv, E., Burchard, E. G., Choudhry, S., Rodriguez-Cintron, W., Mahoney, M. W., & Drineas, P. (2007) · PLoS Genetics

Forensic and Genetic ResearchGenetic diversity and population structure

Cited by 302

I-BERT: Integer-only BERT Quantization

Kim, S., Gholami, A., Yao, Z., Mahoney, M. W., & Keutzer, K. (2021) · arXiv

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 186

A Berkeley View of Systems Challenges for AI

Stoica, I., Song, D., Popa, R. A., Patterson, D., Mahoney, M. W., Katz, R., Joseph, A. D., Jordan, M., Hellerstein, J. M., Gonzalez, J. E., et al. (2017) · arXiv

Artificial Intelligence ApplicationsAdvanced Neural Network Applications

Cited by 171

Tree-Like Structure in Large Social and Information Networks

Adcock, A. B., Sullivan, B. D., & Mahoney, M. W. (2013) · 2013 IEEE 13th International Conference on Data Mining

Complex Network Analysis TechniquesGraph Theory and Algorithms

Cited by 141

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks

Dong, Z., Yao, Z., Cai, Y., Arfeen, D., Gholami, A., Mahoney, M. W., & Keutzer, K. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 110

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Hooper, C., Kim, S., Mohammadzadeh, H., Mahoney, M. W., Shao, Y. S., Keutzer, K., & Gholami, A. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 69

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Hooper, C., Kim, S., Mohammadzadeh, H., Mahoney, M., Shao, Y., Keutzer, K., & Gholami, A. (2024) · Advances in Neural Information Processing Systems 37

Advanced Neural Network ApplicationsTopic Modeling

Cited by 69

A Fast Post-Training Pruning Framework for Transformers

Kwon, W., Kim, S., Mahoney, M. W., Hassoun, J., Keutzer, K., & Gholami, A. (2022) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 64

Hessian-Aware Pruning and Optimal Neural Implant

Yu, S., Yao, Z., Gholami, A., Dong, Z., Kim, S., Mahoney, M. W., & Keutzer, K. (2021) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 50

An LLM Compiler for Parallel Function Calling

Kim, S., Moon, S., Tabrizi, R., Lee, N., Mahoney, M. W., Keutzer, K., & Gholami, A. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 12

Sparse Quantized Spectral Clustering

Liao, Z., Couillet, R., & Mahoney, M. W. (2020) · arXiv

Advanced Clustering Algorithms ResearchSparse and Compressive Sensing Techniques

Cited by 10

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization

Masserano, L., Ansari, A. F., Han, B., Zhang, X., Faloutsos, C., Mahoney, M. W., Wilson, A. G., Park, Y., Rangapuram, S., Maddix, D. C., et al. (2024) · arXiv

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 1