Keutzer, Kurt

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Iandola, F. N., Han, S., Moskewicz, M. W., Ashraf, K., Dally, W. J., & Keutzer, K. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 6,201

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

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

Wu, B., Wan, A., Yue, X., & Keutzer, K. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 967

A view of the parallel computing landscape

Asanovic, K., Bodik, R., Demmel, J., Keaveny, T., Keutzer, K., Kubiatowicz, J., Morgan, N., Patterson, D., Sen, K., Wawrzynek, J., et al. (2009) · Communications of the ACM

Parallel Computing and Optimization TechniquesDistributed and Parallel Computing Systems

Cited by 627

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

Wu, B., Wan, A., Iandola, F., Jin, P. H., & Keutzer, K. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 614

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

Fast support vector machine training and classification on graphics processors

Catanzaro, B., Sundaram, N., & Keutzer, K. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08

Parallel Computing and Optimization TechniquesStochastic Gradient Optimization Techniques

Cited by 372

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

SqueezeNext: Hardware-Aware Neural Network Design

Gholami, A., Kwon, K., Wu, B., Tai, Z., Yue, X., Jin, P., Zhao, S., & Keutzer, K. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 350

Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search

Wu, B., Wang, Y., Zhang, P., Tian, Y., Vajda, P., & Keutzer, K. (2018) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 186

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

Learned Token Pruning for Transformers

Kim, S., Shen, S., Thorsley, D., Gholami, A., Kwon, W., Hassoun, J., & Keutzer, K. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Advanced Neural Network ApplicationsTopic Modeling

Cited by 139

SqueezeBERT: What can computer vision teach NLP about efficient neural networks?

Iandola, F., Shaw, A., Krishna, R., & Keutzer, K. (2020) · Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing

Advanced Neural Network ApplicationsTopic Modeling

Cited by 114

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

How to scale distributed deep learning?

Jin, P. H., Yuan, Q., Iandola, F., & Keutzer, K. (2016) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 85

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

Counterexample-Guided Data Augmentation

Dreossi, T., Ghosh, S., Yue, X., Keutzer, K., Sangiovanni-Vincentelli, A., & Seshia, S. A. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningMachine Learning and Data Classification

Cited by 60

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers

Liu, Y., Yang, H., Dong, Z., Keutzer, K., Du, L., & Zhang, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 60

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

HallE-Control: Controlling Object Hallucination in Large Multimodal Models

Zhai, B., Yang, S., Xu, C., Shen, S., Keutzer, K., Li, C., & Li, M. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2