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ORCIDKurt Keutzer
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 2024
[j67]Amir Gholami
, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer:
AI and Memory Wall. IEEE Micro 44(3): 33-39 (2024)- [c234]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. AAAI 2024: 16812-16820 - [c233]Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. ACL (Findings) 2024: 6498-6526 - [c232]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110 - [c231]Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang:
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. CVPR 2024: 7027-7037 - [c230]Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer:
EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. DAC 2024: 12:1-12:6 - [c229]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. ECCV (67) 2024: 108-127 - [c228]Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng:
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. EMNLP 2024: 7315-7332 - [c227]Sebastian Nehrdich, Oliver Hellwig, Kurt Keutzer:
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks. EMNLP (Findings) 2024: 13742-13751 - [c226]Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa:
LLoCO: Learning Long Contexts Offline. EMNLP 2024: 17605-17621 - [c225]Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou:
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 2024 - [c224]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. ICML 2024 - [c223]Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer:
SqueezeLLM: Dense-and-Sparse Quantization. ICML 2024 - [c222]Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
An LLM Compiler for Parallel Function Calling. ICML 2024 - [c221]Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph Gonzalez, Ion Stoica:
SLoRA: Scalable Serving of Thousands of LoRA Adapters. MLSys 2024 - [c220]Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang:
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. ACM Multimedia 2024: 5451-5459 - [c219]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. WACV 2024: 5644-5655 - [i170]Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang:
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR abs/2401.07853 (2024) - [i169]Siddharth Jha, Coleman Hooper, Xiaoxuan Liu, Sehoon Kim, Kurt Keutzer:
Learned Best-Effort LLM Serving. CoRR abs/2401.07886 (2024) - [i168]Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami:
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization. CoRR abs/2401.18079 (2024) - [i167]Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng:
Magic-Me: Identity-Specific Video Customized Diffusion. CoRR abs/2402.09368 (2024) - [i166]Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen Dong, Zhe Zhou, Chenhao Xue, Bingzhe Wu, Zhikai Li, Qingyi Gu, Yong Jae Lee, Yan Yan, Beidi Chen, Guangyu Sun, Kurt Keutzer:
LLM Inference Unveiled: Survey and Roofline Model Insights. CoRR abs/2402.16363 (2024) - [i165]Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan:
Q-SLAM: Quadric Representations for Monocular SLAM. CoRR abs/2403.08125 (2024) - [i164]Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay:
RouterBench: A Benchmark for Multi-LLM Routing System. CoRR abs/2403.12031 (2024) - [i163]Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer:
AI and Memory Wall. CoRR abs/2403.14123 (2024) - [i162]Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. CoRR abs/2403.15042 (2024) - [i161]Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Ada Popa:
LLoCO: Learning Long Contexts Offline. CoRR abs/2404.07979 (2024) - [i160]Yijiang Liu, Rongyu Zhang, Huanrui Yang, Kurt Keutzer, Yuan Du, Li Du, Shanghang Zhang:
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. CoRR abs/2404.08985 (2024) - [i159]Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu:
Looking Backward: Streaming Video-to-Video Translation with Feature Banks. CoRR abs/2405.15757 (2024) - [i158]Nan Huang, Xiaobao Wei, Wenzhao Zheng, Pengju An, Ming Lu, Wei Zhan, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
S3Gaussian: Self-Supervised Street Gaussians for Autonomous Driving. CoRR abs/2405.20323 (2024) - [i157]Ruijun Zhang, Xianda Guo, Wenzhao Zheng, Chenming Zhang, Kurt Keutzer, Long Chen:
Instruct Large Language Models to Drive like Humans. CoRR abs/2406.07296 (2024) - [i156]Yiheng Li, Heyang Jiang, Akio Kodaira, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu:
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment. CoRR abs/2406.12303 (2024) - [i155]Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang:
Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. CoRR abs/2407.03442 (2024) - [i154]Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Kurt Keutzer, Amir Gholami:
Characterizing Prompt Compression Methods for Long Context Inference. CoRR abs/2407.08892 (2024) - [i153]Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang:
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. CoRR abs/2407.12996 (2024) - [i152]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. CoRR abs/2407.19014 (2024) - [i151]Zhongyu Zhao, Menghang Dong, Rongyu Zhang, Wenzhao Zheng, Yunpeng Zhang, Huanrui Yang, Dalong Du, Kurt Keutzer, Shanghang Zhang:
FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models. CoRR abs/2408.11855 (2024) - [i150]Zhikai Li, Xuewen Liu, Dongrong Fu, Jianquan Li, Qingyi Gu, Kurt Keutzer, Zhen Dong:
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences. CoRR abs/2408.14468 (2024) - [i149]Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami:
TinyAgent: Function Calling at the Edge. CoRR abs/2409.00608 (2024) - [i148]Suhong Moon, Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Woosang Lim, Kurt Keutzer, Amir Gholami:
Efficient and Scalable Estimation of Tool Representations in Vector Space. CoRR abs/2409.02141 (2024) - [i147]Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan, Muhammad Zubair Irshad, Richard Cheng, Kurt Keutzer, Masayoshi Tomizuka, Quan Vuong, Ken Goldberg:
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning. CoRR abs/2409.03403 (2024) - [i146]Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan:
Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. CoRR abs/2409.12963 (2024) - [i145]Sebastian Nehrdich, Oliver Hellwig, Kurt Keutzer:
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks. CoRR abs/2409.13920 (2024) - [i144]Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang:
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference. CoRR abs/2410.04417 (2024) - [i143]Ye Li, Wenzhao Zheng, Xiaonan Huang, Kurt Keutzer:
UniDrive: Towards Universal Driving Perception Across Camera Configurations. CoRR abs/2410.13864 (2024) - [i142]Xin Fei, Wenzhao Zheng, Yueqi Duan, Wei Zhan, Masayoshi Tomizuka, Kurt Keutzer, Jiwen Lu:
PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views. CoRR abs/2410.18979 (2024) - [i141]Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han:
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training. CoRR abs/2410.19313 (2024) - [i140]Yang Zhou, Zhen Dong, Ellick Chan, Dhiraj Kalamkar, Diana Marculescu, Kurt Keutzer:
DQRM: Deep Quantized Recommendation Models. CoRR abs/2410.20046 (2024) - [i139]Lutfi Eren Erdogan, Vijay Anand Raghava Kanakagiri, Kurt Keutzer, Zhen Dong:
Stochastic Communication Avoidance for Recommendation Systems. CoRR abs/2411.01611 (2024) - 2023
- [j66]Chao Xia, Chenfeng Xu, Patrick Rim, Mingyu Ding, Nanning Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
Quadric Representations for LiDAR Odometry, Mapping and Localization. IEEE Robotics Autom. Lett. 8(8): 5023-5030 (2023) - [c218]Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation. CVPR 2023: 1190-1199 - [c217]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CVPR 2023: 20321-20330 - [c216]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. DAC 2023: 1-6 - [c215]Brian Yu, Hansen Lillemark, Kurt Keutzer:
Simple and Effective Input Reformulations for Translation. EMNLP 2023: 10322-10334 - [c214]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. EMNLP (Findings) 2023: 11329-11344 - [c213]Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. ICCV 2023: 3802-3812 - [c212]Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. ICCV 2023: 4065-4076 - [c211]Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. ICCV 2023: 17489-17499 - [c210]Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. ICCV 2023: 17545-17556 - [c209]Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. ICCV 2023: 23263-23273 - [c208]Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M. Kitani, Masayoshi Tomizuka, Wei Zhan:
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection. ICLR 2023 - [c207]Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu:
Large Language Models are Visual Reasoning Coordinators. NeurIPS 2023 - [c206]Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Speculative Decoding with Big Little Decoder. NeurIPS 2023 - [c205]Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami:
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. NeurIPS 2023 - [i138]Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. CoRR abs/2302.04304 (2023) - [i137]Sehoon Kim, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Big Little Transformer Decoder. CoRR abs/2302.07863 (2023) - [i136]Sehoon Kim, Coleman Hooper, Thanakul Wattanawong, Minwoo Kang, Ruohan Yan, Hasan Genc, Grace Dinh, Qijing Huang, Kurt Keutzer, Michael W. Mahoney, Yakun Sophia Shao, Amir Gholami:
Full Stack Optimization of Transformer Inference: a Survey. CoRR abs/2302.14017 (2023) - [i135]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. CoRR abs/2303.07226 (2023) - [i134]Chao Xia, Chenfeng Xu, Patrick Rim, Mingyu Ding, Nanning Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
Quadric Representations for LiDAR Odometry, Mapping and Localization. CoRR abs/2304.14190 (2023) - [i133]Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. CoRR abs/2304.14340 (2023) - [i132]Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou:
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR abs/2305.14705 (2023) - [i131]Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami:
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. CoRR abs/2306.00258 (2023) - [i130]Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer:
SqueezeLLM: Dense-and-Sparse Quantization. CoRR abs/2306.07629 (2023) - [i129]Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. CoRR abs/2307.14620 (2023) - [i128]Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. CoRR abs/2308.10515 (2023) - [i127]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023) - [i126]Bohan Zhai, Shijia Yang, Xiangchen Zhao, Chenfeng Xu, Sheng Shen, Dongdi Zhao, Kurt Keutzer, Manling Li, Tan Yan, Xiangjun Fan:
HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision Language Models for Detailed Caption. CoRR abs/2310.01779 (2023) - [i125]Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer:
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources. CoRR abs/2310.07147 (2023) - [i124]Yiyuan Zhang, Kaixiong Gong, Xiaohan Ding, Kaipeng Zhang, Fangrui Lv, Kurt Keutzer, Xiangyu Yue:
Towards Unified and Effective Domain Generalization. CoRR abs/2310.10008 (2023) - [i123]Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Hasan Genc, Kurt Keutzer, Amir Gholami, Yakun Sophia Shao:
SPEED: Speculative Pipelined Execution for Efficient Decoding. CoRR abs/2310.12072 (2023) - [i122]Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu:
Large Language Models are Visual Reasoning Coordinators. CoRR abs/2310.15166 (2023) - [i121]Jay Zhangjie Wu, Xiuyu Li, Difei Gao, Zhen Dong, Jinbin Bai, Aishani Singh, Xiaoyu Xiang, Youzeng Li, Zuwei Huang, Yuanxi Sun, Rui He, Feng Hu, Junhua Hu, Hai Huang, Hanyu Zhu, Xu Cheng, Jie Tang, Mike Zheng Shou, Kurt Keutzer, Forrest N. Iandola:
CVPR 2023 Text Guided Video Editing Competition. CoRR abs/2310.16003 (2023) - [i120]Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica:
S-LoRA: Serving Thousands of Concurrent LoRA Adapters. CoRR abs/2311.03285 (2023) - [i119]Brian Yu, Hansen Lillemark, Kurt Keutzer:
Simple and Effective Input Reformulations for Translation. CoRR abs/2311.06696 (2023) - [i118]Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer:
EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. CoRR abs/2311.07620 (2023) - [i117]Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng:
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. CoRR abs/2311.08562 (2023) - [i116]Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
An LLM Compiler for Parallel Function Calling. CoRR abs/2312.04511 (2023) - [i115]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. CoRR abs/2312.09148 (2023) - [i114]Akio Kodaira, Chenfeng Xu, Toshiki Hazama, Takanori Yoshimoto, Kohei Ohno, Shogo Mitsuhori, Soichi Sugano, Hanying Cho, Zhijian Liu, Kurt Keutzer:
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation. CoRR abs/2312.12491 (2023) - [i113]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. CoRR abs/2312.16610 (2023) - 2022
- [j65]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6729-6751 (2022) - [j64]Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer:
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. IEEE Trans. Cybern. 52(10): 10000-10013 (2022) - [j63]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(2): 473-493 (2022) - [c204]Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao:
Invariant Information Bottleneck for Domain Generalization. AAAI 2022: 7399-7407 - [c203]Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan:
PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map. ECCV (39) 2022: 34-50 - [c202]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. ECCV (9) 2022: 629-645 - [c201]Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. ECCV (37) 2022: 638-656 - [c200]Sehoon Kim, Amir Gholami, Zhewei Yao, Nicholas Lee, Patrick Wang, Aniruddha Nrusimha, Bohan Zhai, Tianren Gao, Michael W. Mahoney, Kurt Keutzer:
Integer-Only Zero-Shot Quantization for Efficient Speech Recognition. ICASSP 2022: 4288-4292 - [c199]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022 - [c198]Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy:
Staged Training for Transformer Language Models. ICML 2022: 19893-19908 - [c197]Minzhe Liu, Qiang Zhou, Hengshuang Zhao, Jianing Li, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation. ICRA 2022: 9243-9250 - [c196]Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang:
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. IJCAI 2022: 4216-4222 - [c195]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. KDD 2022: 784-794 - [c194]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS 2022 - [c193]Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami:
A Fast Post-Training Pruning Framework for Transformers. NeurIPS 2022 - [c192]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS 2022 - [c191]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [c190]Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer:
Hessian-Aware Pruning and Optimal Neural Implant. WACV 2022: 3665-3676 - [i112]Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy:
Staged Training for Transformer Language Models. CoRR abs/2203.06211 (2022) - [i111]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR abs/2204.09222 (2022) - [i110]Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami:
A Fast Post-Training Pruning Framework for Transformers. CoRR abs/2204.09656 (2022) - [i109]Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan:
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map. CoRR abs/2204.10435 (2022) - [i108]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
Cross-Domain Object Detection with Mean-Teacher Transformer. CoRR abs/2205.01643 (2022) - [i107]Zhen Dong, Kaicheng Zhou, Guohao Li, Qiang Zhou, Mingfei Guo, Bernard Ghanem, Kurt Keutzer, Shanghang Zhang:
UnrealNAS: Can We Search Neural Architectures with Unreal Data? CoRR abs/2205.02162 (2022) - [i106]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. CoRR abs/2206.00888 (2022) - [i105]Tian Li, Xiang Chen, Zhen Dong, Weijiang Yu, Yijun Yan, Kurt Keutzer, Shanghang Zhang:
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. CoRR abs/2206.09591 (2022) - [i104]Peiyuan Liao, Xiuyu Li, Xihui Liu, Kurt Keutzer:
The ArtBench Dataset: Benchmarking Generative Models with Artworks. CoRR abs/2206.11404 (2022) - [i103]Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning. CoRR abs/2207.01987 (2022) - [i102]Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed:
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. CoRR abs/2209.03745 (2022) - [i101]Lingran Zhao, Zhen Dong, Kurt Keutzer:
Analysis of Quantization on MLP-based Vision Models. CoRR abs/2209.06383 (2022) - [i100]Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris Kitani, Masayoshi Tomizuka, Wei Zhan:
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection. CoRR abs/2210.02443 (2022) - [i99]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. CoRR abs/2211.11720 (2022) - [i98]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CoRR abs/2211.16056 (2022) - [i97]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. CoRR abs/2212.02770 (2022) - [i96]Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. CoRR abs/2212.14532 (2022) - 2021
- [j62]Sicheng Zhao, Bo Li, Pengfei Xu, Xiangyu Yue, Guiguang Ding, Kurt Keutzer:
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. Int. J. Comput. Vis. 129(8): 2399-2424 (2021) - [j61]Sicheng Zhao, Guoli Jia, Jufeng Yang, Guiguang Ding, Kurt Keutzer:
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies. IEEE Signal Process. Mag. 38(6): 59-73 (2021) - [j60]Ravi Krishna, Norman Mu, Kurt Keutzer:
Applying Text Analytics to the Mind-section Literature of the Tibetan Tradition of the Great Perfection. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(2): 21:1-21:32 (2021) - [c189]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. AAAI 2021: 3500-3509 - [c188]Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney:
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. AAAI 2021: 10665-10673 - [c187]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformers. ACL/IJCNLP (1) 2021: 4294-4309 - [c186]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao:
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. CVPR 2021: 1104-1113 - [c185]Colorado J. Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer:
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning. CVPR 2021: 2674-2683 - [c184]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. CVPR 2021: 13834-13844 - [c183]Sheng Shen, Zhewei Yao, Douwe Kiela, Kurt Keutzer, Michael W. Mahoney:
What's Hidden in a One-layer Randomly Weighted Transformer? EMNLP (1) 2021: 2914-2921 - [c182]Zhen Dong, Yizhao Gao, Qijing Huang, John Wawrzynek, Hayden K. H. So, Kurt Keutzer:
HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference. FCCM 2021: 50-59 - [c181]Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek:
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA 2021: 206-216 - [c180]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization. ICASSP 2021: 8203-8207 - [c179]Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda:
Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV 2021: 579-589 - [c178]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. ICCV 2021: 10519-10528 - [c177]Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer:
I-BERT: Integer-only BERT Quantization. ICML 2021: 5506-5518 - [c176]Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer:
HAWQ-V3: Dyadic Neural Network Quantization. ICML 2021: 11875-11886 - [c175]Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. IROS 2021: 4589-4596 - [c174]Zangwei Zheng, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Scene-aware Learning Network for Radar Object Detection. ICMR 2021: 573-579 - [c173]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. ACM Multimedia 2021: 487-495 - [c172]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
NovelD: A Simple yet Effective Exploration Criterion. NeurIPS 2021: 25217-25230 - [c171]Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer:
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. WWW 2021: 541-552 - [i95]Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer:
I-BERT: Integer-only BERT Quantization. CoRR abs/2101.01321 (2021) - [i94]Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Michael W. Mahoney, Kurt Keutzer:
Hessian-Aware Pruning and Optimal Neural Implant. CoRR abs/2101.08940 (2021) - [i93]Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu:
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning. CoRR abs/2103.06386 (2021) - [i92]Chenfeng Xu, Bohan Zhai, Bichen Wu, Tian Li, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module. CoRR abs/2103.09975 (2021) - [i91]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR abs/2103.12718 (2021) - [i90]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. CoRR abs/2103.12902 (2021) - [i89]Amir Gholami, Sehoon Kim, Zhen Dong, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer:
A Survey of Quantization Methods for Efficient Neural Network Inference. CoRR abs/2103.13630 (2021) - [i88]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation. CoRR abs/2103.16765 (2021) - [i87]Sehoon Kim, Amir Gholami, Zhewei Yao, Aniruddha Nrusimha, Bohan Zhai, Tianren Gao, Michael W. Mahoney, Kurt Keutzer:
Q-ASR: Integer-only Zero-shot Quantization for Efficient Speech Recognition. CoRR abs/2103.16827 (2021) - [i86]Zhen Dong, Yizhao Gao, Qijing Huang, John Wawrzynek, Hayden K. H. So, Kurt Keutzer:
HAO: Hardware-aware neural Architecture Optimization for Efficient Inference. CoRR abs/2104.12766 (2021) - [i85]Zhewei Yao, Linjian Ma, Sheng Shen, Kurt Keutzer, Michael W. Mahoney:
MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models. CoRR abs/2105.14636 (2021) - [i84]Chenfeng Xu, Shijia Yang, Bohan Zhai, Bichen Wu, Xiangyu Yue, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
Image2Point: 3D Point-Cloud Understanding with Pretrained 2D ConvNets. CoRR abs/2106.04180 (2021) - [i83]Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao:
Invariant Information Bottleneck for Domain Generalization. CoRR abs/2106.06333 (2021) - [i82]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. CoRR abs/2106.16125 (2021) - [i81]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. CoRR abs/2107.00910 (2021) - [i80]Zangwei Zheng, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Scene-aware Learning Network for Radar Object Detection. CoRR abs/2107.01469 (2021) - [i79]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? CoRR abs/2107.06383 (2021) - [i78]Sicheng Zhao, Guoli Jia, Jufeng Yang, Guiguang Ding, Kurt Keutzer:
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies. CoRR abs/2108.10152 (2021) - [i77]Sheng Shen, Zhewei Yao, Douwe Kiela, Kurt Keutzer, Michael W. Mahoney:
What's Hidden in a One-layer Randomly Weighted Transformer? CoRR abs/2109.03939 (2021) - [i76]Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Multi-source Few-shot Domain Adaptation. CoRR abs/2109.12391 (2021) - [i75]Ravi Krishna, Aravind Kalaiah, Bichen Wu, Maxim Naumov, Dheevatsa Mudigere, Misha Smelyanskiy, Kurt Keutzer:
Differentiable NAS Framework and Application to Ads CTR Prediction. CoRR abs/2110.14812 (2021) - 2020
- [j59]Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel:
Fast LSTM by dynamic decomposition on cloud and distributed systems. Knowl. Inf. Syst. 62(11): 4169-4197 (2020) - [c170]Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. AAAI 2020: 303-311 - [c169]Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Inefficiency of K-FAC for Large Batch Size Training. AAAI 2020: 5053-5060 - [c168]Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. AAAI 2020: 8815-8821 - [c167]Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-Source Distilling Domain Adaptation. AAAI 2020: 12975-12983 - [c166]Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
PyHessian: Neural Networks Through the Lens of the Hessian. IEEE BigData 2020: 581-590 - [c165]Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
ZeroQ: A Novel Zero Shot Quantization Framework. CVPR 2020: 13166-13175 - [c164]Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. ECCV (28) 2020: 1-19 - [c163]Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer:
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? SustaiNLP@EMNLP 2020: 124-135 - [c162]Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes. ICLR 2020 - [c161]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez:
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. ICML 2020: 5958-5968 - [c160]Sheng Shen, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
PowerNorm: Rethinking Batch Normalization in Transformers. ICML 2020: 8741-8751 - [c159]Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph Gonzalez:
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. MLSys 2020 - [c158]Sicheng Zhao, Yaxian Li, Xingxu Yao, Weizhi Nie, Pengfei Xu, Jufeng Yang, Kurt Keutzer:
Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space. ACM Multimedia 2020: 2945-2954 - [c157]Zhen Dong, Zhewei Yao, Daiyaan Arfeen, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks. NeurIPS 2020 - [c156]Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Boundary thickness and robustness in learning models. NeurIPS 2020 - [i74]Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
ZeroQ: A Novel Zero Shot Quantization Framework. CoRR abs/2001.00281 (2020) - [i73]Bohan Zhai, Tianren Gao, Flora Xue, Daniel Rothchild, Bichen Wu, Joseph E. Gonzalez, Kurt Keutzer:
SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis. CoRR abs/2001.05685 (2020) - [i72]Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek:
Algorithm-hardware Co-design for Deformable Convolution. CoRR abs/2002.08357 (2020) - [i71]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez:
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. CoRR abs/2002.11794 (2020) - [i70]Sicheng Zhao, Bo Li, Colorado Reed, Pengfei Xu, Kurt Keutzer:
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey. CoRR abs/2002.12169 (2020) - [i69]Sicheng Zhao, Bo Li, Xiangyu Yue, Pengfei Xu, Kurt Keutzer:
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. CoRR abs/2003.00820 (2020) - [i68]Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos. CoRR abs/2003.00832 (2020) - [i67]Sheng Shen, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
Rethinking Batch Normalization in Transformers. CoRR abs/2003.07845 (2020) - [i66]Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation. CoRR abs/2004.01803 (2020) - [i65]Zhewei Yao, Amir Gholami, Sheng Shen, Kurt Keutzer, Michael W. Mahoney:
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. CoRR abs/2006.00719 (2020) - [i64]Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda:
Visual Transformers: Token-based Image Representation and Processing for Computer Vision. CoRR abs/2006.03677 (2020) - [i63]Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek:
CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. CoRR abs/2006.08357 (2020) - [i62]Forrest N. Iandola, Albert E. Shaw, Ravi Krishna, Kurt Keutzer:
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? CoRR abs/2006.11316 (2020) - [i61]Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer:
Rethinking Distributional Matching Based Domain Adaptation. CoRR abs/2006.13352 (2020) - [i60]Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Boundary thickness and robustness in learning models. CoRR abs/2007.05086 (2020) - [i59]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. CoRR abs/2009.00155 (2020) - [i58]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. CoRR abs/2009.03456 (2020) - [i57]Sicheng Zhao, Yaxian Li, Xingxu Yao, Weizhi Nie, Pengfei Xu, Jufeng Yang, Kurt Keutzer:
Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space. CoRR abs/2009.05103 (2020) - [i56]Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer:
Evaluating Self-Supervised Pretraining Without Using Labels. CoRR abs/2009.07724 (2020) - [i55]Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao:
Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation. CoRR abs/2010.04647 (2020) - [i54]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
Multi-Agent Collaboration via Reward Attribution Decomposition. CoRR abs/2010.08531 (2020) - [i53]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization. CoRR abs/2010.16088 (2020) - [i52]Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer:
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. CoRR abs/2011.08678 (2020) - [i51]Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer:
HAWQV3: Dyadic Neural Network Quantization. CoRR abs/2011.10680 (2020) - [i50]Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer:
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. CoRR abs/2011.12470 (2020) - [i49]Bichen Wu, Qing He, Peizhao Zhang, Thilo Köhler, Kurt Keutzer, Peter Vajda:
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge. CoRR abs/2011.12985 (2020) - [i48]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. CoRR abs/2011.14478 (2020) - [i47]Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer:
Cross-Domain Sentiment Classification with In-Domain Contrastive Learning. CoRR abs/2012.02943 (2020) - [i46]Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian:
BeBold: Exploration Beyond the Boundary of Explored Regions. CoRR abs/2012.08621 (2020) - [i45]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformer. CoRR abs/2012.15045 (2020)
2010 – 2019
- 2019
- [j58]Alon Amid, Kiseok Kwon, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer:
Co-design of deep neural nets and neural net accelerators for embedded vision applications. IBM J. Res. Dev. 63(6): 6:1-6:14 (2019) - [j57]Sicheng Zhao, Amir Gholaminejad, Guiguang Ding, Yue Gao, Jungong Han, Kurt Keutzer:
Personalized Emotion Recognition by Personality-Aware High-Order Learning of Physiological Signals. ACM Trans. Multim. Comput. Commun. Appl. 15(1s): 14:1-14:18 (2019) - [j56]Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer:
Fast Deep Neural Network Training on Distributed Systems and Cloud TPUs. IEEE Trans. Parallel Distributed Syst. 30(11): 2449-2462 (2019) - [c155]Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer:
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. AAAI 2019: 2620-2627 - [c154]Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer:
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CVPR 2019: 10734-10742 - [c153]Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney:
Trust Region Based Adversarial Attack on Neural Networks. CVPR 2019: 11350-11359 - [c152]Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer:
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. FPGA 2019: 23-32 - [c151]Zhen Dong, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision. ICCV 2019: 293-302 - [c150]Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong:
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data. ICCV 2019: 2100-2110 - [c149]Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel:
Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. ICDM 2019: 748-757 - [c148]Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer:
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. ICRA 2019: 4376-4382 - [c147]Amir Gholaminejad, Kurt Keutzer, George Biros:
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs. IJCAI 2019: 730-736 - [c146]Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer:
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking. ITSC 2019: 265-272 - [c145]Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer:
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. ACM Multimedia 2019: 192-201 - [c144]Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek:
Algorithm-hardware Co-design for Deformable Convolution. EMC2@NeurIPS 2019: 48-51 - [c143]Tianjun Zhang, Zhewei Yao, Amir Gholami, Joseph E. Gonzalez, Kurt Keutzer, Michael W. Mahoney, George Biros:
ANODEV2: A Coupled Neural ODE Framework. NeurIPS 2019: 5152-5162 - [c142]Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Domain Adaptation for Semantic Segmentation. NeurIPS 2019: 7285-7298 - [c141]Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large-batch training for LSTM and beyond. SC 2019: 9:1-9:16 - [i44]Yang You, Jonathan Hseu, Chris Ying, James Demmel, Kurt Keutzer, Cho-Jui Hsieh:
Large-Batch Training for LSTM and Beyond. CoRR abs/1901.08256 (2019) - [i43]Amir Gholami, Kurt Keutzer, George Biros:
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs. CoRR abs/1902.10298 (2019) - [i42]Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Inefficiency of K-FAC for Large Batch Size Training. CoRR abs/1903.06237 (2019) - [i41]Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer:
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking. CoRR abs/1904.09085 (2019) - [i40]Zhen Dong, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision. CoRR abs/1905.03696 (2019) - [i39]Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael W. Mahoney:
ANODEV2: A Coupled Neural ODE Evolution Framework. CoRR abs/1906.04596 (2019) - [i38]Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong:
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data. CoRR abs/1909.00889 (2019) - [i37]Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer:
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. CoRR abs/1909.05693 (2019) - [i36]Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. CoRR abs/1909.05840 (2019) - [i35]Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph E. Gonzalez:
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. CoRR abs/1910.02653 (2019) - [i34]Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Domain Adaptation for Semantic Segmentation. CoRR abs/1910.12181 (2019) - [i33]Zhen Dong, Zhewei Yao, Yaohui Cai, Daiyaan Arfeen, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks. CoRR abs/1911.03852 (2019) - [i32]Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer:
Multi-source Distilling Domain Adaptation. CoRR abs/1911.11554 (2019) - [i31]Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer:
Domain-Aware Dynamic Networks. CoRR abs/1911.13237 (2019) - [i30]Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
PyHessian: Neural Networks Through the Lens of the Hessian. CoRR abs/1912.07145 (2019) - 2018
- [j55]Xiaobo Sharon Hu, Rolf Ernst, Petru Eles, Gernot Heiser, Kurt Keutzer, Daehyun Kim, Tetsuya Tohdo:
Roundtable: Machine Learning for Embedded Systems: Hype or Lasting Impact? IEEE Des. Test 35(6): 86-93 (2018) - [c140]Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer:
SqueezeNext: Hardware-Aware Neural Network Design. CVPR Workshops 2018: 1638-1647 - [c139]Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer:
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CVPR 2018: 9127-9135 - [c138]Kiseok Kwon, Alon Amid, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer:
Co-design of deep neural nets and neural net accelerators for embedded vision applications. DAC 2018: 148:1-148:6 - [c137]Peter H. Jin, Boris Ginsburg, Kurt Keutzer:
Spatially Parallel Convolutions. ICLR (Workshop) 2018 - [c136]Peter H. Jin, Sergey Levine, Kurt Keutzer:
Regret Minimization for Partially Observable Deep Reinforcement Learning. ICLR (Workshop) 2018 - [c135]Peter H. Jin, Kurt Keutzer, Sergey Levine:
Regret Minimization for Partially Observable Deep Reinforcement Learning. ICML 2018: 2347-2356 - [c134]Yang You, Zhao Zhang, Cho-Jui Hsieh, James Demmel, Kurt Keutzer:
ImageNet Training in Minutes. ICPP 2018: 1:1-1:10 - [c133]Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer:
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. ICRA 2018: 1887-1893 - [c132]Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Counterexample-Guided Data Augmentation. IJCAI 2018: 2071-2078 - [c131]Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: A Comprehensive Survey. IJCAI 2018: 5534-5541 - [c130]Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer:
A Novel Domain Adaptation Framework for Medical Image Segmentation. BrainLes@MICCAI (2) 2018: 289-298 - [c129]Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. ICMR 2018: 458-464 - [c128]Sicheng Zhao, Xin Zhao, Guiguang Ding, Kurt Keutzer:
EmotionGAN: Unsupervised Domain Adaptation for Learning Discrete Probability Distributions of Image Emotions. ACM Multimedia 2018: 1319-1327 - [c127]Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney:
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. NeurIPS 2018: 4954-4964 - [c126]Amir Gholami, Ariful Azad, Peter H. Jin, Kurt Keutzer, Aydin Buluç:
Integrated Model, Batch, and Domain Parallelism in Training Neural Networks. SPAA 2018: 77-86 - [i29]Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney:
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries. CoRR abs/1802.08241 (2018) - [i28]Sicheng Zhao, Bichen Wu, Joseph Gonzalez, Sanjit A. Seshia, Kurt Keutzer:
Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld. CoRR abs/1803.09180 (2018) - [i27]Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer:
SqueezeNext: Hardware-Aware Neural Network Design. CoRR abs/1803.10615 (2018) - [i26]Xiangyu Yue, Bichen Wu, Sanjit A. Seshia, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving. CoRR abs/1804.00103 (2018) - [i25]Kiseok Kwon, Alon Amid, Amir Gholami, Bichen Wu, Krste Asanovic, Kurt Keutzer:
Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications. CoRR abs/1804.10642 (2018) - [i24]Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Counterexample-Guided Data Augmentation. CoRR abs/1805.06962 (2018) - [i23]Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer:
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. CoRR abs/1809.08495 (2018) - [i22]Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Large batch size training of neural networks with adversarial training and second-order information. CoRR abs/1810.01021 (2018) - [i21]Amir Gholami, Shashank Subramanian, Varun Shenoy, Naveen Himthani, Xiangyu Yue, Sicheng Zhao, Peter H. Jin, George Biros, Kurt Keutzer:
A Novel Domain Adaptation Framework for Medical Image Segmentation. CoRR abs/1810.05732 (2018) - [i20]Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer:
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. CoRR abs/1811.08634 (2018) - [i19]Bichen Wu, Yanghan Wang, Peizhao Zhang, Yuandong Tian, Peter Vajda, Kurt Keutzer:
Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search. CoRR abs/1812.00090 (2018) - [i18]Norman Mu, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Parameter Re-Initialization through Cyclical Batch Size Schedules. CoRR abs/1812.01216 (2018) - [i17]Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer:
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. CoRR abs/1812.03443 (2018) - [i16]Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney:
Trust Region Based Adversarial Attack on Neural Networks. CoRR abs/1812.06371 (2018) - 2017
- [c125]Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer:
Boda: A Holistic Approach for Implementing Neural Network Computations. Conf. Computing Frontiers 2017: 53-62 - [c124]Forrest N. Iandola, Kurt Keutzer:
Small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures. CODES+ISSS 2017: 1:1-1:10 - [c123]Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer:
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CVPR Workshops 2017: 446-454 - [c122]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-accuracy Road Object-detection. VEHITS 2017: 33-40 - [i15]Forrest N. Iandola, Kurt Keutzer:
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures. CoRR abs/1710.02759 (2017) - [i14]Bichen Wu, Alvin Wan, Xiangyu Yue, Kurt Keutzer:
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud. CoRR abs/1710.07368 (2017) - [i13]Peter H. Jin, Sergey Levine, Kurt Keutzer:
Regret Minimization for Partially Observable Deep Reinforcement Learning. CoRR abs/1710.11424 (2017) - [i12]Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer:
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CoRR abs/1711.08141 (2017) - [i11]Amir Gholami, Ariful Azad, Kurt Keutzer, Aydin Buluç:
Integrated Model and Data Parallelism in Training Neural Networks. CoRR abs/1712.04432 (2017) - 2016
- [j54]Kurt Keutzer:
If I could only design one circuit ...: technical perspective. Commun. ACM 59(11): 104 (2016) - [c121]Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer:
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters. CVPR 2016: 2592-2600 - [c120]Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer:
Boda-RTC: Productive generation of portable, efficient code for convolutional neural networks on mobile computing platforms. WiMob 2016: 1-10 - [r2]Kurt Keutzer, Kaushik Ravindran:
Technology Mapping. Encyclopedia of Algorithms 2016: 2200-2204 - [i10]Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally, Kurt Keutzer:
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size. CoRR abs/1602.07360 (2016) - [i9]Matthew W. Moskewicz, Forrest N. Iandola, Kurt Keutzer:
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms. CoRR abs/1606.00094 (2016) - [i8]Khalid Ashraf, Bichen Wu, Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
Shallow Networks for High-Accuracy Road Object-Detection. CoRR abs/1606.01561 (2016) - [i7]Peter H. Jin, Qiaochu Yuan, Forrest N. Iandola, Kurt Keutzer:
How to scale distributed deep learning? CoRR abs/1611.04581 (2016) - [i6]Matthew W. Moskewicz, Ali Jannesari, Kurt Keutzer:
A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications. CoRR abs/1611.06945 (2016) - [i5]Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer:
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving. CoRR abs/1612.01051 (2016) - 2015
- [c119]Forrest N. Iandola, Matthew W. Moskewicz, Kurt Keutzer:
libHOG: Energy-Efficient Histogram of Oriented Gradient Computation. ITSC 2015: 1248-1254 - [c118]Khalid Ashraf, Benjamin Elizalde, Forrest N. Iandola, Matthew W. Moskewicz, Julia Bernd, Gerald Friedland, Kurt Keutzer:
Audio-Based Multimedia Event Detection with DNNs and Sparse Sampling. ICMR 2015: 611-614 - [i4]Forrest N. Iandola, Anting Shen, Peter Gao, Kurt Keutzer:
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer. CoRR abs/1510.02131 (2015) - [i3]Forrest N. Iandola, Khalid Ashraf, Matthew W. Moskewicz, Kurt Keutzer:
FireCaffe: near-linear acceleration of deep neural network training on compute clusters. CoRR abs/1511.00175 (2015) - [i2]Peter H. Jin, Kurt Keutzer:
Convolutional Monte Carlo Rollouts in Go. CoRR abs/1512.03375 (2015) - 2014
- [j53]Ekaterina Gonina, Gerald Friedland, Eric Battenberg, Penporn Koanantakool, Michael B. Driscoll, Evangelos Georganas, Kurt Keutzer:
Scalable multimedia content analysis on parallel platforms using python. ACM Trans. Multim. Comput. Commun. Appl. 10(2): 18:1-18:22 (2014) - [i1]Forrest N. Iandola, Matthew W. Moskewicz, Sergey Karayev, Ross B. Girshick, Trevor Darrell, Kurt Keutzer:
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids. CoRR abs/1404.1869 (2014) - 2013
- [c117]Yunsup Lee, David Sheffield, Andrew Waterman, Michael J. Anderson, Kurt Keutzer, Krste Asanovic:
Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition. Hot Chips Symposium 2013: 1-2 - [c116]David Sheffield, Michael J. Anderson, Kurt Keutzer:
Three Fingered Jack: Tackling Portability, Performance, and Productivity with Auto-Parallelized Python. HotPar 2013 - [c115]Forrest N. Iandola, David Sheffield, Michael J. Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer:
Communication-minimizing 2D convolution in GPU registers. ICIP 2013: 2116-2120 - [c114]David Sheffield, Michael J. Anderson, Yunsup Lee, Kurt Keutzer:
Hardware/software codesign for mobile speech recognition. INTERSPEECH 2013: 627-631 - 2012
- [j52]Matthew F. Dixon, Jike Chong, Kurt Keutzer:
Accelerating Value-at-Risk estimation on highly parallel architectures. Concurr. Comput. Pract. Exp. 24(8): 895-907 (2012) - [j51]Mark Murphy, Marcus T. Alley, James Demmel, Kurt Keutzer, Shreyas Vasanawala, Michael Lustig:
Fast ℓ1-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime. IEEE Trans. Medical Imaging 31(6): 1250-1262 (2012) - [c113]David Sheffield, Michael J. Anderson, Kurt Keutzer:
Automatic generation of application-specific accelerators for FPGAs from python loop nests. FPL 2012: 567-570 - [c112]Bor-Yiing Su, Kurt Keutzer:
clSpMV: A Cross-Platform OpenCL SpMV Framework on GPUs. ICS 2012: 353-364 - [c111]Michael J. Anderson, David Sheffield, Kurt Keutzer:
A Predictive Model for Solving Small Linear Algebra Problems in GPU Registers. IPDPS 2012: 2-13 - 2011
- [j50]Victor Pankratius, Wolfram Schulte, Kurt Keutzer:
Guest Editors' Introduction: Parallelism on the Desktop. IEEE Softw. 28(1): 14-16 (2011) - [j49]Kurt Keutzer, Peng Li, Li Shang, Hai Zhou:
A Special Section on Multicore Parallel CAD: Algorithm Design and Programming. ACM Trans. Design Autom. Electr. Syst. 16(3): 21:1-21:2 (2011) - [c110]Ekaterina Gonina, Gerald Friedland, Henry Cook, Kurt Keutzer:
Fast speaker diarization using a high-level scripting language. ASRU 2011: 553-558 - [c109]Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, David Sheffield, Bor-Yiing Su, Narayanan Sundaram:
Considerations When Evaluating Microprocessor Platforms. HotPar 2011 - [c108]Narayanan Sundaram, Kurt Keutzer:
Long term video segmentation through pixel level spectral clustering on GPUs. ICCV Workshops 2011: 475-482 - [c107]Michael J. Anderson, Grey Ballard, James Demmel, Kurt Keutzer:
Communication-Avoiding QR Decomposition for GPUs. IPDPS 2011: 48-58 - [c106]Shreyas Vasanawala, M. J. Murphy, Marcus T. Alley, P. Lai, Kurt Keutzer, John M. Pauly, Michael Lustig:
Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients. ISBI 2011: 1039-1043 - [c105]Youngmin Yi, Chao-Yue Lai, Slav Petrov, Kurt Keutzer:
Efficient Parallel CKY Parsing on GPUs. IWPT 2011: 175-185 - [c104]Bryan Catanzaro, Michael Garland, Kurt Keutzer:
Copperhead: compiling an embedded data parallel language. PPoPP 2011: 47-56 - [c103]Bor-Yiing Su, Tasneem G. Brutch, Kurt Keutzer:
A parallel region based object recognition system. WACV 2011: 81-88 - [p2]Michael J. Anderson, Bryan Catanzaro, Jike Chong, Ekaterina Gonina, Kurt Keutzer, Chao-Yue Lai, Mark Murphy, Bor-Yiing Su, Narayanan Sundaram:
PALLAS: Mapping Applications onto Manycore. Multiprocessor System-on-Chip 2011: 89-113 - 2010
- [j48]Bryan Catanzaro, Kurt Keutzer:
Parallel computing with patterns and frameworks. XRDS 17(1): 22-27 (2010) - [j47]Bryan Catanzaro, Armando Fox, Kurt Keutzer, David A. Patterson, Bor-Yiing Su, Marc Snir, Kunle Olukotun, Pat Hanrahan, Hassan Chafi:
Ubiquitous Parallel Computing from Berkeley, Illinois, and Stanford. IEEE Micro 30(2): 41-55 (2010) - [c102]Narayanan Sundaram, Thomas Brox, Kurt Keutzer:
Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow. ECCV (1) 2010: 438-451 - [c101]Bor-Yiing Su, Tasneem G. Brutch, Kurt Keutzer:
Parallel BFS graph traversal on images using structured grid. ICIP 2010: 4489-4492 - [c100]Jike Chong, Ekaterina Gonina, Kisun You, Kurt Keutzer:
Exploring recognition network representations for efficient speech inference on highly parallel platforms. INTERSPEECH 2010: 1489-1492 - [c99]Dorothea Kolossa, Jike Chong, Steffen Zeiler, Kurt Keutzer:
Efficient manycore CHMM speech recognition for audiovisual and multistream data. INTERSPEECH 2010: 2698-2701
2000 – 2009
- 2009
- [j46]Krste Asanovic, Rastislav Bodík, James Demmel, Tony M. Keaveny, Kurt Keutzer, John Kubiatowicz, Nelson Morgan, David A. Patterson, Koushik Sen, John Wawrzynek, David Wessel, Katherine A. Yelick:
A view of the parallel computing landscape. Commun. ACM 52(10): 56-67 (2009) - [j45]Kisun You, Jike Chong, Youngmin Yi, Ekaterina Gonina, Christopher J. Hughes, Yen-Kuang Chen, Wonyong Sung, Kurt Keutzer:
Parallel scalability in speech recognition. IEEE Signal Process. Mag. 26(6): 124-135 (2009) - [j44]Kurt Keutzer, Peng Li, Li Shang, Hai Zhou:
ACM Transactions on Design Automation of Electronic Systems (TODAES) special section call for papers: Parallel CAD: Algorithm design and programming. ACM Trans. Design Autom. Electr. Syst. 15(1): 9:1-9:2 (2009) - [c98]Nadathur Satish, Narayanan Sundaram, Kurt Keutzer:
Optimizing the use of GPU memory in applications with large data sets. HiPC 2009: 408-418 - [c97]Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram, Yunsup Lee, Mark Murphy, Kurt Keutzer:
Efficient, high-quality image contour detection. ICCV 2009: 2381-2388 - [c96]Jike Chong, Kisun You, Youngmin Yi, Ekaterina Gonina, Christopher J. Hughes, Wonyong Sung, Kurt Keutzer:
Scalable HMM based inference engine in large vocabulary continuous speech recognition. ICME 2009: 1797-1800 - [c95]Mark Murphy, Kurt Keutzer, Hong Wang:
Image feature extraction for mobile processors. IISWC 2009: 138-147 - [c94]Jike Chong, Ekaterina Gonina, Youngmin Yi, Kurt Keutzer:
A fully data parallel WFST-based large vocabulary continuous speech recognition on a graphics processing unit. INTERSPEECH 2009: 1183-1186 - [c93]Matthew Dixon, Jike Chong, Kurt Keutzer:
Acceleration of market value-at-risk estimation. SC-WHPCF 2009 - 2008
- [j43]Wen-mei W. Hwu, Kurt Keutzer, Timothy G. Mattson:
The Concurrency Challenge. IEEE Des. Test Comput. 25(4): 312-320 (2008) - [c92]Bryan Catanzaro, Kurt Keutzer, Bor-Yiing Su:
Parallelizing CAD: a timely research agenda for EDA. DAC 2008: 12-17 - [c91]Sachin S. Sapatnekar, Eshel Haritan, Kurt Keutzer, Anirudh Devgan, Desmond Kirkpatrick, Stephen Meier, Duaine Pryor, Tom Spyrou:
Reinventing EDA with manycore processors. DAC 2008: 126-127 - [c90]Nadathur Satish, Kaushik Ravindran, Kurt Keutzer:
Scheduling task dependence graphs with variable task execution times onto heterogeneous multiprocessors. EMSOFT 2008: 149-158 - [c89]Joel R. Phillips, Kurt Keutzer, Michael Wrinn:
Architecting parallel programs. ICCAD 2008: 4 - [c88]Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer:
Fast support vector machine training and classification on graphics processors. ICML 2008: 104-111 - [r1]Kurt Keutzer, Kaushik Ravindran:
Technology Mapping. Encyclopedia of Algorithms 2008 - 2007
- [b3]David G. Chinnery, Kurt Keutzer:
Closing the Power Gap between ASIC and Custom - Tools and Techniques for Low Power Design. Springer 2007, ISBN 978-0-387-25763-1, pp. I-XII, 1-384 - [c87]Francine Bacchini, Gregory S. Spirakis, Juan Antonio Carballo, Kurt Keutzer, Aart J. de Geus, Fu-Chieh Hsu, Kazu Yamada:
Megatrends and EDA 2017. DAC 2007: 21-22 - [c86]Nadathur Satish, Kaushik Ravindran, Kurt Keutzer:
A decomposition-based constraint optimization approach for statically scheduling task graphs with communication delays to multiprocessors. DATE 2007: 57-62 - [c85]Jike Chong, Nadathur Satish, Bryan Catanzaro, Kaushik Ravindran, Kurt Keutzer:
Efficient Parallelization of H.264 Decoding with Macro Block Level Scheduling. ICME 2007: 1874-1877 - 2005
- [c84]Scott J. Weber, Kurt Keutzer:
Using minimal minterms to represent programmability. CODES+ISSS 2005: 63-68 - [c83]Yujia Jin, Nadathur Satish, Kaushik Ravindran, Kurt Keutzer:
An automated exploration framework for FPGA-based soft multiprocessor systems. CODES+ISSS 2005: 273-278 - [c82]David G. Chinnery, Kurt Keutzer:
Closing the power gap between ASIC and custom: an ASIC perspective. DAC 2005: 275-280 - [c81]Yujia Jin, William Plishker, Kaushik Ravindran, Nadathur Satish, Kurt Keutzer:
Soft multiprocessor systems for network applications (abstract only). FPGA 2005: 271 - [c80]Kaushik Ravindran, Nadathur Satish, Yujia Jin, Kurt Keutzer:
An FPGA-based Soft Multiprocessor System for IPv4 Packet Forwarding. FPL 2005: 487-492 - [c79]David G. Chinnery, Kurt Keutzer:
Linear programming for sizing, Vth and Vdd assignment. ISLPED 2005: 149-154 - 2004
- [b2]David G. Chinnery, Kurt Keutzer:
Closing the Gap Between ASIC and Custom - Tools and Techniques for High-Performance ASIC Design. Springer 2004, ISBN 978-1-4020-7113-3, pp. I-XIV, 1-414 - [b1]Pinhong Chen, Desmond Kirkpatrick, Kurt Keutzer:
Static Crosstalk-Noise Analysis - For Deep Sub-Micron Digital Designs. Springer 2004, ISBN 978-1-4020-8091-3, pp. I-XVIII, 1-113 - [j42]Niraj Shah, William Plishker, Kaushik Ravindran, Kurt Keutzer:
NP-Click: A Productive Software Development Approach for Network Processors. IEEE Micro 24(5): 45-54 (2004) - [c78]Scott J. Weber, Matthew W. Moskewicz, Matthias Gries, Christian Sauer, Kurt Keutzer:
Fast cycle-accurate simulation and instruction set generation for constraint-based descriptions of programmable architectures. CODES+ISSS 2004: 18-23 - [c77]Robert Dahlberg, Kurt Keutzer, R. Bingham, Aart J. de Geus, Walden C. Rhines:
EDA: this is serious business. DAC 2004: 1 - [c76]Richard Goldman, Kurt Keutzer, Clive Bittlestone, Ahsan Bootehsaz, Shekhar Y. Borkar, E. Chen, Louis Scheffer, Chandramouli Visweswariah:
Is statistical timing statistically significant? DAC 2004: 498 - [c75]Christian Sauer, Matthias Gries, José Ignacio Gómez, Scott J. Weber, Kurt Keutzer:
Developing a Flexible Interface for RapidIO, Hypertransport, and PCI-Express. PARELEC 2004: 129-134 - 2003
- [c74]Chidamber Kulkarni, Matthias Gries, Christian Sauer, Kurt Keutzer:
Programming challenges in network processor deployment. CASES 2003: 178-187 - [c73]Matthias Gries, Chidamber Kulkarni, Christian Sauer, Kurt Keutzer:
Comparing Analytical Modeling with Simulation for Network Processors: A Case Study. DATE 2003: 20256-20261 - [c72]Masayuki Ito, David G. Chinnery, Kurt Keutzer:
Low Power Multiplication Algorithm for Switching Activity Reduction through Operand Decomposition. ICCD 2003: 21- - [c71]David Nguyen, Abhijit Davare, Michael Orshansky, David G. Chinnery, Brandon Thompson, Kurt Keutzer:
Minimization of dynamic and static power through joint assignment of threshold voltages and sizing optimization. ISLPED 2003: 158-163 - [p1]Andrew Mihal, Kurt Keutzer:
Mapping Concurrent Applications onto Architectural Platforms. Networks on Chip 2003: 39-59 - 2002
- [j41]Andrew Mihal, Chidamber Kulkarni, Matthew W. Moskewicz, Mel M. Tsai, Niraj Shah, Scott J. Weber, Yujia Jin, Kurt Keutzer, Christian Sauer, Kees A. Vissers, Sharad Malik:
Developing Architectural Platforms: A Disciplined Approach. IEEE Des. Test Comput. 19(6): 6-16 (2002) - [j40]Michael Orshansky, Linda Milor, Pinhong Chen, Kurt Keutzer, Chenming Hu:
Impact of spatial intrachip gate length variability on theperformance of high-speed digital circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 21(5): 544-553 (2002) - [c70]Gary Smith, Daya Nadamuni, Sharad Malik, Rick Chapman, John Fogelin, Kurt Keutzer, Grant Martin, Brian Bailey:
Unified tools for SoC embedded systems: mission critical, mission impossible or mission irrelevant? DAC 2002: 479 - [c69]Michael Orshansky, Kurt Keutzer:
A general probabilistic framework for worst case timing analysis. DAC 2002: 556-561 - [c68]Wei Qin, Subramanian Rajagopalan, Manish Vachharajani, Hangsheng Wang, Xinping Zhu, David I. August, Kurt Keutzer, Sharad Malik, Li-Shiuan Peh:
Design Tools for Application Specific Embedded Processors. EMSOFT 2002: 319-333 - [c67]Pinhong Chen, Yuji Kukimoto, Kurt Keutzer:
Refining switching window by time slots for crosstalk noise calculation. ICCAD 2002: 583-586 - [c66]Kurt Keutzer, Sharad Malik, A. Richard Newton:
From ASIC to ASIP: The Next Design Discontinuity. ICCD 2002: 84-90 - [c65]Pinhong Chen, Yuji Kukimoto, Chin-Chi Teng, Kurt Keutzer:
On convergence of switching windows computation in presence of crosstalk noise. ISPD 2002: 84-89 - [c64]Kurt Keutzer, Michael Orshansky:
From blind certainty to informed uncertainty. Timing Issues in the Specification and Synthesis of Digital Systems 2002: 37-41 - [c63]Farhana Sheikh, Andreas Kuehlmann, Kurt Keutzer:
Minimum-power retiming for dual-supply CMOS circuits. Timing Issues in the Specification and Synthesis of Digital Systems 2002: 43-49 - 2001
- [j39]Serdar Tasiran, Kurt Keutzer:
Coverage Metrics for Functional Validation of Hardware Designs. IEEE Des. Test Comput. 18(4): 36-45 (2001) - [j38]Mukul R. Prasad, Philip Chong, Kurt Keutzer:
Why is Combinational ATPG Efficiently Solvable for Practical VLSI Circuits? J. Electron. Test. 17(6): 509-527 (2001) - [j37]Randal E. Bryant, Kwang-Ting Cheng, Andrew B. Kahng, Kurt Keutzer, Wojciech Maly, A. Richard Newton, Lawrence T. Pileggi, Jan M. Rabaey, Alberto L. Sangiovanni-Vincentelli:
Limitations and challenges of computer-aided design technology for CMOS VLSI. Proc. IEEE 89(3): 341-365 (2001) - [j36]Dennis Sylvester, Kurt Keutzer:
Impact of small process geometries on microarchitectures in systems on a chip. Proc. IEEE 89(4): 467-489 (2001) - [j35]Farzan Fallah, Srinivas Devadas, Kurt Keutzer:
Functional vector generation for HDL models using linearprogramming and Boolean satisfiability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 20(8): 994-1002 (2001) - [j34]Farzan Fallah, Srinivas Devadas, Kurt Keutzer:
OCCOM-efficient computation of observability-based code coveragemetrics for functional verification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 20(8): 1003-1015 (2001) - [c62]Patrick Schaumont, Ingrid Verbauwhede, Kurt Keutzer, Majid Sarrafzadeh:
A Quick Safari Through the Reconfiguration Jungle. DAC 2001: 172-177 - [c61]David G. Chinnery, Borivoje Nikolic, Kurt Keutzer:
Achieving 550Mhz in an ASIC Methodology. DAC 2001: 420-425 - [c60]Marco Sgroi, Michael Sheets, Andrew Mihal, Kurt Keutzer, Sharad Malik, Jan M. Rabaey, Alberto L. Sangiovanni-Vincentelli:
Addressing the System-on-a-Chip Interconnect Woes Through Communication-Based Design. DAC 2001: 667-672 - [c59]Bret M. Victor, Kurt Keutzer:
Bus Encoding to Prevent Crosstalk Delay. ICCAD 2001: 57- - [c58]Serdar Tasiran, Farzan Fallah, David G. Chinnery, Scott J. Weber, Kurt Keutzer:
A Functional Validation Technique: Biased-Random Simulation Guided by Observability-Based Coverage. ICCD 2001: 82-88 - [c57]Pinhong Chen, Kurt Keutzer, Desmond Kirkpatrick:
Scripting for EDA Tools: A Case Study. ISQED 2001: 87-93 - 2000
- [j33]Dennis Sylvester, Kurt Keutzer:
A global wiring paradigm for deep submicron design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 19(2): 242-252 (2000) - [j32]Kurt Keutzer, A. Richard Newton, Jan M. Rabaey, Alberto L. Sangiovanni-Vincentelli:
System-level design: orthogonalization of concerns andplatform-based design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 19(12): 1523-1543 (2000) - [c56]David G. Chinnery, Kurt Keutzer:
Closing the gap between ASIC and custom: an ASIC perspective. DAC 2000: 637-642 - [c55]Michael Orshansky, Linda Milor, Pinhong Chen, Kurt Keutzer, Chenming Hu:
Impact of Systematic Spatial Intra-Chip Gate Length Variability on Performance of High-Speed Digital Circuits. ICCAD 2000: 62-67 - [c54]Pinhong Chen, Desmond Kirkpatrick, Kurt Keutzer:
Miller Factor for Gate-Level Coupling Delay Calculation. ICCAD 2000: 68-74 - [c53]Pinhong Chen, Desmond Kirkpatrick, Kurt Keutzer:
Switching Window Computation for Static Timing Analysis in Presence of Crosstalk Noise. ICCAD 2000: 331-337
1990 – 1999
- 1999
- [j31]Dennis Sylvester, Kurt Keutzer:
Rethinking Deep-Submicron Circuit Design. Computer 32(11): 25-33 (1999) - [j30]Stan Y. Liao, Srinivas Devadas, Kurt Keutzer:
A text-compression-based method for code size minimization in embedded systems. ACM Trans. Design Autom. Electr. Syst. 4(1): 12-38 (1999) - [c52]Mukul R. Prasad, Philip Chong, Kurt Keutzer:
Why is ATPG Easy? DAC 1999: 22-28 - [c51]Raul Camposano, Kurt Keutzer, Jerry Fiddler, Alberto L. Sangiovanni-Vincentelli, Jim Lansford:
HW and SW in Embedded System Design: Loveboat, Shipwreck, or Ships Passing in the Night. DAC 1999: 76-77 - [c50]Kurt Keutzer, Kurt Wolf, David Pietromonaco, Jay Maxey, Jeff Lewis, Martin Lefebvre, Jeff Burns:
Panel: Cell Libraries - Build vs. Buy; Static vs. Dynamic. DAC 1999: 341-342 - [c49]Pinhong Chen, Kurt Keutzer:
Towards true crosstalk noise analysis. ICCAD 1999: 132-138 - [c48]Kurt Keutzer, A. Richard Newton:
The MARCO/DARPA Gigascale Silicon Research Center. ICCD 1999: 14- - [c47]Dennis Sylvester, Kurt Keutzer:
Getting to the bottom of deep submicron II: a global wiring paradigm. ISPD 1999: 193-200 - 1998
- [j29]Stan Y. Liao, Srinivas Devadas, Kurt Keutzer, Steven W. K. Tjiang, Albert R. Wang:
Code Optimization Techniques in Embedded DSP Microprocessors. Des. Autom. Embed. Syst. 3(1): 59-73 (1998) - [j28]Stan Y. Liao, Srinivas Devadas, Kurt Keutzer:
Code density optimization for embedded DSP processors using data compression techniques. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 17(7): 601-608 (1998) - [j27]Stan Y. Liao, Kurt Keutzer, Steven W. K. Tjiang, Srinivas Devadas:
A new viewpoint on code generation for directed acyclic graphs. ACM Trans. Design Autom. Electr. Syst. 3(1): 51-75 (1998) - [c46]Farzan Fallah, Srinivas Devadas, Kurt Keutzer:
OCCOM: Efficient Computation of Observability-Based Code Coverage Metrics for Functional Verification. DAC 1998: 152-157 - [c45]Farzan Fallah, Srinivas Devadas, Kurt Keutzer:
Functional Vector Generation for HDL Models Using Linear Programming and 3-Satisfiability. DAC 1998: 528-533 - [c44]Dennis Sylvester, Kurt Keutzer:
Getting to the bottom of deep submicron. ICCAD 1998: 203-211 - [c43]Srinivas Devadas, Kurt Keutzer:
An algorithmic approach to optimizing fault coverage for BIST logic synthesis. ITC 1998: 164-173 - 1997
- [j26]José Monteiro, Srinivas Devadas, Abhijit Ghosh, Kurt Keutzer, Jacob K. White:
Estimation of average switching activity in combinational logic circuits using symbolic simulation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 16(1): 121-127 (1997) - [c42]Kurt Keutzer:
Challenges in CAD for the One Million Gate FPGA. FPGA 1997: 133-134 - [c41]Kurt Keutzer, A. Richard Newton, Narendra V. Shenoy:
The future of logic synthesis and physical design in deep-submicron process geometries. ISPD 1997: 218-224 - 1996
- [j25]Srinivas Devadas, Kurt Keutzer:
Addendum to "Synthesis of robust delay-fault testable circuits: Theory". IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 15(4): 445-446 (1996) - [j24]Stan Y. Liao, Srinivas Devadas, Kurt Keutzer, Steven W. K. Tjiang, Albert R. Wang:
Storage Assignment to Decrease Code Size. ACM Trans. Program. Lang. Syst. 18(3): 235-253 (1996) - [c40]Kurt Keutzer:
The Need for Formal Methods for Integrated Circuit Design. FMCAD 1996: 1-18 - [c39]Srinivas Devadas, Abhijit Ghosh, Kurt Keutzer:
An observability-based code coverage metric for functional simulation. ICCAD 1996: 418-425 - [c38]Kurt Keutzer, Olivier Coudert, Ramsey W. Haddad:
What is the state of the art in commercial EDA tools for low power? ISLPED 1996: 181-187 - [c37]Kurt Keutzer, Sharad Malik:
Register Transfer Level Synthesis: From Theory to Practice. VLSI Design 1996: 2 - [c36]Anantha P. Chandrakasan, Kurt Keutzer, A. Khandekar, S. L. Maskara, B. D. Pradhan, Mani B. Srivastava:
Mobile Communications: Demands on VLSI Technology, Design and CAD. VLSI Design 1996: 432-436 - 1995
- [j23]Luciano Lavagno, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Synthesis of hazard-free asynchronous circuits with bounded wire delays. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 14(1): 61-86 (1995) - [j22]Kurt Keutzer, Luciano Lavagno, Alberto L. Sangiovanni-Vincentelli:
Synthesis for testability techniques for asynchronous circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 14(12): 1569-1577 (1995) - [c35]Stan Y. Liao, Srinivas Devadas, Kurt Keutzer:
Code density optimization for embedded DSP processors using data compression techniques. ARVLSI 1995: 272-285 - [c34]Stan Y. Liao, Srinivas Devadas, Kurt Keutzer, Steven W. K. Tjiang, Albert R. Wang:
Code Optimization Techniques for Embedded DSP Microprocessors. DAC 1995: 599-604 - [c33]Peter Vanbekbergen, Albert R. Wang, Kurt Keutzer:
A Design and Validation System for Asynchronous Circuits. DAC 1995: 725-730 - [c32]Stan Y. Liao, Srinivas Devadas, Kurt Keutzer, Steven W. K. Tjiang:
Instruction selection using binate covering for code size optimization. ICCAD 1995: 393-399 - [c31]Stan Y. Liao, Srinivas Devadas, Kurt Keutzer, Steven W. K. Tjiang, Albert R. Wang:
Storage Assignment to Decrease Code Size. PLDI 1995: 186-195 - [e1]Massoud Pedram, Robert W. Brodersen, Kurt Keutzer:
Proceedings of the 1995 International Symposium on Low Power Design 1995, Dana Point, California, USA, April 23-26, 1995. ACM 1995, ISBN 0-89791-744-8 [contents] - 1994
- [j21]Srinivas Devadas, Kurt Keutzer, Sharad Malik, Albert R. Wang:
Event suppression: improving the efficiency of timing simulation for synchronous digital circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 13(6): 814-822 (1994) - [j20]Srinivas Devadas, Kurt Keutzer, Sharad Malik, Albert R. Wang:
Certified timing verification and the transition delay of a logic circuit. IEEE Trans. Very Large Scale Integr. Syst. 2(3): 333-342 (1994) - [j19]Srinivas Devadas, Kurt Keutzer, Sharad Malik, Albert R. Wang:
Verification of asynchronous interface circuits with bounded wire delays. J. VLSI Signal Process. 7(1-2): 161-182 (1994) - [c30]Kurt Keutzer:
Hardware-Software Co-Design and ESDA. DAC 1994: 435-436 - [c29]Guido Araujo, Srinivas Devadas, Kurt Keutzer, Stan Y. Liao, Sharad Malik, Ashok Sudarsanam, Steven W. K. Tjiang, Albert R. Wang:
Challenges in code generation for embedded processors. Code Generation for Embedded Processors 1994: 48-64 - 1993
- [j18]Srinivas Devadas, Kurt Keutzer, Sharad Malik:
A synthesis-based test generation and compaction algorithm for multifaults. J. Electron. Test. 4(1): 91-104 (1993) - [j17]Pranav Ashar, Srinivas Devadas, Kurt Keutzer:
Gate-Delay-Fault Testability Properties of Multiplexor-Based Networks. Formal Methods Syst. Des. 2(1): 93-112 (1993) - [j16]Pranav Ashar, Srinivas Devadas, Kurt Keutzer:
Path-delay-fault testability properties of multiplexor-based networks. Integr. 15(1): 1-23 (1993) - [j15]Kwang-Ting Cheng, Srinivas Devadas, Kurt Keutzer:
Delay-fault test generation and synthesis for testability under a standard scan design methodology. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 12(8): 1217-1231 (1993) - [j14]Srinivas Devadas, Kurt Keutzer, Sharad Malik:
Computation of floating mode delay in combinational circuits: theory and algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 12(12): 1913-1923 (1993) - [j13]Srinivas Devadas, Kurt Keutzer, Sharad Malik, Albert R. Wang:
Computation of floating mode delay in combinational circuits: practice and implementation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 12(12): 1924-1936 (1993) - [j12]Horng-Fei Jyu, Sharad Malik, Srinivas Devadas, Kurt Keutzer:
Statistical timing analysis of combinational logic circuits. IEEE Trans. Very Large Scale Integr. Syst. 1(2): 126-137 (1993) - [j11]Michael J. Bryan, Srinivas Devadas, Kurt Keutzer:
Analysis and Design of Regular Structures for Robust Dynamic Fault Testability. VLSI Design 1(1): 45-60 (1993) - [c28]Kurt Keutzer:
What is the Next Big Productivity Boost for Designers? (Panel Abstract). DAC 1993: 141 - 1992
- [j10]Srinivas Devadas, Kurt Keutzer:
Synthesis of robust delay-fault-testable circuits: theory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 11(1): 87-101 (1992) - [j9]Srinivas Devadas, Kurt Keutzer:
Synthesis of robust delay-fault-testable circuits: practice. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 11(3): 277-300 (1992) - [j8]Gary D. Hachtel, Reily M. Jacoby, Kurt Keutzer, Christopher R. Morrison:
On properties of algebraic transformations and the synthesis of multifault-irredundant circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 11(3): 313-321 (1992) - [j7]Srinivas Devadas, Kurt Keutzer, Jacob K. White:
Estimation of power dissipation in CMOS combinational circuits using Boolean function manipulation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 11(3): 373-383 (1992) - [j6]Michael J. Bryan, Srinivas Devadas, Kurt Keutzer:
Necessary and sufficient conditions for hazard-free robust transistor stuck-open-fault testability in multilevel networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 11(6): 800-803 (1992) - [j5]Srinivas Devadas, Kurt Keutzer:
Validatable nonrobust delay-fault testable circuits via logic synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 11(12): 1559-1573 (1992) - [c27]Abhijit Ghosh, Srinivas Devadas, Kurt Keutzer, Jacob K. White:
Estimation of Average Switching Activity in Combinational and Sequential Circuits. DAC 1992: 253-259 - [c26]Srinivas Devadas, Kurt Keutzer, Sharad Malik, Albert R. Wang:
Certified Timing Verification and the Transition Delay of a Logic Circuit. DAC 1992: 549-555 - [c25]Srinivas Devadas, Kurt Keutzer, Sharad Malik, Albert R. Wang:
Verification of asynchronous interface circuits with bounded wire delays. ICCAD 1992: 188-195 - [c24]Amelia Shen, Abhijit Ghosh, Srinivas Devadas, Kurt Keutzer:
On average power dissipation and random pattern testability of CMOS combinational logic networks. ICCAD 1992: 402-407 - [c23]Srinivas Devadas, Horng-Fei Jyu, Kurt Keutzer, Sharad Malik:
Statistical Timing Analysis of Combinational Circuits. ICCD 1992: 38-43 - 1991
- [j4]Srinivas Devadas, Kurt Keutzer:
An automata-theoretic approach to behavioral equivalence. Integr. 12(2): 109-129 (1991) - [j3]Srinivas Devadas, Kurt Keutzer:
A unified approach to the synthesis of fully testable sequential machines. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 10(1): 39-50 (1991) - [j2]Kurt Keutzer, Sharad Malik, Alexander Saldanha:
Is redundancy necessary to reduce delay? IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 10(4): 427-435 (1991) - [c22]Kwang-Ting Cheng, Srinivas Devadas, Kurt Keutzer:
Robust Delay-Fault Test Generation and Synthesis for Testability Under A Standard Scan Design Methodology. DAC 1991: 80-86 - [c21]Luciano Lavagno, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Algorithms for Synthesis of Hazard-Free Asynchronous Circuits. DAC 1991: 302-308 - [c20]Srinivas Devadas, Kurt Keutzer, Sharad Malik:
A Synthesis-Based Test Generation and Compaction Algorithm for Multifaults. DAC 1991: 359-365 - [c19]Srinivas Devadas, Kurt Keutzer, Sharad Malik:
Delay Computation in Combinational Logic Circuits: Theory and Algorithms. ICCAD 1991: 176-179 - [c18]Kurt Keutzer, Luciano Lavagno, Alberto L. Sangiovanni-Vincentelli:
Synthesis for Testability Techniques for Asynchronous Circuits. ICCAD 1991: 326-329 - [c17]Srinivas Devadas, Kurt Keutzer, A. S. Krishnakumar:
Design Verfication and Reachability Analysis Using Algebraic Manipulation. ICCD 1991: 250-258 - [c16]Kwang-Ting Cheng, Srinivas Devadas, Kurt Keutzer:
A Partial Enhanced-Scan Approach to Robust Delay-Fault Test Generation for Sequential Circuits. ITC 1991: 403-410 - [c15]Pranav Ashar, Srinivas Devadas, Kurt Keutzer:
Gate-Delay-Fault Testability Properties of Multiplexor-Based Networks. ITC 1991: 887-896 - [c14]Kurt Keutzer:
The Need for Formal Verification in Hardware Design and What Formal Verification Has Not Done for Me Lately. TPHOLs 1991: 77-86 - [c13]Srinivas Devadas, Kurt Keutzer, Abhijit Ghosh:
Recent progress in synthesis for testability. VTS 1991: 22-29 - 1990
- [c12]Srinivas Devadas, Kurt Keutzer:
Synthesis and Optimization Procedures for Robustly Delay-Fault Testable Combinational Logic Circuits. DAC 1990: 221-227 - [c11]Kurt Keutzer, Sharad Malik, Alexander Saldanha:
Is Redundancy Necessary to Reduce Delay. DAC 1990: 228-234 - [c10]Kurt Keutzer:
Impact and Evaluation of Competing Implementation Media for ASIC's (Panel Abstract). DAC 1990: 600 - [c9]Srinivas Devadas, Kurt Keutzer:
An Automata-Theoretic Approach to Behavioral Equivalence. ICCAD 1990: 30-33 - [c8]Michael J. Bryan, Srinivas Devadas, Kurt Keutzer:
Testability-Preserving Circuit Transformations. ICCAD 1990: 456-459 - [c7]Srinivas Devadas, Kurt Keutzer:
Design of integrated circuits fully testable for delay-faults and multifaults. ITC 1990: 284-293
1980 – 1989
- 1989
- [j1]Wayne H. Wolf, Kurt Keutzer, Janaki Akella:
Addendum to 'A kernel-finding state assignment algorithm for multi-level logic'. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 8(8): 925-927 (1989) - [c6]Kurt Keutzer:
Three Competing Design Methodologies for ASIC's: Architectual Synthesis, Logic Synthesis, Logic Synthesis and Module Generation. DAC 1989: 308-313 - [c5]Srinivas Devadas, Kurt Keutzer:
Boolean minimization and algebraic factorization procedures for fully testable sequential machines. ICCAD 1989: 208-211 - [c4]Gary D. Hachtel, Reily M. Jacoby, Kurt Keutzer, Christopher R. Morrison:
On properties of algebraic transformation and the multifault testability of multilevel logic. ICCAD 1989: 422-425 - 1988
- [c3]Wayne H. Wolf, Kurt Keutzer, Janaki Akella:
A Kernel-Finding State Assignment Algorithm for Multi-Level Logic. DAC 1988: 433-438 - [c2]Kurt Keutzer, Wayne H. Wolf:
Anatomy of a Hardware Compiler. PLDI 1988: 95-104 - 1987
- [c1]Kurt Keutzer:
DAGON: Technology Binding and Local Optimization by DAG Matching. DAC 1987: 341-347
Coauthor Index
Srini Devadas
aka: Srinivas Devadas
aka: Srinivas Devadas
[j35] [j34] [j30] [j29] [j28] [j27] [c46] [c45] [c43] [j26] [j25] [j24] [c39] [c35] [c34] [c32] [c31] [j21] [j20] [j19] [c29] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j7] [j6] [j5] [c27] [c26] [c25] [c24] [c23] [j4] [j3] [c22] [c20] [c19] [c17] [c16] [c15] [c13] [c12] [c9] [c8] [c7] [c5]
[c234] [c231] [c230] [c228] [c224] [c223] [i167] [i166] [i155] [i150] [i146] [i140] [i139] [c217] [c216] [c213] [c211] [i138] [i130] [i128] [i125] [i121] [i118] [i117] [i115] [i113] [c196] [c190] [i107] [i105] [i101] [i98] [i97] [c182] [c181] [c180] [c176] [i94] [i89] [i86] [c168] [c165] [c157] [i74] [i72] [i63] [i53] [i51] [i47] [c151] [c144] [i40] [i36] [i33]
Amir Gholami
aka: Amir Gholaminejad
aka: Amir Gholaminejad
[j67] [c233] [c223] [c222] [i168] [i163] [i162] [i154] [i149] [i148] [c206] [c205] [i137] [i136] [i131] [i130] [i123] [i116] [c200] [c195] [c194] [c193] [c190] [i110] [i106] [c188] [c177] [c176] [i95] [i94] [i89] [i87] [i81] [c169] [c168] [c166] [c165] [c160] [c159] [c157] [c156] [i74] [i67] [i65] [i60] [i51] [j58] [j57] [c153] [c151] [c147] [c143] [i43] [i42] [i40] [i39] [i36] [i35] [i33] [i30] [c140] [c139] [c138] [c130] [c127] [c126] [i29] [i27] [i25] [i22] [i21] [i18] [i16] [i12] [i11]
Joseph Gonzalez 0001
aka: Joseph E. Gonzalez
aka: Joseph E. Gonzalez
[j67] [c233] [c223] [c222] [i168] [i163] [i162] [i153] [c206] [c205] [i137] [i136] [i131] [i130] [i116] [c200] [c194] [c193] [c190] [i110] [i106] [c188] [c183] [c177] [c176] [i95] [i94] [i89] [i87] [i85] [i77] [c169] [c168] [c166] [c165] [c160] [c157] [c156] [i74] [i67] [i65] [i60] [i51] [c153] [c151] [c143] [i42] [i40] [i39] [i36] [i33] [i30] [c127] [i29] [i22] [i18] [i16]
Colorado Reed
aka: Colorado J. Reed
aka: Colorado J. Reed
[c209] [i129] [j63] [c201] [c189] [c181] [c179] [c175] [i93] [i92] [i84] [i75] [c164] [i73] [i72] [i66] [i64] [i63] [i59] [i58] [i49] [j58] [c154] [c152] [c148] [c146] [c144] [i41] [i31] [c140] [c139] [c138] [c133] [c129] [i28] [i27] [i26] [i25] [i23] [i20] [i19] [i17] [c123] [c122] [i14] [i12] [i8] [i5]
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