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ORCIDKurt Keutzer
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 2021
[c168]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- [i76]Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer:
I-BERT: Integer-only BERT Quantization. CoRR abs/2101.01321 (2021) - [i75]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) - 2020
- [j56]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) - [c167]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 - [c166]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 - [c165]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 - [c164]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 - [c163]Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
ZeroQ: A Novel Zero Shot Quantization Framework. CVPR 2020: 13166-13175 - [c162]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 - [c161]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 - [c160]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 - [c159]Sheng Shen, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
PowerNorm: Rethinking Batch Normalization in Transformers. ICML 2020: 8741-8751 - [c158]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 - [c157]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 - [c156]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 - [c155]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
- [j55]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) - [j54]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) - [j53]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) - [c154]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 - [c153]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 - [c152]Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney:
Trust Region Based Adversarial Attack on Neural Networks. CVPR 2019: 11350-11359 - [c151]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 - [c150]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 - [c149]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 - [c148]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 - [c147]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 - [c146]Amir Gholaminejad, Kurt Keutzer, George Biros:
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs. IJCAI 2019: 730-736 - [c145]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 - [c144]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 - [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
- [j52]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
- [j51]Kurt Keutzer:
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