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I-BERT: Integer-only BERT Quantization

Jan 05, 2021
Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer


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Reservoir Transformer

Dec 30, 2020
Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela


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BeBold: Exploration Beyond the Boundary of Explored Regions

Dec 15, 2020
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian


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Cross-Domain Sentiment Classification with In-Domain Contrastive Learning

Dec 05, 2020
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer

* 10pages, 2 figures, accepted to NeurIPS 2020 Workshop on Self-supervised Learning. arXiv admin note: text overlap with arXiv:2010.16088 

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Annotation-Efficient Untrimmed Video Action Recognition

Nov 30, 2020
Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura


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FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge

Nov 25, 2020
Bichen Wu, Qing He, Peizhao Zhang, Thilo Koehler, Kurt Keutzer, Peter Vajda


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Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation

Nov 25, 2020
Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer


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HAWQV3: Dyadic Neural Network Quantization

Nov 20, 2020
Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer


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Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources

Nov 17, 2020
Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer


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Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization

Nov 12, 2020
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer

* 5 pages, 1 figure 

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Cross-Domain Sentiment Classification With Contrastive Learning and Mutual Information Maximization

Oct 30, 2020
Tian Li, Xiang Chen, Shanghang Zhang, Zhen Dong, Kurt Keutzer


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Multi-Agent Collaboration via Reward Attribution Decomposition

Oct 16, 2020
Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian


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Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

Oct 12, 2020
Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao

* Preprint 

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A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Sep 19, 2020
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


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Evaluating Self-Supervised Pretraining Without Using Labels

Sep 16, 2020
Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer


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ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation

Sep 07, 2020
Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer


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Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space

Aug 22, 2020
Sicheng Zhao, Yaxian Li, Xingxu Yao, Weizhi Nie, Pengfei Xu, Jufeng Yang, Kurt Keutzer

* Accepted by ACM Multimedia 2020 

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Boundary thickness and robustness in learning models

Jul 09, 2020
Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney


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Rethinking Distributional Matching Based Domain Adaptation

Jul 03, 2020
Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer

* Preprint version 

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Visual Transformers: Token-based Image Representation and Processing for Computer Vision

Jul 02, 2020
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Masayoshi Tomizuka, Kurt Keutzer, Peter Vajda


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CoDeNet: Algorithm-hardware Co-design for Deformable Convolution

Jun 12, 2020
Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek

* https://github.com/DequanWang/CoDeNet. arXiv admin note: text overlap with arXiv:2002.08357 

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ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

Jun 01, 2020
Zhewei Yao, Amir Gholami, Sheng Shen, Kurt Keutzer, Michael W. Mahoney


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SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation

Apr 03, 2020
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

* Code and data are available at: https://github.com/chenfengxu714/SqueezeSegV3.git 

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Rethinking Batch Normalization in Transformers

Mar 17, 2020
Sheng Shen, Zhewei Yao, Amir Gholami, Michael Mahoney, Kurt Keutzer


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Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers

Feb 26, 2020
Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez


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