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Interpretable Visual Reasoning via Induced Symbolic Space

Nov 23, 2020
Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi


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Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices

Oct 15, 2020
Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-mei Hwu, Deming Chen

* GLSVLSI, September 7-9, 2020 

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Exploring Semantic Capacity of Terms

Oct 05, 2020
Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-mei Hwu, Jinjun Xiong

* Accepted to EMNLP 2020 

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EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions

May 06, 2020
Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei Hwu, Deming Chen

* Accepted by Design Automation Conference (DAC'2020) 

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Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

Apr 22, 2020
Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerio Feris, Jinjun Xiong, Wen-mei Hwu, Thomas S. Huang, Honghui Shi

* CVPR 2020 

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MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale

Feb 19, 2020
Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-mei Hwu


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DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs

Nov 20, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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The Design and Implementation of a Scalable DL Benchmarking Platform

Nov 19, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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Benanza: Automatic $μ$Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs

Nov 19, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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DLBricks: Composable Benchmark Generation toReduce Deep Learning Benchmarking Effort on CPUs

Nov 18, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving

Nov 18, 2019
Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-mei Hwu, Junli Gu, Deming Chen

* 8 pages, ICCAD 2019 

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Benanza: Automatic uBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs

Nov 16, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Sep 20, 2019
Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas Huang, Honghui Shi, Wen-mei Hwu, Deming Chen


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Across-Stack Profiling and Characterization of Machine Learning Models on GPUs

Aug 19, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-mei Hwu


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SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

Jul 09, 2019
Xiaofan Zhang, Cong Hao, Haoming Lu, Jiachen Li, Yuhong Li, Yuchen Fan, Kyle Rupnow, Jinjun Xiong, Thomas Huang, Honghui Shi, Wen-mei Hwu, Deming Chen


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A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices

May 20, 2019
Xiaofan Zhang, Cong Hao, Yuhong Li, Yao Chen, Jinjun Xiong, Wen-mei Hwu, Deming Chen

* Accepted by the ICML 2019 Workshop on On-Device Machine Learning & Compact Deep Neural Network Representations (ODML-CDNNR) 

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Challenges and Pitfalls of Reproducing Machine Learning Artifacts

Apr 29, 2019
Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-mei Hwu


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FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge

Apr 09, 2019
Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-mei Hwu, Deming Chen

* Accepted by Design Automation Conference (DAC'2019) 

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Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus

Apr 08, 2019
Hongyu Gong, Suma Bhat, Lingfei Wu, Jinjun Xiong, Wen-mei Hwu


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