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FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding


Oct 28, 2021
Sai Qian Zhang, Bradley McDanel, H. T. Kung


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Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy


Apr 23, 2021
Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung


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Term Revealing: Furthering Quantization at Run Time on Quantized DNNs


Jul 26, 2020
H. T. Kung, Bradley McDanel, Sai Qian Zhang

* 13 pages, 19 figures, 4 tables, To appear in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020 Update: Revised writing/figures and added more references for Section IV Update: Revised Section IV writing/figures and added additional references on signed digit representations 

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DaiMoN: A Decentralized Artificial Intelligence Model Network


Jul 19, 2019
Surat Teerapittayanon, H. T. Kung

* 2019 IEEE International Conference on Blockchain 

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CheckNet: Secure Inference on Untrusted Devices


Jun 17, 2019
Marcus Comiter, Surat Teerapittayanon, H. T. Kung


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Full-stack Optimization for Accelerating CNNs with FPGA Validation


May 01, 2019
Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong


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Adversarial Learning of Semantic Relevance in Text to Image Synthesis


Dec 12, 2018
Miriam Cha, Youngjune L. Gown, H. T. Kung


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Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization


Nov 07, 2018
H. T. Kung, Bradley McDanel, Sai Qian Zhang

* To appear in ASPLOS 2019 

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Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference


Oct 21, 2017
Bradley McDanel, Surat Teerapittayanon, H. T. Kung


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Embedded Binarized Neural Networks


Sep 06, 2017
Bradley McDanel, Surat Teerapittayanon, H. T. Kung


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BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks


Sep 06, 2017
Surat Teerapittayanon, Bradley McDanel, H. T. Kung


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Distributed Deep Neural Networks over the Cloud, the Edge and End Devices


Sep 06, 2017
Surat Teerapittayanon, Bradley McDanel, H. T. Kung


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Language Modeling by Clustering with Word Embeddings for Text Readability Assessment


Sep 05, 2017
Miriam Cha, Youngjune Gwon, H. T. Kung


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Adversarial nets with perceptual losses for text-to-image synthesis


Aug 30, 2017
Miriam Cha, Youngjune Gwon, H. T. Kung


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Multimodal Sparse Coding for Event Detection


May 17, 2016
Youngjune Gwon, William Campbell, Kevin Brady, Douglas Sturim, Miriam Cha, H. T. Kung

* Multimodal Machine Learning Workshop at NIPS 2015 

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Multimodal sparse representation learning and applications


Mar 02, 2016
Miriam Cha, Youngjune Gwon, H. T. Kung


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