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Theoretical Foundations of Hyperdimensional Computing


Oct 14, 2020
Anthony Thomas, Sanjoy Dasgupta, Tajana Rosing


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SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation


Jul 20, 2020
Behnam Khaleghi, Sahand Salamat, Anthony Thomas, Fatemeh Asgarinejad, Yeseong Kim, Tajana Rosing

* A shorter version is accepted in ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED 2020) 

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Prive-HD: Privacy-Preserved Hyperdimensional Computing


May 14, 2020
Behnam Khaleghi, Mohsen Imani, Tajana Rosing

* Accepted in Design Automation Conference (DAC) 2020 

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A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning


Dec 16, 2019
Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogerio Feris


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AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning


Dec 09, 2019
Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing


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Learning with Long-term Remembering: Following the Lead of Mixed Stochastic Gradient


Oct 31, 2019
Yunhui Guo, Mingrui Liu, Tianbao Yang, Tajana Rosing

* 16 pages 

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Depthwise Convolution is All You Need for Learning Multiple Visual Domains


Feb 19, 2019
Yunhui Guo, Yandong Li, Rogerio Feris, Liqiang Wang, Tajana Rosing


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SpotTune: Transfer Learning through Adaptive Fine-tuning


Nov 21, 2018
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogerio Feris


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RAPIDNN: In-Memory Deep Neural Network Acceleration Framework


Aug 09, 2018
Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing


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