Publications | Research

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Artificial Intelligence and Machine Learning

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2018

IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification

Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas Breuel, Jan Kautz

Synchronous Multi-GPU Deep Learning with Low-Precision Communication: An Experimental Study

Demjan Grubic, Leo Tam, Dan Alistarh, Ce Zhang

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Steve Keckler

Stitch-X: An Accelerator Architecture for Exploiting Unstructured Sparsity in Deep Neural Networks

Ching-En Lee, Yakun Sophia Shao, Jie-Fang Zhang, Angshuman Parashar, Joel Emer, Steve Keckler, Zhengya Zhang

Learning Binary Residual Representations for Domain-specific Video Streaming

Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz

Learning Adaptive Parameter Tuning for Image Processing

Jingming Dong, Iuri Frosio, Jan Kautz