Xiaofan Zhang, Hao Cong, Yuhong Li, Yao Chen, Jinjun Xiong, Wen-Mei Hwu and Deming Chen. A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices https://arxiv.org/abs/1905.08369

Kushal Datta, Aishwarya Bhandare, Deepthi Karkada, Vamsi Sripathi, Sun Choi, Vikram Saletore and Vivek Menon. Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model

Bin Yang, Lin Yang, Xiaochun Li, Wenhan Zhang, Hua Zhou, Yequn Zhang, Yongxiong Ren and Yinbo Shi. 2-bit Model Compression of Deep Convolutional Neural Network on ASIC Engine for image retrieval https://arxiv.org/abs/1905.03362

Zhong Qiu Lin, Brendan Chwyl and Alexander Wong. EdgeSegNet: A Compact Network for Semantic Segmentation https://arxiv.org/abs/1905.04222

Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma and Yanzhi Wang. Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM https://arxiv.org/abs/1905.00789

Chengcheng Li, Zi Wang, Dali Wang, Xiangyang Wang and Hairong Qi. Investigating Channel Pruning through Structural Redundancy Reduction - A Statistical Study https://arxiv.org/abs/1905.06498

Wei Niu, Yanzhi Wang and Bin Ren. CADNN: Ultra Fast Execution of DNNs on Mobile Devices with Advanced Model Compression and Architecture-Aware Optimization https://arxiv.org/abs/1905.00571

Jonathan Ephrath, Lars Ruthotto, Eldad Haber and Eran Treister. LeanResNet: A Low-cost yet Effective Convolutional Residual Networks https://arxiv.org/abs/1904.06952

Dushyant Mehta, Kwang In Kim and Christian Theobalt. Implicit Filter Sparsification In Convolutional Neural Networks https://arxiv.org/abs/1905.04967