| Channel Gating Neural Networks | Weizhe Hua · Yuan Zhou · Christopher De Sa · Zhiru Zhang · G. Edward Suh |
| Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask | Hattie Zhou · Janice Lan · Rosanne Liu · Jason Yosinski |
| Point-Voxel CNN for Efficient 3D Deep Learning | Zhijian Liu · Haotian Tang · Yujun Lin · Song Han |
| Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks | Zhonghui You · Kun Yan · Jinmian Ye · Meng Ma · Ping Wang |
| Inherent Weight Normalization in Stochastic Neural Networks | Georgios Detorakis · Sourav Dutta · Abhishek Khanna · Matthew Jerry · Suman Datta · Emre Neftci |
| MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization | Shangyu Chen · Wenya Wang · Sinno Jialin Pan |
| Model Compression with Adversarial Robustness: A Unified Optimization Framework | Shupeng Gui · Haotao N Wang · Haichuan Yang · Chen Yu · Zhangyang Wang · Ji Liu |
| Positive-Unlabeled Compression on the Cloud | Yixing Xu · Yunhe Wang · Hanting Chen · Kai Han · Chunjing XU · Dacheng Tao · Chang Xu |
| Combining Generative and Discriminative Models for Hybrid Inference | Victor Garcia Satorras · Max Welling · Zeynep Akata |
| Deep Model Transferability from Attribution Maps | Jie Song · Yixin Chen · Xinchao Wang · Chengchao Shen · Mingli Song |
| Focused Quantization for Sparse CNNs | Yiren Zhao · Xitong Gao · Daniel Bates · Robert Mullins · Cheng-Zhong Xu |
| Global Sparse Momentum SGD for Pruning Very Deep Neural Networks | Xiaohan Ding · guiguang ding · Xiangxin Zhou · Yuchen Guo · Jungong Han · Ji Liu |
| Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization | Koen Helwegen · James Widdicombe · Lukas Geiger · Zechun Liu · Kwang-Ting Cheng · Roeland Nusselder |
| Normalization Helps Training of Quantized LSTM | Lu Hou · Jinhua Zhu · James Kwok · Fei Gao · Tao Qin · Tie-Yan Liu |
| Post training 4-bit quantization of convolutional networks for rapid-deployment | Ron Banner · Yury Nahshan · Daniel Soudry |
| SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models | Linfeng Zhang · Zhanhong Tan · Jiebo Song · Jingwei Chen · Chenglong Bao · Kaisheng Ma |
| Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices | Don Dennis · Durmus Alp Emre Acar · Vikram Mandikal · Vinu Sankar Sadasivan · Venkatesh Saligrama · Harsha Vardhan Simhadri · Prateek Jain |