Efficient Computing

Real-Time Self-Adaptive Deep Stereo CVPR 2019 Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs IJCAI 2019 Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019 Regularizing Activation Distribution for Training Binarized Deep Networks CVPR 2019 Relaxed Quantization for Discretized Neural Networks ICLR 2019 Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling NeurIPS 2019 Rethinking Complex Neural Network Architectures for Document Classification NAACL 2019 Rethinking the Value of Network Pruning ICLR 2019 Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension ACL 2019 RLTM: An Efficient Neural IR Framework for Long Documents IJCAI 2019 Robust Text Classifier on Test-Time Budgets EMNLP 2019 Same, Same But Different: Recovering Neural Network Quantization Error Through Weight Factorization ICML 2019 Sample-Optimal Low-Rank Approximation of Distance Matrices COLT 2019 Satellite Detection of Moving Vessels in Marine Environments AAAI 2019 SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart AAAI 2019 Scalable Distributed DL Training: Batching Communication and Computation AAAI 2019 Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title ACL 2019 Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction JMLR 2019 SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models NeurIPS 2019 SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks AAAI 2019 SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition ICCV 2019 Searching for MobileNetV3 ICCV 2019 SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization CVPR 2019 Self-Guided Network for Fast Image Denoising ICCV 2019 SENSE: A Shared Encoder Network for Scene-Flow Estimation ICCV 2019