Efficient Computing

Dynamic Sparse Graph for Efficient Deep Learning ICLR 2019 Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting AAAI 2019 E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings NeurIPS 2019 EASSE: Easier Automatic Sentence Simplification Evaluation EMNLP 2019 ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model CVPR 2019 Efficiency through Auto-Sizing: Notre Dame NLP’s Submission to the WNGT 2019 Efficiency Task EMNLP 2019 Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network ICCV 2019 Efficient and Effective Incomplete Multi-View Clustering AAAI 2019 Efficient Featurized Image Pyramid Network for Single Shot Detector CVPR 2019 Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019 Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks ACL 2019 Efficient Linear Bandits through Matrix Sketching AISTATS 2019 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks ICML 2019 Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection NeurIPS 2019 Efficient Neural Network Compression CVPR 2019 Efficient On-Device Models using Neural Projections ICML 2019 Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations AAAI 2019 Efficient Rematerialization for Deep Networks NeurIPS 2019 Efficient Segmentation: Learning Downsampling Near Semantic Boundaries ICCV 2019 Efficient Video Classification Using Fewer Frames CVPR 2019 EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis ICML 2019 Enabling Real-time Neural IME with Incremental Vocabulary Selection NAACL 2019 End-to-end I/O Monitoring on a Leading Supercomputer NSDI 2019 End-To-End Supervised Product Quantization for Image Search and Retrieval CVPR 2019 Energy and Policy Considerations for Deep Learning in NLP ACL 2019