Efficient Computing

End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems NeurIPS 2018 Fast End-to-End Trainable Guided Filter CVPR 2018 Faster Neural Networks Straight from JPEG NeurIPS 2018 FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network NeurIPS 2018 Fast Spectral Ranking for Similarity Search CVPR 2018 Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NeurIPS 2018 Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks NeurIPS 2018 GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NeurIPS 2018 GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NeurIPS 2018 Heterogeneous Bitwidth Binarization in Convolutional Neural Networks NeurIPS 2018 HydraNets: Specialized Dynamic Architectures for Efficient Inference CVPR 2018 Learning Compressible 360° Video Isomers CVPR 2018 Learning Patch Reconstructability for Accelerating Multi-View Stereo CVPR 2018 Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks CVPR 2018 Learning to Optimize Tensor Programs NeurIPS 2018 Link and Code: Fast Indexing With Graphs and Compact Regression Codes CVPR 2018 LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation CVPR 2018 Low-Latency Video Semantic Segmentation CVPR 2018 Marian: Cost-effective High-Quality Neural Machine Translation in C++ ACL 2018 MegDet: A Large Mini-Batch Object Detector CVPR 2018 Mesh-TensorFlow: Deep Learning for Supercomputers NeurIPS 2018 Modular Networks: Learning to Decompose Neural Computation NeurIPS 2018 Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models NeurIPS 2018 Neural Speed Reading via Skim-RNN ICLR 2018 NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018