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Efficient Computing

258 directly classified papers

Papers per year

Papers

Learning Compressed Sentence Representations for On-Device Text Processing ACL 2019
Learning Image and Video Compression Through Spatial-Temporal Energy Compaction CVPR 2019
ABC: A Big CAD Model Dataset for Geometric Deep Learning CVPR 2019
Dynamic Video Segmentation Network CVPR 2018
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems NIPS 2018
Snap ML: A Hierarchical Framework for Machine Learning NIPS 2018
Pelee: A Real-Time Object Detection System on Mobile Devices NIPS 2018
Revisiting Character-Based Neural Machine Translation with Capacity and Compression EMNLP 2018
Composing Finite State Transducers on GPUs ACL 2018
R-FCN-3000 at 30fps: Decoupling Detection and Classification CVPR 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes CVPR 2018
Deformation Aware Image Compression CVPR 2018
Learning Patch Reconstructability for Accelerating Multi-View Stereo CVPR 2018
Temporal Noise Shaping with Companding INTERSPEECH 2018
Efficient Subpixel Refinement With Symbolic Linear Predictors CVPR 2018
Deep Neural Networks with Box Convolutions NIPS 2018
On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions NIPS 2017
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation CVPR 2017
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NIPS 2017
Real-Time Video Super-Resolution With Spatio-Temporal Networks and Motion Compensation CVPR 2017
OctNet: Learning Deep 3D Representations at High Resolutions CVPR 2017
SGM-Nets: Semi-Global Matching With Neural Networks CVPR 2017
Geometric Loss Functions for Camera Pose Regression With Deep Learning CVPR 2017
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors CVPR 2017