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Efficient Computing

6,898 papers

Papers per year

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11
55
503
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Papers

Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision CORL 2017
A Convolutional Encoder Model for Neural Machine Translation ACL 2017
Speeding Up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary ACL 2017
Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search ACML 2017
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications ACML 2017
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks ACML 2017
Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017
Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017
Scalable Learning of Non-Decomposable Objectives AISTATS 2017
Structured adaptive and random spinners for fast machine learning computations AISTATS 2017
Compressed Least Squares Regression revisited AISTATS 2017
Fast Classification with Binary Prototypes AISTATS 2017
Fast and robust tensor decomposition with applications to dictionary learning COLT 2017
Local Binary Convolutional Neural Networks CVPR 2017
Position Tracking for Virtual Reality Using Commodity WiFi CVPR 2017
AMVH: Asymmetric Multi-Valued Hashing CVPR 2017
Budget-Aware Deep Semantic Video Segmentation CVPR 2017
Spatially Adaptive Computation Time for Residual Networks CVPR 2017
Deep Roots: Improving CNN Efficiency With Hierarchical Filter Groups CVPR 2017
Superpixel-Based Tracking-By-Segmentation Using Markov Chains CVPR 2017
Deep Matching Prior Network: Toward Tighter Multi-Oriented Text Detection CVPR 2017
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017
Fast Video Classification via Adaptive Cascading of Deep Models CVPR 2017
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks CVPR 2017
Learning Deep CNN Denoiser Prior for Image Restoration CVPR 2017