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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NIPS 2017
Multiscale Quantization for Fast Similarity Search NIPS 2017
Recursive Sampling for the Nystrom Method NIPS 2017
LightGBM: A Highly Efficient Gradient Boosting Decision Tree NIPS 2017
Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017
Structured adaptive and random spinners for fast machine learning computations AISTATS 2017
Compressed Least Squares Regression revisited AISTATS 2017
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting ICML 2017
Scalable Learning of Non-Decomposable Objectives AISTATS 2017
Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017
Mention Recommendation for Twitter with End-to-end Memory Network IJCAI 2017
Fast Classification with Binary Prototypes AISTATS 2017
Efficient softmax approximation for GPUs ICML 2017
Optimal Densification for Fast and Accurate Minwise Hashing ICML 2017
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017
Deep Tensor Convolution on Multicores ICML 2017
Hard Mixtures of Experts for Large Scale Weakly Supervised Vision CVPR 2017
AMVH: Asymmetric Multi-Valued Hashing CVPR 2017
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things ICML 2017
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning CVPR 2017
Budget-Aware Deep Semantic Video Segmentation CVPR 2017
AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract) IJCAI 2017
Learning to Run Heuristics in Tree Search IJCAI 2017
A distributed block coordinate descent method for training l1 regularized linear classifiers JMLR 2017