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Efficient Computing

596 directly classified papers

Papers per year

Papers

Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation CVPR 2019
TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019
Learning to Optimize Tensor Programs NIPS 2018
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks ICML 2018
Pieces of Eight: 8-bit Neural Machine Translation NAACL 2018
Kalman Normalization: Normalizing Internal Representations Across Network Layers NIPS 2018
Path-Level Network Transformation for Efficient Architecture Search ICML 2018
Gradient Coding from Cyclic MDS Codes and Expander Graphs ICML 2018
A Low Power, High Throughput, Fully Event-Based Stereo System CVPR 2018
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017
On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017
Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017
A Fully Convolutional Neural Network for Speech Enhancement INTERSPEECH 2017
We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification CVPR 2016
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Scalable Non-linear Learning with Adaptive Polynomial Expansions NIPS 2014
Exploiting spatial overlap to efficiently compute appearance distances between image windows NIPS 2011
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NIPS 2009
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NIPS 2007
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NIPS 2007