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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Optimizing Video Object Detection via a Scale-Time Lattice CVPR 2018
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks CVPR 2018
Neural Proximal Gradient Descent for Compressive Imaging NIPS 2018
Modular Networks: Learning to Decompose Neural Computation NIPS 2018
Efficient and Robust Question Answering from Minimal Context over Documents ACL 2018
Learning towards Minimum Hyperspherical Energy NIPS 2018
The Importance of Recommender and Feedback Features in a Pronunciation Learning Aid ACL 2018
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication NIPS 2018
Defense Against Universal Adversarial Perturbations CVPR 2018
Improving Online Algorithms via ML Predictions NIPS 2018
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions CVPR 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference CVPR 2018
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration CVPR 2018
Recurrent Residual Module for Fast Inference in Videos CVPR 2018
Learning Versatile Filters for Efficient Convolutional Neural Networks NIPS 2018
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NIPS 2018
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NIPS 2018
Pelee: A Real-Time Object Detection System on Mobile Devices NIPS 2018
Constructing Fast Network through Deconstruction of Convolution NIPS 2018
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs CVPR 2018
Learning Compressed Transforms with Low Displacement Rank NIPS 2018
Learning to Optimize Tensor Programs NIPS 2018
HitNet: Hybrid Ternary Recurrent Neural Network NIPS 2018
Faster Neural Networks Straight from JPEG NIPS 2018
SING: Symbol-to-Instrument Neural Generator NIPS 2018