← Application Areas
Machine Learning › Application Areas ›

Efficient Computing

6876 directly classified papers

Papers per year

Papers

ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs AAAI 2019
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration NIPS 2019
Post training 4-bit quantization of convolutional networks for rapid-deployment NIPS 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks NIPS 2019
Positive-Unlabeled Compression on the Cloud NIPS 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NIPS 2019
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NIPS 2019
DATA: Differentiable ArchiTecture Approximation NIPS 2019
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings NIPS 2019
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks NIPS 2019
Focused Quantization for Sparse CNNs NIPS 2019
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection NIPS 2019
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images CVPR 2019
Efficient Neural Network Compression CVPR 2019
NAT: Neural Architecture Transformer for Accurate and Compact Architectures NIPS 2019
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation CVPR 2019
Regularizing Activation Distribution for Training Binarized Deep Networks CVPR 2019
Efficient Featurized Image Pyramid Network for Single Shot Detector CVPR 2019
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation CVPR 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework NIPS 2019
Scalable Distributed DL Training: Batching Communication and Computation AAAI 2019
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing AAAI 2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks CVPR 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NIPS 2019
Oblivious Sampling Algorithms for Private Data Analysis NIPS 2019