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Efficient Computing

6,898 papers

Papers per year

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11
55
503
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Papers

DATA: Differentiable ArchiTecture Approximation NIPS 2019
Adversarial training for free! NIPS 2019
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NIPS 2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors NIPS 2019
Memory Efficient Adaptive Optimization NIPS 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks NIPS 2019
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models NIPS 2019
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NIPS 2019
Large Memory Layers with Product Keys NIPS 2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling NIPS 2019
Network Pruning via Transformable Architecture Search NIPS 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NIPS 2019
Space and Time Efficient Kernel Density Estimation in High Dimensions NIPS 2019
Positive-Unlabeled Compression on the Cloud NIPS 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks NIPS 2019
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition NIPS 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library NIPS 2019
NAT: Neural Architecture Transformer for Accurate and Compact Architectures NIPS 2019
Post training 4-bit quantization of convolutional networks for rapid-deployment NIPS 2019
Making AI Forget You: Data Deletion in Machine Learning NIPS 2019
Compiler Auto-Vectorization with Imitation Learning NIPS 2019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NIPS 2019
Dimension-Free Bounds for Low-Precision Training NIPS 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NIPS 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization NIPS 2019