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Efficient Computing

6876 directly classified papers

Papers per year

Papers

AntMan: Dynamic Scaling on GPU Clusters for Deep Learning OSDI 2020
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees OSDI 2020
PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications OSDI 2020
Achieving 100Gbps Intrusion Prevention on a Single Server OSDI 2020
Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale OSDI 2020
Caladan: Mitigating Interference at Microsecond Timescales OSDI 2020
Local Binary Pattern Networks WACV 2020
Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020
Customizing ML Predictions for Online Algorithms ICML 2020
Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection AAAI 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning AAAI 2020
Training Decision Trees as Replacement for Convolution Layers AAAI 2020
Fast and Deep Graph Neural Networks AAAI 2020
RTN: Reparameterized Ternary Network AAAI 2020
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
Ultrafast Photorealistic Style Transfer via Neural Architecture Search AAAI 2020
ScaleNet - Improve CNNs through Recursively Rescaling Objects AAAI 2020
Image Formation Model Guided Deep Image Super-Resolution AAAI 2020
Pruning from Scratch AAAI 2020
Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity WACV 2020
Soft Threshold Ternary Networks IJCAI 2020
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020