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Efficient Computing

1253 directly classified papers

Papers per year

Papers

Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention AAAI 2021
Faster Depth-Adaptive Transformers AAAI 2021
An Efficient Transformer Decoder with Compressed Sub-layers AAAI 2021
OpEvo: An Evolutionary Method for Tensor Operator Optimization AAAI 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting AAAI 2021
Any-Precision Deep Neural Networks AAAI 2021
Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021
Empowering Adaptive Early-Exit Inference with Latency Awareness AAAI 2021
Anytime Inference with Distilled Hierarchical Neural Ensembles AAAI 2021
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021
TRQ: Ternary Neural Networks With Residual Quantization AAAI 2021
A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning AAAI 2021
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization AAAI 2021
BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds AAAI 2021
Efficient Deep Image Denoising via Class Specific Convolution AAAI 2021
MVFNet: Multi-View Fusion Network for Efficient Video Recognition AAAI 2021
SA-BNN: State-Aware Binary Neural Network AAAI 2021
Bringing UMAP Closer to the Speed of Light with GPU Acceleration AAAI 2021
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks CVPR 2021
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks CVPR 2021
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization CVPR 2021
Coordinate Attention for Efficient Mobile Network Design CVPR 2021
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators CVPR 2021