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Efficient Computing

1253 directly classified papers

Papers per year

Papers

Learning Better Lossless Compression Using Lossy Compression CVPR 2020
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting CVPR 2020
Real-Time Panoptic Segmentation From Dense Detections CVPR 2020
SampleNet: Differentiable Point Cloud Sampling CVPR 2020
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020
X3D: Expanding Architectures for Efficient Video Recognition CVPR 2020
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder CVPR 2020
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020
Towards Unified INT8 Training for Convolutional Neural Network CVPR 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020
Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020
ReSprop: Reuse Sparsified Backpropagation CVPR 2020
Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020
Resolution Adaptive Networks for Efficient Inference CVPR 2020
On the Acceleration of Deep Learning Model Parallelism With Staleness CVPR 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization CVPR 2020
Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020
A Multigrid Method for Efficiently Training Video Models CVPR 2020
Forward and Backward Information Retention for Accurate Binary Neural Networks CVPR 2020
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference CVPR 2020
Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task ACL 2020
The NiuTrans System for WNGT 2020 Efficiency Task ACL 2020
Adaptive Transformers for Learning Multimodal Representations ACL 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing ACL 2020