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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Transferable Graph Optimizers for ML Compilers NIPS 2020
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning NIPS 2020
High-Throughput Synchronous Deep RL NIPS 2020
Experimental design for MRI by greedy policy search NIPS 2020
Accelerating Reinforcement Learning through GPU Atari Emulation NIPS 2020
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes NIPS 2020
Self-Supervised Generative Adversarial Compression NIPS 2020
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point NIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices NIPS 2020
Practical Low-Rank Communication Compression in Decentralized Deep Learning NIPS 2020
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis NIPS 2020
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression NIPS 2020
CAM: Uninteresting Speech Detector INTERSPEECH 2020
Can Auditory Nerve Models Tell us What’s Different About WaveNet Vocoded Speech? INTERSPEECH 2020
EfficientDet: Scalable and Efficient Object Detection CVPR 2020
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020
Learning in the Frequency Domain CVPR 2020
Towards Unified INT8 Training for Convolutional Neural Network CVPR 2020
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification CVPR 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020
Universally Quantized Neural Compression NIPS 2020
CryptoNAS: Private Inference on a ReLU Budget NIPS 2020
Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy CVPR 2020
Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020