Efficient Computing
8,226 papers
Papers per year
3
2
3
3
8
11
7
11
12
15
55
50
57
98
136
252
379
535
681
794
1,106
1,519
2,057
432
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Papers
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
AAAI 2020
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination
ICML 2020
Practical Low-Rank Communication Compression in Decentralized Deep Learning
NeurIPS 2020
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
ICLR 2020
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks
ICLR 2020
Progressive Boundary Refinement Network for Temporal Action Detection
AAAI 2020
Provable Filter Pruning for Efficient Neural Networks
ICLR 2020
Pruning from Scratch
AAAI 2020
Pruning neural networks without any data by iteratively conserving synaptic flow
NeurIPS 2020
Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior
EMNLP 2020
PSForest: Improving Deep Forest via Feature Pooling and Error Screening
ACML 2020
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point
NeurIPS 2020
PyGlove: Symbolic Programming for Automated Machine Learning
NeurIPS 2020
pyMMAX2: Deep Access to MMAX2 Projects from Python
COLING 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
AAAI 2020
Quantifying Attention Flow in Transformers
ACL 2020
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning
AAAI 2020
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware
WACV 2020
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
OSDI 2020
Randomized Block-Diagonal Preconditioning for Parallel Learning
ICML 2020
Rank and run-time aware compression of NLP Applications
EMNLP 2020
Real-Time Single-Channel Deep Neural Network-Based Speech Enhancement on Edge Devices
Interspeech 2020
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data
AAAI 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
NeurIPS 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
AAAI 2020