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Efficient Computing

6876 directly classified papers

Papers per year

Papers

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning NIPS 2020
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning NIPS 2020
Pruning neural networks without any data by iteratively conserving synaptic flow NIPS 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows NIPS 2020
Robust Quantization: One Model to Rule Them All NIPS 2020
ShiftAddNet: A Hardware-Inspired Deep Network NIPS 2020
FleXOR: Trainable Fractional Quantization NIPS 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks NIPS 2020
Neural Network Pruning With Residual-Connections and Limited-Data CVPR 2020
PyGlove: Symbolic Programming for Automated Machine Learning NIPS 2020
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging CVPR 2020
Learning Better Lossless Compression Using Lossy Compression CVPR 2020
Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition INTERSPEECH 2020
Faster DBSCAN via subsampled similarity queries NIPS 2020
BERT Loses Patience: Fast and Robust Inference with Early Exit NIPS 2020
Sparse Weight Activation Training NIPS 2020
Kernel Methods Through the Roof: Handling Billions of Points Efficiently NIPS 2020
Winning the Lottery with Continuous Sparsification NIPS 2020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation NIPS 2020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector EMNLP 2020
Fully Quantized Transformer for Machine Translation EMNLP 2020
Fast MSER CVPR 2020
StegaStamp: Invisible Hyperlinks in Physical Photographs CVPR 2020
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet CVPR 2020