python-crawler
find_paper is a script for paper searching. It will return the authors and title of paper containing certain keywords from any conferences (CS, EE related) and any years.
The arguments are keywords (e.g. adc and "neural network"), conference name (abbreviation, e.g. nips and isscc), and year (e.g. 2017).
The running environment is python 2.7.
Searching paper containing binary from NIPS 2017:
# python find_paper.py binary nips 2017
1
Xiaofan Lin, Cong Zhao, Wei Pan,
Towards Accurate Binary Convolutional Neural Network.
2
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov,
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification.
Searching paper containing neural network from ISSCC 2017:
# python find_paper.py "neural network" isscc 2017
1
Giuseppe Desoli, Nitin Chawla, Thomas Boesch, Surinder-pal Singh, Elio Guidetti, Fabio De Ambroggi, Tommaso Majo, Paolo Zambotti, Manuj Ayodhyawasi, Harvinder Singh, Nalin Aggarwal,
14.1 A 2.9TOPS/W deep convolutional neural network SoC in FD-SOI 28nm for intelligent embedded systems.
2
Dongjoo Shin, Jinmook Lee, Jinsu Lee, Hoi-Jun Yoo,
14.2 DNPU: An 8.1TOPS/W reconfigurable CNN-RNN processor for general-purpose deep neural networks.
3
Bert Moons, Roel Uytterhoeven, Wim Dehaene, Marian Verhelst,
14.5 Envision: A 0.26-to-10TOPS/W subword-parallel dynamic-voltage-accuracy-frequency-scalable Convolutional Neural Network processor in 28nm FDSOI.