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cs249r_book/contents/frameworks/frameworks.bib
Vijay Janapa Reddi 2867c9038f Update all bibtex references automatically
Improved citation key for bibtex: Added a script to automatically generate and update citation keys in QMD files. This resolves formatting issues caused by characters like underscores in the original citation keys.
2024-01-21 18:31:11 -05:00

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@inproceedings{abadi2016tensorflow,
author = {Yu, Yuan and Abadi, Mart{\'\i}n and Barham, Paul and Brevdo, Eugene and Burrows, Mike and Davis, Andy and Dean, Jeff and Ghemawat, Sanjay and Harley, Tim and Hawkins, Peter and Isard, Michael and Kudlur, Manjunath and Monga, Rajat and Murray, Derek and Zheng, Xiaoqiang},
booktitle = {Proceedings of the Thirteenth EuroSys Conference},
doi = {10.1145/3190508.3190551},
pages = {265--283},
publisher = {ACM},
source = {Crossref},
title = {Dynamic control flow in large-scale machine learning},
url = {https://doi.org/10.1145/3190508.3190551},
year = {2018}
}
@misc{al2016theano,
archiveprefix = {arXiv},
author = {Team, The Theano Development and Al-Rfou, Rami and Alain, Guillaume and Almahairi, Amjad and Angermueller, Christof and Bahdanau, Dzmitry and Ballas, Nicolas and Bastien, Fr\'ed\'eric and Bayer, Justin and Belikov, Anatoly and Belopolsky, Alexander and Bengio, Yoshua and Bergeron, Arnaud and Bergstra, James and Bisson, Valentin and Snyder, Josh Bleecher and Bouchard, Nicolas and Boulanger-Lewandowski, Nicolas and Bouthillier, Xavier and de Br\'ebisson, Alexandre and Breuleux, Olivier and Carrier, Pierre-Luc and Cho, Kyunghyun and Chorowski, Jan and Christiano, Paul and Cooijmans, Tim and C\^ot\'e, Marc-Alexandre and C\^ot\'e, Myriam and Courville, Aaron and Dauphin, Yann N. and Delalleau, Olivier and Demouth, Julien and Desjardins, Guillaume and Dieleman, Sander and Dinh, Laurent and Ducoffe, M\'elanie and Dumoulin, Vincent and Kahou, Samira Ebrahimi and Erhan, Dumitru and Fan, Ziye and Firat, Orhan and Germain, Mathieu and Glorot, Xavier and Goodfellow, Ian and Graham, Matt and Gulcehre, Caglar and Hamel, Philippe and Harlouchet, Iban and Heng, Jean-Philippe and Hidasi, Bal\'azs and Honari, Sina and Jain, Arjun and Jean, S\'ebastien and Jia, Kai and Korobov, Mikhail and Kulkarni, Vivek and Lamb, Alex and Lamblin, Pascal and Larsen, Eric and Laurent, C\'esar and Lee, Sean and Lefrancois, Simon and Lemieux, Simon and L\'eonard, Nicholas and Lin, Zhouhan and Livezey, Jesse A. and Lorenz, Cory and Lowin, Jeremiah and Ma, Qianli and Manzagol, Pierre-Antoine and Mastropietro, Olivier and McGibbon, Robert T. and Memisevic, Roland and van Merri\"enboer, Bart and Michalski, Vincent and Mirza, Mehdi and Orlandi, Alberto and Pal, Christopher and Pascanu, Razvan and Pezeshki, Mohammad and Raffel, Colin and Renshaw, Daniel and Rocklin, Matthew and Romero, Adriana and Roth, Markus and Sadowski, Peter and Salvatier, John and Savard, Fran\c{c}ois and Schl\"uter, Jan and Schulman, John and Schwartz, Gabriel and Serban, Iulian Vlad and Serdyuk, Dmitriy and Shabanian, Samira and Simon, \'Etienne and Spieckermann, Sigurd and Subramanyam, S. Ramana and Sygnowski, Jakub and Tanguay, J\'er\'emie and van Tulder, Gijs and Turian, Joseph and Urban, Sebastian and Vincent, Pascal and Visin, Francesco and de Vries, Harm and Warde-Farley, David and Webb, Dustin J. and Willson, Matthew and Xu, Kelvin and Xue, Lijun and Yao, Li and Zhang, Saizheng and Zhang, Ying},
eprint = {1605.02688},
primaryclass = {cs.SC},
title = {Theano: {A} Python framework for fast computation of mathematical expressions},
year = {2016}
}
@inproceedings{brown2020language,
author = {Tom B. Brown and Benjamin Mann and Nick Ryder and Melanie Subbiah and Jared Kaplan and Prafulla Dhariwal and Arvind Neelakantan and Pranav Shyam and Girish Sastry and Amanda Askell and Sandhini Agarwal and Ariel Herbert{-}Voss and Gretchen Krueger and Tom Henighan and Rewon Child and Aditya Ramesh and Daniel M. Ziegler and Jeffrey Wu and Clemens Winter and Christopher Hesse and Mark Chen and Eric Sigler and Mateusz Litwin and Scott Gray and Benjamin Chess and Jack Clark and Christopher Berner and Sam McCandlish and Alec Radford and Ilya Sutskever and Dario Amodei},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/nips/BrownMRSKDNSSAA20.bib},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria{-}Florina Balcan and Hsuan{-}Tien Lin},
timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
title = {Language Models are Few-Shot Learners},
url = {https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html},
year = {2020}
}
@article{chollet2018keras,
author = {Chollet, Fran\c{c}ois},
journal = {March 9th},
title = {Introduction to keras},
year = {2018}
}
@article{david2021tensorflow,
author = {David, Robert and Duke, Jared and Jain, Advait and Janapa Reddi, Vijay and Jeffries, Nat and Li, Jian and Kreeger, Nick and Nappier, Ian and Natraj, Meghna and Wang, Tiezhen and others},
journal = {Proceedings of Machine Learning and Systems},
pages = {800--811},
title = {Tensorflow lite micro: {Embedded} machine learning for tinyml systems},
volume = {3},
year = {2021}
}
@inproceedings{dean2012large,
author = {Jeffrey Dean and Greg Corrado and Rajat Monga and Kai Chen and Matthieu Devin and Quoc V. Le and Mark Z. Mao and Marc'Aurelio Ranzato and Andrew W. Senior and Paul A. Tucker and Ke Yang and Andrew Y. Ng},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/nips/DeanCMCDLMRSTYN12.bib},
booktitle = {Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States},
editor = {Peter L. Bartlett and Fernando C. N. Pereira and Christopher J. C. Burges and L{\'{e}}on Bottou and Kilian Q. Weinberger},
pages = {1232--1240},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
title = {Large Scale Distributed Deep Networks},
url = {https://proceedings.neurips.cc/paper/2012/hash/6aca97005c68f1206823815f66102863-Abstract.html},
year = {2012}
}
@inproceedings{deng2009imagenet,
author = {Jia Deng and Wei Dong and Richard Socher and Li{-}Jia Li and Kai Li and Fei{-}Fei Li},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/cvpr/DengDSLL009.bib},
booktitle = {2009 {IEEE} Computer Society Conference on Computer Vision and Pattern Recognition {(CVPR} 2009), 20-25 June 2009, Miami, Florida, {USA}},
doi = {10.1109/CVPR.2009.5206848},
pages = {248--255},
publisher = {{IEEE} Computer Society},
timestamp = {Fri, 27 Mar 2020 00:00:00 +0100},
title = {ImageNet: {A} large-scale hierarchical image database},
url = {https://doi.org/10.1109/CVPR.2009.5206848},
year = {2009}
}
@inproceedings{he2016deep,
author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/cvpr/HeZRS16.bib},
booktitle = {2016 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2016, Las Vegas, NV, USA, June 27-30, 2016},
doi = {10.1109/CVPR.2016.90},
pages = {770--778},
publisher = {{IEEE} Computer Society},
timestamp = {Wed, 17 Apr 2019 01:00:00 +0200},
title = {Deep Residual Learning for Image Recognition},
url = {https://doi.org/10.1109/CVPR.2016.90},
year = {2016}
}
@inproceedings{jia2014caffe,
author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
booktitle = {Proceedings of the 22nd ACM international conference on Multimedia},
doi = {10.1145/2647868.2654889},
pages = {675--678},
publisher = {ACM},
source = {Crossref},
subtitle = {Convolutional Architecture for Fast Feature Embedding},
title = {Caffe},
url = {https://doi.org/10.1145/2647868.2654889},
year = {2014}
}
@inproceedings{krizhevsky2012imagenet,
author = {Alex Krizhevsky and Ilya Sutskever and Geoffrey E. Hinton},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/nips/KrizhevskySH12.bib},
booktitle = {Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States},
editor = {Peter L. Bartlett and Fernando C. N. Pereira and Christopher J. C. Burges and L{\'{e}}on Bottou and Kilian Q. Weinberger},
pages = {1106--1114},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
title = {ImageNet Classification with Deep Convolutional Neural Networks},
url = {https://proceedings.neurips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html},
year = {2012}
}
@inproceedings{kung1979systolic,
author = {Kung, Hsiang Tsung and Leiserson, Charles E},
booktitle = {Sparse Matrix Proceedings 1978},
organization = {Society for industrial and applied mathematics Philadelphia, PA, USA},
pages = {256--282},
title = {Systolic arrays (for {VLSI)}},
volume = {1},
year = {1979}
}
@article{lai2018cmsis,
author = {Lai, Liangzhen and Suda, Naveen and Chandra, Vikas},
journal = {ArXiv preprint},
title = {Cmsis-nn: {Efficient} neural network kernels for arm cortex-m cpus},
url = {https://arxiv.org/abs/1801.06601},
volume = {abs/1801.06601},
year = {2018}
}
@inproceedings{li2014communication,
author = {Mu Li and David G. Andersen and Alexander J. Smola and Kai Yu},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/nips/LiASY14.bib},
booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada},
editor = {Zoubin Ghahramani and Max Welling and Corinna Cortes and Neil D. Lawrence and Kilian Q. Weinberger},
pages = {19--27},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
title = {Communication Efficient Distributed Machine Learning with the Parameter Server},
url = {https://proceedings.neurips.cc/paper/2014/hash/1ff1de774005f8da13f42943881c655f-Abstract.html},
year = {2014}
}
@article{li2017learning,
author = {Li, Zhizhong and Hoiem, Derek},
doi = {10.1109/tpami.2017.2773081},
issn = {0162-8828, 2160-9292, 1939-3539},
journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
number = {12},
pages = {2935--2947},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
source = {Crossref},
title = {Learning without Forgetting},
url = {https://doi.org/10.1109/tpami.2017.2773081},
volume = {40},
year = {2018}
}
@inproceedings{lin2020mcunet,
author = {Ji Lin and Wei{-}Ming Chen and Yujun Lin and John Cohn and Chuang Gan and Song Han},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/nips/LinCLCG020.bib},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria{-}Florina Balcan and Hsuan{-}Tien Lin},
timestamp = {Thu, 11 Feb 2021 00:00:00 +0100},
title = {MCUNet: Tiny Deep Learning on IoT Devices},
url = {https://proceedings.neurips.cc/paper/2020/hash/86c51678350f656dcc7f490a43946ee5-Abstract.html},
year = {2020}
}
@inproceedings{mcmahan2023communicationefficient,
author = {Brendan McMahan and Eider Moore and Daniel Ramage and Seth Hampson and Blaise Ag{\"{u}}era y Arcas},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/aistats/McMahanMRHA17.bib},
booktitle = {Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, {AISTATS} 2017, 20-22 April 2017, Fort Lauderdale, FL, {USA}},
editor = {Aarti Singh and Xiaojin (Jerry) Zhu},
pages = {1273--1282},
publisher = {{PMLR}},
series = {Proceedings of Machine Learning Research},
timestamp = {Wed, 03 Apr 2019 01:00:00 +0200},
title = {Communication-Efficient Learning of Deep Networks from Decentralized Data},
url = {http://proceedings.mlr.press/v54/mcmahan17a.html},
volume = {54},
year = {2017}
}
@inproceedings{paszke2019pytorch,
author = {Adam Paszke and Sam Gross and Francisco Massa and Adam Lerer and James Bradbury and Gregory Chanan and Trevor Killeen and Zeming Lin and Natalia Gimelshein and Luca Antiga and Alban Desmaison and Andreas K{\"{o}}pf and Edward Yang and Zachary DeVito and Martin Raison and Alykhan Tejani and Sasank Chilamkurthy and Benoit Steiner and Lu Fang and Junjie Bai and Soumith Chintala},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/nips/PaszkeGMLBCKLGA19.bib},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alch{\'{e}}{-}Buc and Emily B. Fox and Roman Garnett},
pages = {8024--8035},
timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
url = {https://proceedings.neurips.cc/paper/2019/hash/bdbca288fee7f92f2bfa9f7012727740-Abstract.html},
year = {2019}
}
@inproceedings{seide2016cntk,
author = {Seide, Frank and Agarwal, Amit},
booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
doi = {10.1145/2939672.2945397},
pages = {2135--2135},
publisher = {ACM},
source = {Crossref},
subtitle = {Microsoft's Open-Source Deep-Learning Toolkit},
title = {Cntk},
url = {https://doi.org/10.1145/2939672.2945397},
year = {2016}
}
@inproceedings{tokui2015chainer,
author = {Tokui, Seiya and Okuta, Ryosuke and Akiba, Takuya and Niitani, Yusuke and Ogawa, Toru and Saito, Shunta and Suzuki, Shuji and Uenishi, Kota and Vogel, Brian and Yamazaki Vincent, Hiroyuki},
booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
doi = {10.1145/3292500.3330756},
pages = {1--6},
publisher = {ACM},
source = {Crossref},
subtitle = {A Deep Learning Framework for Accelerating the Research Cycle},
title = {Chainer},
url = {https://doi.org/10.1145/3292500.3330756},
volume = {5},
year = {2019}
}