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2867c9038f
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.
348 lines
20 KiB
BibTeX
348 lines
20 KiB
BibTeX
@inproceedings{adolf2016fathom,
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author = {Adolf, Robert and Rama, Saketh and Reagen, Brandon and Wei, Gu-yeon and Brooks, David},
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booktitle = {2016 IEEE International Symposium on Workload Characterization (IISWC)},
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doi = {10.1109/iiswc.2016.7581275},
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organization = {IEEE},
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pages = {1--10},
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publisher = {IEEE},
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source = {Crossref},
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title = {Fathom: {Reference} workloads for modern deep learning methods},
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url = {https://doi.org/10.1109/iiswc.2016.7581275},
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year = {2016}
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}
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@inproceedings{antol2015vqa,
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author = {Stanislaw Antol and Aishwarya Agrawal and Jiasen Lu and Margaret Mitchell and Dhruv Batra and C. Lawrence Zitnick and Devi Parikh},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/iccv/AntolALMBZP15.bib},
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booktitle = {2015 {IEEE} International Conference on Computer Vision, {ICCV} 2015, Santiago, Chile, December 7-13, 2015},
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doi = {10.1109/ICCV.2015.279},
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pages = {2425--2433},
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publisher = {{IEEE} Computer Society},
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timestamp = {Wed, 24 May 2017 01:00:00 +0200},
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title = {{VQA:} Visual Question Answering},
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url = {https://doi.org/10.1109/ICCV.2015.279},
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year = {2015}
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}
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@article{banbury2020benchmarking,
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author = {Banbury, Colby R and Reddi, Vijay Janapa and Lam, Max and Fu, William and Fazel, Amin and Holleman, Jeremy and Huang, Xinyuan and Hurtado, Robert and Kanter, David and Lokhmotov, Anton and others},
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journal = {ArXiv preprint},
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title = {Benchmarking tinyml systems: {Challenges} and direction},
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url = {https://arxiv.org/abs/2003.04821},
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volume = {abs/2003.04821},
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year = {2020}
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}
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@article{beyer2020we,
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author = {Beyer, Lucas and H\'enaff, Olivier J and Kolesnikov, Alexander and Zhai, Xiaohua and Oord, A\"aron van den},
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journal = {ArXiv preprint},
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title = {Are we done with imagenet?},
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url = {https://arxiv.org/abs/2006.07159},
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volume = {abs/2006.07159},
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year = {2020}
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}
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@inproceedings{brown2020language,
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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},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/nips/BrownMRSKDNSSAA20.bib},
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booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
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editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria{-}Florina Balcan and Hsuan{-}Tien Lin},
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timestamp = {Tue, 19 Jan 2021 00:00:00 +0100},
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title = {Language Models are Few-Shot Learners},
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url = {https://proceedings.neurips.cc/paper/2020/hash/1457c0d6bfcb4967418bfb8ac142f64a-Abstract.html},
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year = {2020}
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}
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@inproceedings{chu2021discovering,
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author = {Grace Chu and Okan Arikan and Gabriel Bender and Weijun Wang and Achille Brighton and Pieter{-}Jan Kindermans and Hanxiao Liu and Berkin Akin and Suyog Gupta and Andrew Howard},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/cvpr/ChuABWBKLAG021.bib},
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booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition Workshops, {CVPR} Workshops 2021, virtual, June 19-25, 2021},
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doi = {10.1109/CVPRW53098.2021.00337},
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pages = {3022--3031},
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publisher = {Computer Vision Foundation / {IEEE}},
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timestamp = {Mon, 18 Jul 2022 01:00:00 +0200},
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title = {Discovering Multi-Hardware Mobile Models via Architecture Search},
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url = {https://openaccess.thecvf.com/content/CVPR2021W/ECV/html/Chu\_Discovering\_Multi-Hardware\_Mobile\_Models\_via\_Architecture\_Search\_CVPRW\_2021\_paper.html},
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year = {2021}
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}
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@article{coleman2017dawnbench,
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author = {Coleman, Cody and Kang, Daniel and Narayanan, Deepak and Nardi, Luigi and Zhao, Tian and Zhang, Jian and Bailis, Peter and Olukotun, Kunle and R\'e, Chris and Zaharia, Matei},
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doi = {10.1145/3352020.3352024},
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issn = {0163-5980},
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journal = {ACM SIGOPS Operating Systems Review},
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number = {1},
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pages = {14--25},
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publisher = {Association for Computing Machinery (ACM)},
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source = {Crossref},
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title = {Analysis of {DAWNBench,} a Time-to-Accuracy Machine Learning Performance Benchmark},
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url = {https://doi.org/10.1145/3352020.3352024},
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volume = {53},
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year = {2019}
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}
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@inproceedings{coleman2022similarity,
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author = {Cody Coleman and Edward Chou and Julian Katz{-}Samuels and Sean Culatana and Peter Bailis and Alexander C. Berg and Robert D. Nowak and Roshan Sumbaly and Matei Zaharia and I. Zeki Yalniz},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/aaai/ColemanCKCBBNSZ22.bib},
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booktitle = {Thirty-Sixth {AAAI} Conference on Artificial Intelligence, {AAAI} 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, {IAAI} 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, {EAAI} 2022 Virtual Event, February 22 - March 1, 2022},
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pages = {6402--6410},
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publisher = {{AAAI} Press},
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timestamp = {Mon, 11 Jul 2022 01:00:00 +0200},
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title = {Similarity Search for Efficient Active Learning and Search of Rare Concepts},
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url = {https://ojs.aaai.org/index.php/AAAI/article/view/20591},
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year = {2022}
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}
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@article{david2021tensorflow,
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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},
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journal = {Proceedings of Machine Learning and Systems},
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pages = {800--811},
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title = {Tensorflow lite micro: {Embedded} machine learning for tinyml systems},
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volume = {3},
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year = {2021}
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}
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@article{davies2018loihi,
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author = {Davies, Mike and Srinivasa, Narayan and Lin, Tsung-Han and Chinya, Gautham and Cao, Yongqiang and Choday, Sri Harsha and Dimou, Georgios and Joshi, Prasad and Imam, Nabil and Jain, Shweta and Liao, Yuyun and Lin, Chit-Kwan and Lines, Andrew and Liu, Ruokun and Mathaikutty, Deepak and McCoy, Steven and Paul, Arnab and Tse, Jonathan and Venkataramanan, Guruguhanathan and Weng, Yi-Hsin and Wild, Andreas and Yang, Yoonseok and Wang, Hong},
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doi = {10.1109/mm.2018.112130359},
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issn = {0272-1732, 1937-4143},
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journal = {IEEE Micro},
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number = {1},
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pages = {82--99},
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publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
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source = {Crossref},
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title = {Loihi: {A} Neuromorphic Manycore Processor with On-Chip Learning},
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url = {https://doi.org/10.1109/mm.2018.112130359},
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volume = {38},
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year = {2018}
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}
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@inproceedings{devlin2018bert,
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address = {Minneapolis, Minnesota},
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author = {Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
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booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
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doi = {10.18653/v1/N19-1423},
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pages = {4171--4186},
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publisher = {Association for Computational Linguistics},
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title = {{BERT}: Pre-training of Deep Bidirectional Transformers for Language Understanding},
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url = {https://aclanthology.org/N19-1423},
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year = {2019}
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}
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@article{gaviria2022dollar,
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author = {Mattson, Peter and Reddi, Vijay Janapa and Cheng, Christine and Coleman, Cody and Diamos, Greg and Kanter, David and Micikevicius, Paulius and Patterson, David and Schmuelling, Guenther and Tang, Hanlin and Wei, Gu-Yeon and Wu, Carole-Jean},
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doi = {10.1109/mm.2020.2974843},
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issn = {0272-1732, 1937-4143},
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journal = {IEEE Micro},
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number = {2},
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pages = {8--16},
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publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
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source = {Crossref},
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title = {{MLPerf:} {An} Industry Standard Benchmark Suite for Machine Learning Performance},
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url = {https://doi.org/10.1109/mm.2020.2974843},
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volume = {40},
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year = {2020}
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}
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@inproceedings{hendrycks2021natural,
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author = {Dan Hendrycks and Kevin Zhao and Steven Basart and Jacob Steinhardt and Dawn Song},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/cvpr/HendrycksZBSS21.bib},
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booktitle = {{IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2021, virtual, June 19-25, 2021},
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doi = {10.1109/CVPR46437.2021.01501},
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pages = {15262--15271},
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publisher = {Computer Vision Foundation / {IEEE}},
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timestamp = {Mon, 18 Jul 2022 01:00:00 +0200},
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title = {Natural Adversarial Examples},
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url = {https://openaccess.thecvf.com/content/CVPR2021/html/Hendrycks\_Natural\_Adversarial\_Examples\_CVPR\_2021\_paper.html},
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year = {2021}
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}
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@inproceedings{ignatov2018ai,
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author = {Ignatov, Andrey and Timofte, Radu and Kulik, Andrei and Yang, Seungsoo and Wang, Ke and Baum, Felix and Wu, Max and Xu, Lirong and Van Gool, Luc},
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booktitle = {2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)},
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doi = {10.1109/iccvw.2019.00447},
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pages = {0--0},
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publisher = {IEEE},
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source = {Crossref},
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title = {{AI} Benchmark: {All} About Deep Learning on Smartphones in 2019},
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url = {https://doi.org/10.1109/iccvw.2019.00447},
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year = {2019}
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}
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@inproceedings{kiela2021dynabench,
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address = {Online},
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author = {Kiela, Douwe and Bartolo, Max and Nie, Yixin and Kaushik, Divyansh and Geiger, Atticus and Wu, Zhengxuan and Vidgen, Bertie and Prasad, Grusha and Singh, Amanpreet and Ringshia, Pratik and Ma, Zhiyi and Thrush, Tristan and Riedel, Sebastian and Waseem, Zeerak and Stenetorp, Pontus and Jia, Robin and Bansal, Mohit and Potts, Christopher and Williams, Adina},
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booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
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doi = {10.18653/v1/2021.naacl-main.324},
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pages = {4110--4124},
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publisher = {Association for Computational Linguistics},
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title = {Dynabench: Rethinking Benchmarking in {NLP}},
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url = {https://aclanthology.org/2021.naacl-main.324},
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year = {2021}
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}
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@inproceedings{koh2021wilds,
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author = {Pang Wei Koh and Shiori Sagawa and Henrik Marklund and Sang Michael Xie and Marvin Zhang and Akshay Balsubramani and Weihua Hu and Michihiro Yasunaga and Richard Lanas Phillips and Irena Gao and Tony Lee and Etienne David and Ian Stavness and Wei Guo and Berton Earnshaw and Imran S. Haque and Sara M. Beery and Jure Leskovec and Anshul Kundaje and Emma Pierson and Sergey Levine and Chelsea Finn and Percy Liang},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/icml/KohSMXZBHYPGLDS21.bib},
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booktitle = {Proceedings of the 38th International Conference on Machine Learning, {ICML} 2021, 18-24 July 2021, Virtual Event},
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editor = {Marina Meila and Tong Zhang},
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pages = {5637--5664},
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publisher = {{PMLR}},
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series = {Proceedings of Machine Learning Research},
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timestamp = {Tue, 13 Dec 2022 00:00:00 +0100},
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title = {{WILDS:} {A} Benchmark of in-the-Wild Distribution Shifts},
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url = {http://proceedings.mlr.press/v139/koh21a.html},
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volume = {139},
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year = {2021}
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}
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@inproceedings{lin2014microsoft,
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author = {Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll\'ar, Piotr and Zitnick, C Lawrence},
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booktitle = {Computer Vision{\textendash}ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13},
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organization = {Springer},
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pages = {740--755},
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title = {Microsoft coco: {Common} objects in context},
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year = {2014}
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}
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@inproceedings{lundberg2017unified,
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author = {Scott M. Lundberg and Su{-}In Lee},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/nips/LundbergL17.bib},
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booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, {USA}},
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editor = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
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pages = {4765--4774},
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timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
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title = {A Unified Approach to Interpreting Model Predictions},
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url = {https://proceedings.neurips.cc/paper/2017/hash/8a20a8621978632d76c43dfd28b67767-Abstract.html},
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year = {2017}
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}
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@article{maass1997networks,
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author = {Maass, Wolfgang},
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doi = {10.1016/s0893-6080(97)00011-7},
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issn = {0893-6080},
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journal = {Neural Networks},
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number = {9},
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pages = {1659--1671},
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publisher = {Elsevier BV},
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source = {Crossref},
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title = {Networks of spiking neurons: {The} third generation of neural network models},
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url = {https://doi.org/10.1016/s0893-6080(97)00011-7},
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volume = {10},
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year = {1997}
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}
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@article{mattson2020mlperf,
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author = {Mattson, Peter and Reddi, Vijay Janapa and Cheng, Christine and Coleman, Cody and Diamos, Greg and Kanter, David and Micikevicius, Paulius and Patterson, David and Schmuelling, Guenther and Tang, Hanlin and Wei, Gu-Yeon and Wu, Carole-Jean},
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doi = {10.1109/mm.2020.2974843},
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issn = {0272-1732, 1937-4143},
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journal = {IEEE Micro},
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number = {2},
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pages = {8--16},
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publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
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source = {Crossref},
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title = {{MLPerf:} {An} Industry Standard Benchmark Suite for Machine Learning Performance},
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url = {https://doi.org/10.1109/mm.2020.2974843},
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volume = {40},
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year = {2020}
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}
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@article{modha2023neural,
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author = {Modha, Dharmendra S. and Akopyan, Filipp and Andreopoulos, Alexander and Appuswamy, Rathinakumar and Arthur, John V. and Cassidy, Andrew S. and Datta, Pallab and DeBole, Michael V. and Esser, Steven K. and Otero, Carlos Ortega and Sawada, Jun and Taba, Brian and Amir, Arnon and Bablani, Deepika and Carlson, Peter J. and Flickner, Myron D. and Gandhasri, Rajamohan and Garreau, Guillaume J. and Ito, Megumi and Klamo, Jennifer L. and Kusnitz, Jeffrey A. and McClatchey, Nathaniel J. and McKinstry, Jeffrey L. and Nakamura, Yutaka and Nayak, Tapan K. and Risk, William P. and Schleupen, Kai and Shaw, Ben and Sivagnaname, Jay and Smith, Daniel F. and Terrizzano, Ignacio and Ueda, Takanori},
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doi = {10.1126/science.adh1174},
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issn = {0036-8075, 1095-9203},
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journal = {Science},
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number = {6668},
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pages = {329--335},
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publisher = {American Association for the Advancement of Science (AAAS)},
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source = {Crossref},
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title = {Neural inference at the frontier of energy, space, and time},
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url = {https://doi.org/10.1126/science.adh1174},
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volume = {382},
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year = {2023}
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}
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@inproceedings{reddi2020mlperf,
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author = {Reddi, Vijay Janapa and Cheng, Christine and Kanter, David and Mattson, Peter and Schmuelling, Guenther and Wu, Carole-Jean and Anderson, Brian and Breughe, Maximilien and Charlebois, Mark and Chou, William and Chukka, Ramesh and Coleman, Cody and Davis, Sam and Deng, Pan and Diamos, Greg and Duke, Jared and Fick, Dave and Gardner, J. Scott and Hubara, Itay and Idgunji, Sachin and Jablin, Thomas B. and Jiao, Jeff and John, Tom St. and Kanwar, Pankaj and Lee, David and Liao, Jeffery and Lokhmotov, Anton and Massa, Francisco and Meng, Peng and Micikevicius, Paulius and Osborne, Colin and Pekhimenko, Gennady and Rajan, Arun Tejusve Raghunath and Sequeira, Dilip and Sirasao, Ashish and Sun, Fei and Tang, Hanlin and Thomson, Michael and Wei, Frank and Wu, Ephrem and Xu, Lingjie and Yamada, Koichi and Yu, Bing and Yuan, George and Zhong, Aaron and Zhang, Peizhao and Zhou, Yuchen},
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booktitle = {2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA)},
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doi = {10.1109/isca45697.2020.00045},
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organization = {IEEE},
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pages = {446--459},
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publisher = {IEEE},
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source = {Crossref},
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title = {{MLPerf} Inference Benchmark},
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url = {https://doi.org/10.1109/isca45697.2020.00045},
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year = {2020}
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}
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@inproceedings{ribeiro2016should,
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author = {Ribeiro, Marco Tulio and Singh, Sameer and Guestrin, Carlos},
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booktitle = {Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining},
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pages = {1135--1144},
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title = {{\textquotedblright} Why should i trust you?{\textquotedblright} Explaining the predictions of any classifier},
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year = {2016}
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}
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@article{schuman2022opportunities,
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author = {Schuman, Catherine D. and Kulkarni, Shruti R. and Parsa, Maryam and Mitchell, J. Parker and Date, Prasanna and Kay, Bill},
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doi = {10.1038/s43588-021-00184-y},
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issn = {2662-8457},
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journal = {Nature Computational Science},
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number = {1},
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pages = {10--19},
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publisher = {Springer Science and Business Media LLC},
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source = {Crossref},
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title = {Opportunities for neuromorphic computing algorithms and applications},
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url = {https://doi.org/10.1038/s43588-021-00184-y},
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volume = {2},
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year = {2022}
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}
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@article{warden2018speech,
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author = {Warden, Pete},
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journal = {ArXiv preprint},
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title = {Speech commands: {A} dataset for limited-vocabulary speech recognition},
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url = {https://arxiv.org/abs/1804.03209},
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volume = {abs/1804.03209},
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year = {2018}
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}
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@inproceedings{xie2020adversarial,
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author = {Cihang Xie and Mingxing Tan and Boqing Gong and Jiang Wang and Alan L. Yuille and Quoc V. Le},
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bibsource = {dblp computer science bibliography, https://dblp.org},
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biburl = {https://dblp.org/rec/conf/cvpr/XieTGWYL20.bib},
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booktitle = {2020 {IEEE/CVF} Conference on Computer Vision and Pattern Recognition, {CVPR} 2020, Seattle, WA, USA, June 13-19, 2020},
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doi = {10.1109/CVPR42600.2020.00090},
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pages = {816--825},
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publisher = {{IEEE}},
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timestamp = {Tue, 13 Oct 2020 01:00:00 +0200},
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title = {Adversarial Examples Improve Image Recognition},
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url = {https://doi.org/10.1109/CVPR42600.2020.00090},
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year = {2020}
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}
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@article{xu2023demystifying,
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author = {Xu, Hu and Xie, Saining and Tan, Xiaoqing Ellen and Huang, Po-Yao and Howes, Russell and Sharma, Vasu and Li, Shang-Wen and Ghosh, Gargi and Zettlemoyer, Luke and Feichtenhofer, Christoph},
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journal = {ArXiv preprint},
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title = {Demystifying {CLIP} Data},
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url = {https://arxiv.org/abs/2309.16671},
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volume = {abs/2309.16671},
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year = {2023}
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}
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@misc{yik2023neurobench,
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archiveprefix = {arXiv},
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author = {Yik, Jason and Ahmed, Soikat Hasan and Ahmed, Zergham and Anderson, Brian and Andreou, Andreas G. and Bartolozzi, Chiara and Basu, Arindam and den Blanken, Douwe and Bogdan, Petrut and Bohte, Sander and Bouhadjar, Younes and Buckley, Sonia and Cauwenberghs, Gert and Corradi, Federico and de Croon, Guido and Danielescu, Andreea and Daram, Anurag and Davies, Mike and Demirag, Yigit and Eshraghian, Jason and Forest, Jeremy and Furber, Steve and Furlong, Michael and Gilra, Aditya and Indiveri, Giacomo and Joshi, Siddharth and Karia, Vedant and Khacef, Lyes and Knight, James C. and Kriener, Laura and Kubendran, Rajkumar and Kudithipudi, Dhireesha and Lenz, Gregor and Manohar, Rajit and Mayr, Christian and Michmizos, Konstantinos and Muir, Dylan and Neftci, Emre and Nowotny, Thomas and Ottati, Fabrizio and Ozcelikkale, Ayca and Pacik-Nelson, Noah and Panda, Priyadarshini and Pao-Sheng, Sun and Payvand, Melika and Pehle, Christian and Petrovici, Mihai A. and Posch, Christoph and Renner, Alpha and Sandamirskaya, Yulia and Schaefer, Clemens JS and van Schaik, Andr\'e and Schemmel, Johannes and Schuman, Catherine and Seo, Jae-sun and Sheik, Sadique and Shrestha, Sumit Bam and Sifalakis, Manolis and Sironi, Amos and Stewart, Kenneth and Stewart, Terrence C. and Stratmann, Philipp and Tang, Guangzhi and Timcheck, Jonathan and Verhelst, Marian and Vineyard, Craig M. and Vogginger, Bernhard and Yousefzadeh, Amirreza and Zhou, Biyan and Zohora, Fatima Tuz and Frenkel, Charlotte and Reddi, Vijay Janapa},
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eprint = {2304.04640},
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primaryclass = {cs.AI},
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title = {{NeuroBench:} {Advancing} Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking},
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year = {2023}
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}
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