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BibTeX records: Cody Coleman
@article{DBLP:journals/corr/abs-2404-12241, author = {Bertie Vidgen and Adarsh Agrawal and Ahmed M. Ahmed and Victor Akinwande and Namir Al{-}Nuaimi and Najla Alfaraj and Elie Alhajjar and Lora Aroyo and Trupti Bavalatti and Borhane Blili{-}Hamelin and Kurt D. Bollacker and Rishi Bomassani and Marisa Ferrara Boston and Sim{\'{e}}on Campos and Kal Chakra and Canyu Chen and Cody Coleman and Zacharie Delpierre Coudert and Leon Derczynski and Debojyoti Dutta and Ian Eisenberg and James Ezick and Heather Frase and Brian Fuller and Ram Gandikota and Agasthya Gangavarapu and Ananya Gangavarapu and James Gealy and Rajat Ghosh and James Goel and Usman Gohar and Subhra S. Goswami and Scott A. Hale and Wiebke Hutiri and Joseph Marvin Imperial and Surgan Jandial and Nick Judd and Felix Juefei{-}Xu and Foutse Khomh and Bhavya Kailkhura and Hannah Rose Kirk and Kevin Klyman and Chris Knotz and Michael Kuchnik and Shachi H. Kumar and Chris Lengerich and Bo Li and Zeyi Liao and Eileen Peters Long and Victor Lu and Yifan Mai and Priyanka Mary Mammen and Kelvin Manyeki and Sean McGregor and Virendra Mehta and Shafee Mohammed and Emanuel Moss and Lama Nachman and Dinesh Jinenhally Naganna and Amin Nikanjam and Besmira Nushi and Luis Oala and Iftach Orr and Alicia Parrish and Cigdem Patlak and William Pietri and Forough Poursabzi{-}Sangdeh and Eleonora Presani and Fabrizio Puletti and Paul R{\"{o}}ttger and Saurav Sahay and Tim Santos and Nino Scherrer and Alice Schoenauer Sebag and Patrick Schramowski and Abolfazl Shahbazi and Vin Sharma and Xudong Shen and Vamsi Sistla and Leonard Tang and Davide Testuggine and Vithursan Thangarasa and Elizabeth Anne Watkins and Rebecca Weiss and Chris Welty and Tyler Wilbers and Adina Williams and Carole{-}Jean Wu and Poonam Yadav and Xianjun Yang and Yi Zeng and Wenhui Zhang and Fedor Zhdanov and Jiacheng Zhu and Percy Liang and Peter Mattson and Joaquin Vanschoren}, title = {Introducing v0.5 of the {AI} Safety Benchmark from MLCommons}, journal = {CoRR}, volume = {abs/2404.12241}, year = {2024}, url = {https://doi.org/10.48550/arXiv.2404.12241}, doi = {10.48550/ARXIV.2404.12241}, eprinttype = {arXiv}, eprint = {2404.12241}, timestamp = {Thu, 15 Aug 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2404-12241.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/natmi/KarargyrisUSAGWPKZBMCGNRKXBCBEATS23, author = {Alexandros Karargyris and Renato Umeton and Micah J. Sheller and Alejandro Aristizabal and Johnu George and Anna Wuest and Sarthak Pati and Hasan Kassem and Maximilian Zenk and Ujjwal Baid and Prakash Narayana Moorthy and Alexander Chowdhury and Junyi Guo and Sahil S. Nalawade and Jacob Rosenthal and David Kanter and Maria Xenochristou and Daniel J. Beutel and Verena Chung and Timothy Bergquist and James A. Eddy and Abubakar Abid and Lewis Tunstall and Omar Sanseviero and Dimitrios Dimitriadis and Yiming Qian and Xinxing Xu and Yong Liu and Rick Siow Mong Goh and Srini Bala and Victor Bittorf and Sreekar Reddy Puchala and Biagio Ricciuti and Soujanya Samineni and Eshna Sengupta and Akshay Chaudhari and Cody Coleman and Bala Desinghu and Gregory F. Diamos and Debo Dutta and Diane Feddema and Grigori Fursin and Xinyuan Huang and Satyananda Kashyap and Nicholas D. Lane and Indranil Mallick and Pietro Mascagni and Virendra Mehta and Cassiano Ferro Moraes and Vivek Natarajan and Nikola Nikolov and Nicolas Padoy and Gennady Pekhimenko and Vijay Janapa Reddi and G. Anthony Reina and Pablo Ribalta and Abhishek Singh and Jayaraman J. Thiagarajan and Jacob Albrecht and Thomas Wolf and Geralyn Miller and Huazhu Fu and Prashant Shah and Daguang Xu and Poonam Yadav and David Talby and Mark M. Awad and Jeremy P. Howard and Michael Rosenthal and Luigi Marchionni and Massimo Loda and Jason M. Johnson and Spyridon Bakas and Peter Mattson}, title = {Federated benchmarking of medical artificial intelligence with MedPerf}, journal = {Nat. Mac. Intell.}, volume = {5}, number = {7}, pages = {799--810}, year = {2023}, url = {https://doi.org/10.1038/s42256-023-00652-2}, doi = {10.1038/S42256-023-00652-2}, timestamp = {Sat, 08 Jun 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/natmi/KarargyrisUSAGWPKZBMCGNRKXBCBEATS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/MazumderBYKRDDH23, author = {Mark Mazumder and Colby R. Banbury and Xiaozhe Yao and Bojan Karlas and William Gaviria Rojas and Sudnya Frederick Diamos and Greg Diamos and Lynn He and Alicia Parrish and Hannah Rose Kirk and Jessica Quaye and Charvi Rastogi and Douwe Kiela and David Jurado and David Kanter and Rafael Mosquera and Will Cukierski and Juan Ciro and Lora Aroyo and Bilge Acun and Lingjiao Chen and Mehul Raje and Max Bartolo and Evan Sabri Eyuboglu and Amirata Ghorbani and Emmett D. Goodman and Addison Howard and Oana Inel and Tariq Kane and Christine R. Kirkpatrick and D. Sculley and Tzu{-}Sheng Kuo and Jonas W. Mueller and Tristan Thrush and Joaquin Vanschoren and Margaret Warren and Adina Williams and Serena Yeung and Newsha Ardalani and Praveen K. Paritosh and Ce Zhang and James Y. Zou and Carole{-}Jean Wu and Cody Coleman and Andrew Y. Ng and Peter Mattson and Vijay Janapa Reddi}, editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine}, title = {DataPerf: Benchmarks for Data-Centric {AI} Development}, booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023}, year = {2023}, url = {http://papers.nips.cc/paper\_files/paper/2023/hash/112db88215e25b3ae2750e9eefcded94-Abstract-Datasets\_and\_Benchmarks.html}, timestamp = {Wed, 03 Jul 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/nips/MazumderBYKRDDH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2311-13028, author = {Luis Oala and Manil Maskey and Lilith Bat{-}Leah and Alicia Parrish and Nezihe Merve G{\"{u}}rel and Tzu{-}Sheng Kuo and Yang Liu and Rotem Dror and Danilo Brajovic and Xiaozhe Yao and Max Bartolo and William Gaviria Rojas and Ryan Hileman and Rainier Aliment and Michael W. Mahoney and Meg Risdal and Matthew Lease and Wojciech Samek and Debojyoti Dutta and Curtis G. Northcutt and Cody Coleman and Braden Hancock and Bernard Koch and Girmaw Abebe Tadesse and Bojan Karlas and Ahmed M. Alaa and Adji Bousso Dieng and Natasha F. Noy and Vijay Janapa Reddi and James Zou and Praveen K. Paritosh and Mihaela van der Schaar and Kurt D. Bollacker and Lora Aroyo and Ce Zhang and Joaquin Vanschoren and Isabelle Guyon and Peter Mattson}, title = {{DMLR:} Data-centric Machine Learning Research - Past, Present and Future}, journal = {CoRR}, volume = {abs/2311.13028}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2311.13028}, doi = {10.48550/ARXIV.2311.13028}, eprinttype = {arXiv}, eprint = {2311.13028}, timestamp = {Fri, 13 Sep 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2311-13028.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/aaai/ColemanCKCBBNSZ22, 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}, title = {Similarity Search for Efficient Active Learning and Search of Rare Concepts}, 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}, pages = {6402--6410}, publisher = {{AAAI} Press}, year = {2022}, url = {https://doi.org/10.1609/aaai.v36i6.20591}, doi = {10.1609/AAAI.V36I6.20591}, timestamp = {Mon, 04 Sep 2023 12:29:24 +0200}, biburl = {https://dblp.org/rec/conf/aaai/ColemanCKCBBNSZ22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/RojasDKKRC22, author = {William Gaviria Rojas and Sudnya Frederick Diamos and Keertan Kini and David Kanter and Vijay Janapa Reddi and Cody Coleman}, editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh}, title = {The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World}, booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022}, year = {2022}, url = {http://papers.nips.cc/paper\_files/paper/2022/hash/5474d9d43c0519aa176276ff2c1ca528-Abstract-Datasets\_and\_Benchmarks.html}, timestamp = {Mon, 08 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nips/RojasDKKRC22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2207-10062, author = {Mark Mazumder and Colby R. Banbury and Xiaozhe Yao and Bojan Karlas and William Gaviria Rojas and Sudnya Frederick Diamos and Greg Diamos and Lynn He and Douwe Kiela and David Jurado and David Kanter and Rafael Mosquera and Juan Ciro and Lora Aroyo and Bilge Acun and Sabri Eyuboglu and Amirata Ghorbani and Emmett D. Goodman and Tariq Kane and Christine R. Kirkpatrick and Tzu{-}Sheng Kuo and Jonas Mueller and Tristan Thrush and Joaquin Vanschoren and Margaret Warren and Adina Williams and Serena Yeung and Newsha Ardalani and Praveen K. Paritosh and Ce Zhang and James Zou and Carole{-}Jean Wu and Cody Coleman and Andrew Y. Ng and Peter Mattson and Vijay Janapa Reddi}, title = {DataPerf: Benchmarks for Data-Centric {AI} Development}, journal = {CoRR}, volume = {abs/2207.10062}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2207.10062}, doi = {10.48550/ARXIV.2207.10062}, eprinttype = {arXiv}, eprint = {2207.10062}, timestamp = {Fri, 09 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2207-10062.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@phdthesis{DBLP:phd/us/Coleman21, author = {Cody Coleman}, title = {Resource and data efficient deep learning}, school = {Stanford University, {USA}}, year = {2021}, url = {https://searchworks.stanford.edu/view/13972856}, timestamp = {Fri, 02 Sep 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/phd/us/Coleman21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icphm/ColemanZS21, author = {Cody Coleman and Yi Zhang and Maria Seale}, title = {Leveraging Big Data to Discover High Yield Prognostics Applications}, booktitle = {International {IEEE} Conference on Prognostics and Health Management, {ICPHM} 2021, Detroit, MI, USA, June 7-9, 2021}, pages = {1--7}, publisher = {{IEEE}}, year = {2021}, url = {https://doi.org/10.1109/ICPHM51084.2021.9486672}, doi = {10.1109/ICPHM51084.2021.9486672}, timestamp = {Mon, 26 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icphm/ColemanZS21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2110-01406, author = {Alexandros Karargyris and Renato Umeton and Micah J. Sheller and Alejandro Aristizabal and Johnu George and Srini Bala and Daniel J. Beutel and Victor Bittorf and Akshay Chaudhari and Alexander Chowdhury and Cody Coleman and Bala Desinghu and Gregory F. Diamos and Debo Dutta and Diane Feddema and Grigori Fursin and Junyi Guo and Xinyuan Huang and David Kanter and Satyananda Kashyap and Nicholas D. Lane and Indranil Mallick and Pietro Mascagni and Virendra Mehta and Vivek Natarajan and Nikola Nikolov and Nicolas Padoy and Gennady Pekhimenko and Vijay Janapa Reddi and G. Anthony Reina and Pablo Ribalta and Jacob Rosenthal and Abhishek Singh and Jayaraman J. Thiagarajan and Anna Wuest and Maria Xenochristou and Daguang Xu and Poonam Yadav and Michael Rosenthal and Massimo Loda and Jason M. Johnson and Peter Mattson}, title = {MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation}, journal = {CoRR}, volume = {abs/2110.01406}, year = {2021}, url = {https://arxiv.org/abs/2110.01406}, eprinttype = {arXiv}, eprint = {2110.01406}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2110-01406.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/micro/MattsonTWWRCCDK20, author = {Peter Mattson and Hanlin Tang and Gu{-}Yeon Wei and Carole{-}Jean Wu and Vijay Janapa Reddi and Christine Cheng and Cody Coleman and Greg Diamos and David Kanter and Paulius Micikevicius and David A. Patterson and Guenther Schmuelling}, title = {MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance}, journal = {{IEEE} Micro}, volume = {40}, number = {2}, pages = {8--16}, year = {2020}, url = {https://doi.org/10.1109/MM.2020.2974843}, doi = {10.1109/MM.2020.2974843}, timestamp = {Thu, 13 Apr 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/micro/MattsonTWWRCCDK20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iclr/ColemanYMMBLLZ20, author = {Cody Coleman and Christopher Yeh and Stephen Mussmann and Baharan Mirzasoleiman and Peter Bailis and Percy Liang and Jure Leskovec and Matei Zaharia}, title = {Selection via Proxy: Efficient Data Selection for Deep Learning}, booktitle = {8th International Conference on Learning Representations, {ICLR} 2020, Addis Ababa, Ethiopia, April 26-30, 2020}, publisher = {OpenReview.net}, year = {2020}, url = {https://openreview.net/forum?id=HJg2b0VYDr}, timestamp = {Thu, 07 May 2020 17:11:47 +0200}, biburl = {https://dblp.org/rec/conf/iclr/ColemanYMMBLLZ20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/isca/ReddiCKMSWABCCC20, author = {Vijay Janapa Reddi and Christine Cheng and David Kanter and Peter Mattson and Guenther Schmuelling and Carole{-}Jean Wu and Brian Anderson and Maximilien Breughe and Mark Charlebois and William Chou and Ramesh Chukka and Cody Coleman and Sam Davis and Pan Deng and Greg Diamos and Jared Duke and Dave Fick and J. Scott Gardner and Itay Hubara and Sachin Idgunji and Thomas B. Jablin and Jeff Jiao and Tom St. John and Pankaj Kanwar and David Lee and Jeffery Liao and Anton Lokhmotov and Francisco Massa and Peng Meng and Paulius Micikevicius and Colin Osborne and Gennady Pekhimenko and Arun Tejusve Raghunath Rajan and Dilip Sequeira and Ashish Sirasao and Fei Sun and Hanlin Tang and Michael Thomson and Frank Wei and Ephrem Wu and Lingjie Xu and Koichi Yamada and Bing Yu and George Yuan and Aaron Zhong and Peizhao Zhang and Yuchen Zhou}, title = {MLPerf Inference Benchmark}, booktitle = {47th {ACM/IEEE} Annual International Symposium on Computer Architecture, {ISCA} 2020, Virtual Event / Valencia, Spain, May 30 - June 3, 2020}, pages = {446--459}, publisher = {{IEEE}}, year = {2020}, url = {https://doi.org/10.1109/ISCA45697.2020.00045}, doi = {10.1109/ISCA45697.2020.00045}, timestamp = {Mon, 19 Feb 2024 07:32:24 +0100}, biburl = {https://dblp.org/rec/conf/isca/ReddiCKMSWABCCC20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/mlsys/MattsonCDCMPTWB20, author = {Peter Mattson and Christine Cheng and Gregory F. Diamos and Cody Coleman and Paulius Micikevicius and David A. Patterson and Hanlin Tang and Gu{-}Yeon Wei and Peter Bailis and Victor Bittorf and David Brooks and Dehao Chen and Debo Dutta and Udit Gupta and Kim M. Hazelwood and Andy Hock and Xinyuan Huang and Daniel Kang and David Kanter and Naveen Kumar and Jeffery Liao and Deepak Narayanan and Tayo Oguntebi and Gennady Pekhimenko and Lillian Pentecost and Vijay Janapa Reddi and Taylor Robie and Tom St. John and Carole{-}Jean Wu and Lingjie Xu and Cliff Young and Matei Zaharia}, editor = {Inderjit S. Dhillon and Dimitris S. Papailiopoulos and Vivienne Sze}, title = {MLPerf Training Benchmark}, booktitle = {Proceedings of the Third Conference on Machine Learning and Systems, MLSys 2020, Austin, TX, USA, March 2-4, 2020}, publisher = {mlsys.org}, year = {2020}, url = {https://proceedings.mlsys.org/paper\_files/paper/2020/hash/411e39b117e885341f25efb8912945f7-Abstract.html}, timestamp = {Fri, 28 Jun 2024 10:41:08 +0200}, biburl = {https://dblp.org/rec/conf/mlsys/MattsonCDCMPTWB20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2007-00077, author = {Cody Coleman and Edward Chou and Sean Culatana and Peter Bailis and Alexander C. Berg and Roshan Sumbaly and Matei Zaharia and I. Zeki Yalniz}, title = {Similarity Search for Efficient Active Learning and Search of Rare Concepts}, journal = {CoRR}, volume = {abs/2007.00077}, year = {2020}, url = {https://arxiv.org/abs/2007.00077}, eprinttype = {arXiv}, eprint = {2007.00077}, timestamp = {Mon, 06 Jul 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2007-00077.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/sigops/ColemanKNNZZBOR19, author = {Cody Coleman and Daniel Kang and Deepak Narayanan and Luigi Nardi and Tian Zhao and Jian Zhang and Peter Bailis and Kunle Olukotun and Christopher R{\'{e}} and Matei Zaharia}, title = {Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark}, journal = {{ACM} {SIGOPS} Oper. Syst. Rev.}, volume = {53}, number = {1}, pages = {14--25}, year = {2019}, url = {https://doi.org/10.1145/3352020.3352024}, doi = {10.1145/3352020.3352024}, timestamp = {Mon, 05 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/sigops/ColemanKNNZZBOR19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1906-11829, author = {Cody Coleman and Christopher Yeh and Stephen Mussmann and Baharan Mirzasoleiman and Peter Bailis and Percy Liang and Jure Leskovec and Matei Zaharia}, title = {Selection Via Proxy: Efficient Data Selection For Deep Learning}, journal = {CoRR}, volume = {abs/1906.11829}, year = {2019}, url = {http://arxiv.org/abs/1906.11829}, eprinttype = {arXiv}, eprint = {1906.11829}, timestamp = {Mon, 01 Jul 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1906-11829.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1910-01500, author = {Peter Mattson and Christine Cheng and Cody Coleman and Greg Diamos and Paulius Micikevicius and David A. Patterson and Hanlin Tang and Gu{-}Yeon Wei and Peter Bailis and Victor Bittorf and David Brooks and Dehao Chen and Debojyoti Dutta and Udit Gupta and Kim M. Hazelwood and Andrew Hock and Xinyuan Huang and Bill Jia and Daniel Kang and David Kanter and Naveen Kumar and Jeffery Liao and Guokai Ma and Deepak Narayanan and Tayo Oguntebi and Gennady Pekhimenko and Lillian Pentecost and Vijay Janapa Reddi and Taylor Robie and Tom St. John and Carole{-}Jean Wu and Lingjie Xu and Cliff Young and Matei Zaharia}, title = {MLPerf Training Benchmark}, journal = {CoRR}, volume = {abs/1910.01500}, year = {2019}, url = {http://arxiv.org/abs/1910.01500}, eprinttype = {arXiv}, eprint = {1910.01500}, timestamp = {Thu, 13 Apr 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1910-01500.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1911-02549, author = {Vijay Janapa Reddi and Christine Cheng and David Kanter and Peter Mattson and Guenther Schmuelling and Carole{-}Jean Wu and Brian Anderson and Maximilien Breughe and Mark Charlebois and William Chou and Ramesh Chukka and Cody Coleman and Sam Davis and Pan Deng and Greg Diamos and Jared Duke and Dave Fick and J. Scott Gardner and Itay Hubara and Sachin Idgunji and Thomas B. Jablin and Jeff Jiao and Tom St. John and Pankaj Kanwar and David Lee and Jeffery Liao and Anton Lokhmotov and Francisco Massa and Peng Meng and Paulius Micikevicius and Colin Osborne and Gennady Pekhimenko and Arun Tejusve Raghunath Rajan and Dilip Sequeira and Ashish Sirasao and Fei Sun and Hanlin Tang and Michael Thomson and Frank Wei and Ephrem Wu and Lingjie Xu and Koichi Yamada and Bing Yu and George Yuan and Aaron Zhong and Peizhao Zhang and Yuchen Zhou}, title = {MLPerf Inference Benchmark}, journal = {CoRR}, volume = {abs/1911.02549}, year = {2019}, url = {http://arxiv.org/abs/1911.02549}, eprinttype = {arXiv}, eprint = {1911.02549}, timestamp = {Mon, 11 Nov 2019 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-1911-02549.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1806-01427, author = {Cody Coleman and Daniel Kang and Deepak Narayanan and Luigi Nardi and Tian Zhao and Jian Zhang and Peter Bailis and Kunle Olukotun and Christopher R{\'{e}} and Matei Zaharia}, title = {Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark}, journal = {CoRR}, volume = {abs/1806.01427}, year = {2018}, url = {http://arxiv.org/abs/1806.01427}, eprinttype = {arXiv}, eprint = {1806.01427}, timestamp = {Mon, 24 Aug 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1806-01427.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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