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BibTeX records: Benoit Steiner
@inproceedings{DBLP:conf/cpaior/HuangFTDS23, author = {Taoan Huang and Aaron M. Ferber and Yuandong Tian and Bistra Dilkina and Benoit Steiner}, editor = {Andr{\'{e}} A. Cir{\'{e}}}, title = {Local Branching Relaxation Heuristics for Integer Linear Programs}, booktitle = {Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 20th International Conference, {CPAIOR} 2023, Nice, France, May 29 - June 1, 2023, Proceedings}, series = {Lecture Notes in Computer Science}, volume = {13884}, pages = {96--113}, publisher = {Springer}, year = {2023}, url = {https://doi.org/10.1007/978-3-031-33271-5\_7}, doi = {10.1007/978-3-031-33271-5\_7}, timestamp = {Fri, 02 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/cpaior/HuangFTDS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/FerberHZSSDT23, author = {Aaron M. Ferber and Taoan Huang and Daochen Zha and Martin Schubert and Benoit Steiner and Bistra Dilkina and Yuandong Tian}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {10034--10052}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/ferber23a.html}, timestamp = {Mon, 28 Aug 2023 17:23:08 +0200}, biburl = {https://dblp.org/rec/conf/icml/FerberHZSSDT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/HuangFTDS23, author = {Taoan Huang and Aaron M. Ferber and Yuandong Tian and Bistra Dilkina and Benoit Steiner}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {13869--13890}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/huang23g.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/HuangFTDS23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/LiangSSCEGSYXLT23, author = {Youwei Liang and Kevin Stone and Ali Shameli and Chris Cummins and Mostafa Elhoushi and Jiadong Guo and Benoit Steiner and Xiaomeng Yang and Pengtao Xie and Hugh James Leather and Yuandong Tian}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {Learning Compiler Pass Orders using Coreset and Normalized Value Prediction}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {20746--20762}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/liang23f.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/LiangSSCEGSYXLT23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/SteinerEKH23, author = {Benoit Steiner and Mostafa Elhoushi and Jacob Kahn and James Hegarty}, editor = {Andreas Krause and Emma Brunskill and Kyunghyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett}, title = {MODeL: Memory Optimizations for Deep Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2023, 23-29 July 2023, Honolulu, Hawaii, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {202}, pages = {32618--32632}, publisher = {{PMLR}}, year = {2023}, url = {https://proceedings.mlr.press/v202/steiner23a.html}, timestamp = {Mon, 28 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/icml/SteinerEKH23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2301-05104, author = {Youwei Liang and Kevin Stone and Ali Shameli and Chris Cummins and Mostafa Elhoushi and Jiadong Guo and Benoit Steiner and Xiaomeng Yang and Pengtao Xie and Hugh Leather and Yuandong Tian}, title = {Learning Compiler Pass Orders using Coreset and Normalized Value Prediction}, journal = {CoRR}, volume = {abs/2301.05104}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2301.05104}, doi = {10.48550/ARXIV.2301.05104}, eprinttype = {arXiv}, eprint = {2301.05104}, timestamp = {Tue, 31 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2301-05104.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2302-01578, author = {Taoan Huang and Aaron M. Ferber and Yuandong Tian and Bistra Dilkina and Benoit Steiner}, title = {Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning}, journal = {CoRR}, volume = {abs/2302.01578}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2302.01578}, doi = {10.48550/ARXIV.2302.01578}, eprinttype = {arXiv}, eprint = {2302.01578}, timestamp = {Thu, 09 Feb 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2302-01578.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2307-13702, author = {Tamera Lanham and Anna Chen and Ansh Radhakrishnan and Benoit Steiner and Carson Denison and Danny Hernandez and Dustin Li and Esin Durmus and Evan Hubinger and Jackson Kernion and Kamile Lukosiute and Karina Nguyen and Newton Cheng and Nicholas Joseph and Nicholas Schiefer and Oliver Rausch and Robin Larson and Sam McCandlish and Sandipan Kundu and Saurav Kadavath and Shannon Yang and Thomas Henighan and Timothy Maxwell and Timothy Telleen{-}Lawton and Tristan Hume and Zac Hatfield{-}Dodds and Jared Kaplan and Jan Brauner and Samuel R. Bowman and Ethan Perez}, title = {Measuring Faithfulness in Chain-of-Thought Reasoning}, journal = {CoRR}, volume = {abs/2307.13702}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2307.13702}, doi = {10.48550/ARXIV.2307.13702}, eprinttype = {arXiv}, eprint = {2307.13702}, timestamp = {Wed, 02 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2307-13702.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2308-03296, author = {Roger B. Grosse and Juhan Bae and Cem Anil and Nelson Elhage and Alex Tamkin and Amirhossein Tajdini and Benoit Steiner and Dustin Li and Esin Durmus and Ethan Perez and Evan Hubinger and Kamile Lukosiute and Karina Nguyen and Nicholas Joseph and Sam McCandlish and Jared Kaplan and Samuel R. Bowman}, title = {Studying Large Language Model Generalization with Influence Functions}, journal = {CoRR}, volume = {abs/2308.03296}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2308.03296}, doi = {10.48550/ARXIV.2308.03296}, eprinttype = {arXiv}, eprint = {2308.03296}, timestamp = {Tue, 22 Aug 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2308-03296.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/cgo/CumminsWGCAGJLT22, author = {Chris Cummins and Bram Wasti and Jiadong Guo and Brandon Cui and Jason Ansel and Sahir Gomez and Somya Jain and Jia Liu and Olivier Teytaud and Benoit Steiner and Yuandong Tian and Hugh Leather}, editor = {Jae W. Lee and Sebastian Hack and Tatiana Shpeisman}, title = {CompilerGym: Robust, Performant Compiler Optimization Environments for {AI} Research}, booktitle = {{IEEE/ACM} International Symposium on Code Generation and Optimization, {CGO} 2022, Seoul, Korea, Republic of, April 2-6, 2022}, pages = {92--105}, publisher = {{IEEE}}, year = {2022}, url = {https://doi.org/10.1109/CGO53902.2022.9741258}, doi = {10.1109/CGO53902.2022.9741258}, timestamp = {Fri, 01 Apr 2022 09:22:54 +0200}, biburl = {https://dblp.org/rec/conf/cgo/CumminsWGCAGJLT22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/KahnPLXHCT0GASL22, author = {Jacob D. Kahn and Vineel Pratap and Tatiana Likhomanenko and Qiantong Xu and Awni Y. Hannun and Jeff Cai and Paden Tomasello and Ann Lee and Edouard Grave and Gilad Avidov and Benoit Steiner and Vitaliy Liptchinsky and Gabriel Synnaeve and Ronan Collobert}, editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesv{\'{a}}ri and Gang Niu and Sivan Sabato}, title = {Flashlight: Enabling Innovation in Tools for Machine Learning}, booktitle = {International Conference on Machine Learning, {ICML} 2022, 17-23 July 2022, Baltimore, Maryland, {USA}}, series = {Proceedings of Machine Learning Research}, volume = {162}, pages = {10557--10574}, publisher = {{PMLR}}, year = {2022}, url = {https://proceedings.mlr.press/v162/kahn22a.html}, timestamp = {Tue, 12 Jul 2022 17:36:52 +0200}, biburl = {https://dblp.org/rec/conf/icml/KahnPLXHCT0GASL22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/pldi/SinghHLS22, author = {Shikhar Singh and James Hegarty and Hugh Leather and Benoit Steiner}, editor = {Swarat Chaudhuri and Charles Sutton}, title = {A graph neural network-based performance model for deep learning applications}, booktitle = {MAPS@PLDI 2022: 6th {ACM} {SIGPLAN} International Symposium on Machine Programming, San Diego, CA, USA, 13 June 2022}, pages = {11--20}, publisher = {{ACM}}, year = {2022}, url = {https://doi.org/10.1145/3520312.3534863}, doi = {10.1145/3520312.3534863}, timestamp = {Wed, 29 Jun 2022 12:22:44 +0200}, biburl = {https://dblp.org/rec/conf/pldi/SinghHLS22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2201-12465, author = {Jacob Kahn and Vineel Pratap and Tatiana Likhomanenko and Qiantong Xu and Awni Y. Hannun and Jeff Cai and Paden Tomasello and Ann Lee and Edouard Grave and Gilad Avidov and Benoit Steiner and Vitaliy Liptchinsky and Gabriel Synnaeve and Ronan Collobert}, title = {Flashlight: Enabling Innovation in Tools for Machine Learning}, journal = {CoRR}, volume = {abs/2201.12465}, year = {2022}, url = {https://arxiv.org/abs/2201.12465}, eprinttype = {arXiv}, eprint = {2201.12465}, timestamp = {Tue, 05 Apr 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2201-12465.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2205-00618, author = {Bram Wasti and Jos{\'{e}} Pablo Cambronero and Benoit Steiner and Hugh Leather and Aleksandar Zlateski}, title = {LoopStack: a Lightweight Tensor Algebra Compiler Stack}, journal = {CoRR}, volume = {abs/2205.00618}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2205.00618}, doi = {10.48550/ARXIV.2205.00618}, eprinttype = {arXiv}, eprint = {2205.00618}, timestamp = {Tue, 03 May 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2205-00618.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2210-12547, author = {Aaron M. Ferber and Taoan Huang and Daochen Zha and Martin Schubert and Benoit Steiner and Bistra Dilkina and Yuandong Tian}, title = {SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems}, journal = {CoRR}, volume = {abs/2210.12547}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2210.12547}, doi = {10.48550/ARXIV.2210.12547}, eprinttype = {arXiv}, eprint = {2210.12547}, timestamp = {Fri, 28 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2210-12547.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2210-12924, author = {Benoit Steiner and Mostafa Elhoushi and Jacob Kahn and James Hegarty}, title = {{OLLA:} Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays}, journal = {CoRR}, volume = {abs/2210.12924}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2210.12924}, doi = {10.48550/ARXIV.2210.12924}, eprinttype = {arXiv}, eprint = {2210.12924}, timestamp = {Fri, 28 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2210-12924.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2212-08183, author = {Taoan Huang and Aaron M. Ferber and Yuandong Tian and Bistra Dilkina and Benoit Steiner}, title = {Local Branching Relaxation Heuristics for Integer Linear Programs}, journal = {CoRR}, volume = {abs/2212.08183}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2212.08183}, doi = {10.48550/ARXIV.2212.08183}, eprinttype = {arXiv}, eprint = {2212.08183}, timestamp = {Mon, 02 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2212-08183.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/mlsys/SteinerCHL21, author = {Benoit Steiner and Chris Cummins and Horace He and Hugh Leather}, editor = {Alex Smola and Alex Dimakis and Ion Stoica}, title = {Value Learning for Throughput Optimization of Deep Learning Workloads}, booktitle = {Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual, April 5-9, 2021}, publisher = {mlsys.org}, year = {2021}, url = {https://proceedings.mlsys.org/paper/2021/hash/73278a4a86960eeb576a8fd4c9ec6997-Abstract.html}, timestamp = {Mon, 23 May 2022 11:55:02 +0200}, biburl = {https://dblp.org/rec/conf/mlsys/SteinerCHL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/YangZCCSWGKT21, author = {Kevin Yang and Tianjun Zhang and Chris Cummins and Brandon Cui and Benoit Steiner and Linnan Wang and Joseph E. Gonzalez and Dan Klein and Yuandong Tian}, editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan}, title = {Learning Space Partitions for Path Planning}, booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual}, pages = {378--391}, year = {2021}, url = {https://proceedings.neurips.cc/paper/2021/hash/03a3655fff3e9bdea48de9f49e938e32-Abstract.html}, timestamp = {Tue, 03 May 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/nips/YangZCCSWGKT21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2106-10544, author = {Kevin Yang and Tianjun Zhang and Chris Cummins and Brandon Cui and Benoit Steiner and Linnan Wang and Joseph E. Gonzalez and Dan Klein and Yuandong Tian}, title = {Learning Space Partitions for Path Planning}, journal = {CoRR}, volume = {abs/2106.10544}, year = {2021}, url = {https://arxiv.org/abs/2106.10544}, eprinttype = {arXiv}, eprint = {2106.10544}, timestamp = {Tue, 29 Jun 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2106-10544.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2108-12489, author = {Shikhar Singh and Benoit Steiner and James Hegarty and Hugh Leather}, title = {Using Graph Neural Networks to model the performance of Deep Neural Networks}, journal = {CoRR}, volume = {abs/2108.12489}, year = {2021}, url = {https://arxiv.org/abs/2108.12489}, eprinttype = {arXiv}, eprint = {2108.12489}, timestamp = {Thu, 02 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2108-12489.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2109-08267, author = {Chris Cummins and Bram Wasti and Jiadong Guo and Brandon Cui and Jason Ansel and Sahir Gomez and Somya Jain and Jia Liu and Olivier Teytaud and Benoit Steiner and Yuandong Tian and Hugh Leather}, title = {CompilerGym: Robust, Performant Compiler Optimization Environments for {AI} Research}, journal = {CoRR}, volume = {abs/2109.08267}, year = {2021}, url = {https://arxiv.org/abs/2109.08267}, eprinttype = {arXiv}, eprint = {2109.08267}, timestamp = {Wed, 22 Sep 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2109-08267.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2011-14486, author = {Benoit Steiner and Chris Cummins and Horace He and Hugh Leather}, title = {Value Function Based Performance Optimization of Deep Learning Workloads}, journal = {CoRR}, volume = {abs/2011.14486}, year = {2020}, url = {https://arxiv.org/abs/2011.14486}, eprinttype = {arXiv}, eprint = {2011.14486}, timestamp = {Tue, 01 Dec 2020 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2011-14486.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/tog/AdamsMABLGSJFDR19, author = {Andrew Adams and Karima Ma and Luke Anderson and Riyadh Baghdadi and Tzu{-}Mao Li and Micha{\"{e}}l Gharbi and Benoit Steiner and Steven Johnson and Kayvon Fatahalian and Fr{\'{e}}do Durand and Jonathan Ragan{-}Kelley}, title = {Learning to optimize halide with tree search and random programs}, journal = {{ACM} Trans. Graph.}, volume = {38}, number = {4}, pages = {121:1--121:12}, year = {2019}, url = {https://doi.org/10.1145/3306346.3322967}, doi = {10.1145/3306346.3322967}, timestamp = {Wed, 12 Aug 2020 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/tog/AdamsMABLGSJFDR19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nips/PaszkeGMLBCKLGA19, 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 Z. 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}, editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alch{\'{e}}{-}Buc and Emily B. Fox and Roman Garnett}, title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library}, 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}, pages = {8024--8035}, year = {2019}, url = {https://proceedings.neurips.cc/paper/2019/hash/bdbca288fee7f92f2bfa9f7012727740-Abstract.html}, timestamp = {Mon, 16 May 2022 15:41:51 +0200}, biburl = {https://dblp.org/rec/conf/nips/PaszkeGMLBCKLGA19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1912-01703, 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 Z. Yang and Zach DeVito and Martin Raison and Alykhan Tejani and Sasank Chilamkurthy and Benoit Steiner and Lu Fang and Junjie Bai and Soumith Chintala}, title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library}, journal = {CoRR}, volume = {abs/1912.01703}, year = {2019}, url = {http://arxiv.org/abs/1912.01703}, eprinttype = {arXiv}, eprint = {1912.01703}, timestamp = {Tue, 02 Nov 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-1912-01703.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/iclr/MirhoseiniGPSLD18, author = {Azalia Mirhoseini and Anna Goldie and Hieu Pham and Benoit Steiner and Quoc V. Le and Jeff Dean}, title = {A Hierarchical Model for Device Placement}, booktitle = {6th International Conference on Learning Representations, {ICLR} 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings}, publisher = {OpenReview.net}, year = {2018}, url = {https://openreview.net/forum?id=Hkc-TeZ0W}, timestamp = {Thu, 11 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/iclr/MirhoseiniGPSLD18.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/icml/MirhoseiniPLSLZ17, author = {Azalia Mirhoseini and Hieu Pham and Quoc V. Le and Benoit Steiner and Rasmus Larsen and Yuefeng Zhou and Naveen Kumar and Mohammad Norouzi and Samy Bengio and Jeff Dean}, editor = {Doina Precup and Yee Whye Teh}, title = {Device Placement Optimization with Reinforcement Learning}, booktitle = {Proceedings of the 34th International Conference on Machine Learning, {ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017}, series = {Proceedings of Machine Learning Research}, volume = {70}, pages = {2430--2439}, publisher = {{PMLR}}, year = {2017}, url = {http://proceedings.mlr.press/v70/mirhoseini17a.html}, timestamp = {Thu, 11 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/icml/MirhoseiniPLSLZ17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/MirhoseiniPLSLZ17, author = {Azalia Mirhoseini and Hieu Pham and Quoc V. Le and Benoit Steiner and Rasmus Larsen and Yuefeng Zhou and Naveen Kumar and Mohammad Norouzi and Samy Bengio and Jeff Dean}, title = {Device Placement Optimization with Reinforcement Learning}, journal = {CoRR}, volume = {abs/1706.04972}, year = {2017}, url = {http://arxiv.org/abs/1706.04972}, eprinttype = {arXiv}, eprint = {1706.04972}, timestamp = {Thu, 11 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/MirhoseiniPLSLZ17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/osdi/AbadiBCCDDDGIIK16, author = {Mart{\'{\i}}n Abadi and Paul Barham and Jianmin Chen and Zhifeng Chen and Andy Davis and Jeffrey Dean and Matthieu Devin and Sanjay Ghemawat and Geoffrey Irving and Michael Isard and Manjunath Kudlur and Josh Levenberg and Rajat Monga and Sherry Moore and Derek Gordon Murray and Benoit Steiner and Paul A. Tucker and Vijay Vasudevan and Pete Warden and Martin Wicke and Yuan Yu and Xiaoqiang Zheng}, editor = {Kimberly Keeton and Timothy Roscoe}, title = {TensorFlow: {A} System for Large-Scale Machine Learning}, booktitle = {12th {USENIX} Symposium on Operating Systems Design and Implementation, {OSDI} 2016, Savannah, GA, USA, November 2-4, 2016}, pages = {265--283}, publisher = {{USENIX} Association}, year = {2016}, url = {https://www.usenix.org/conference/osdi16/technical-sessions/presentation/abadi}, timestamp = {Tue, 02 Feb 2021 08:06:02 +0100}, biburl = {https://dblp.org/rec/conf/osdi/AbadiBCCDDDGIIK16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/AbadiABBCCCDDDG16, author = {Mart{\'{\i}}n Abadi and Ashish Agarwal and Paul Barham and Eugene Brevdo and Zhifeng Chen and Craig Citro and Gregory S. Corrado and Andy Davis and Jeffrey Dean and Matthieu Devin and Sanjay Ghemawat and Ian J. Goodfellow and Andrew Harp and Geoffrey Irving and Michael Isard and Yangqing Jia and Rafal J{\'{o}}zefowicz and Lukasz Kaiser and Manjunath Kudlur and Josh Levenberg and Dan Man{\'{e}} and Rajat Monga and Sherry Moore and Derek Gordon Murray and Chris Olah and Mike Schuster and Jonathon Shlens and Benoit Steiner and Ilya Sutskever and Kunal Talwar and Paul A. Tucker and Vincent Vanhoucke and Vijay Vasudevan and Fernanda B. Vi{\'{e}}gas and Oriol Vinyals and Pete Warden and Martin Wattenberg and Martin Wicke and Yuan Yu and Xiaoqiang Zheng}, title = {TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems}, journal = {CoRR}, volume = {abs/1603.04467}, year = {2016}, url = {http://arxiv.org/abs/1603.04467}, eprinttype = {arXiv}, eprint = {1603.04467}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/AbadiABBCCCDDDG16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/AbadiBCCDDDGIIK16, author = {Mart{\'{\i}}n Abadi and Paul Barham and Jianmin Chen and Zhifeng Chen and Andy Davis and Jeffrey Dean and Matthieu Devin and Sanjay Ghemawat and Geoffrey Irving and Michael Isard and Manjunath Kudlur and Josh Levenberg and Rajat Monga and Sherry Moore and Derek Gordon Murray and Benoit Steiner and Paul A. Tucker and Vijay Vasudevan and Pete Warden and Martin Wicke and Yuan Yu and Xiaoqiang Zhang}, title = {TensorFlow: {A} system for large-scale machine learning}, journal = {CoRR}, volume = {abs/1605.08695}, year = {2016}, url = {http://arxiv.org/abs/1605.08695}, eprinttype = {arXiv}, eprint = {1605.08695}, timestamp = {Mon, 13 Aug 2018 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/AbadiBCCDDDGIIK16.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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