Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 1429* | 2023 |
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 739 | 2022 |
Mainstream: Dynamic {Stem-Sharing} for {Multi-Tenant} Video Processing AH Jiang, DLK Wong, C Canel, L Tang, I Misra, M Kaminsky, MA Kozuch, ... 2018 USENIX Annual Technical Conference (USENIX ATC 18), 29-42, 2018 | 108 | 2018 |
Accelerating deep learning by focusing on the biggest losers AH Jiang, DLK Wong, G Zhou, DG Andersen, J Dean, GR Ganger, ... arXiv preprint arXiv:1910.00762, 2019 | 101 | 2019 |
3sigma: distribution-based cluster scheduling for runtime uncertainty JW Park, A Tumanov, A Jiang, MA Kozuch, GR Ganger Proceedings of the Thirteenth EuroSys Conference, 1-17, 2018 | 85 | 2018 |
A holistic approach to undesired content detection in the real world T Markov, C Zhang, S Agarwal, FE Nekoul, T Lee, S Adler, A Jiang, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15009 …, 2023 | 79 | 2023 |
JamaisVu: Robust scheduling with auto-estimated job runtimes A Tumanov, A Jiang, JW Park, MA Kozuch, GR Ganger Accessed September, 2016 | 34 | 2016 |
New and improved content moderation tooling T Markov, C Zhang, S Agarwal, T Eloundou, T Lee, S Adler, A Jiang, ... OpenAI.< https://openai. com/blog/new-andimproved-content-moderation-tooling …, 2022 | 14 | 2022 |
A cliq of content curators AH Jiang, ZS Bischof, FE Bustamante Proceedings of the 2014 ACM conference on SIGCOMM, 139-140, 2014 | 10 | 2014 |
Bioresorbable hyaluronic acid hydrogels for tissue engineering applications SA Bencherif, A Srinivasan, A Jiang, J Hollinger, K Matyjaszewski, ... ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 236, 2008 | 1 | 2008 |
Memoization to reduce forward-passes in selective-backprop L TANG, A JIANG, G GANGER | 1 | |
Improving Deep Learning Training and Inference with Dynamic Hyperparameter Optimization A Jiang Carnegie Mellon University, 2021 | | 2021 |
Improving ML Training and Inference with Dynamic Hyperparameter Optimization AH Jiang Carnegie Mellon University Pittsburgh, PA, 2019 | | 2019 |
3Sigma JW Park, A Tumanov, A Jiang, MA Kozuch, GR Ganger Proceedings of the Thirteenth EuroSys Conference, 2018 | | 2018 |
CMU-PDL-17-107 November 2017 JW Park, A Tumanov, A Jiang, MA Kozuch, GR Ganger | | 2017 |
CMU-PDL-16-104 September 2016 A Tumanov, A Jiang, JW Park, MA Kozuch, GR Ganger | | 2016 |
AGHAYEV, Abutalib CMU-CS-20-130 BEN-DAVID, Naama CMU-CS-20-126 BLAKLEY, James R. CMU-CS-20-135 BROOKS, Logan CMU-CS-20-100 N BROWN, D CHENG, MJ COBLENZ, Z COKER, V COMMURI, M CONN, ... | | |
2020 Theses by Author A AGHAYEV, N BEN-DAVID, L BROOKS, N BROWN, D CHENG, ... | | |
Speaking Skills Talk A Jiang | | |
Dynamic Stem-Sharing for Multi-Tenant Video Processing A Jiang, C Canel, D Wong, M Kaminsky, MA Kozuch, P Pillai, ... | | |