Cody Coleman
Cody Coleman
Coactive AI
Verified email at - Homepage
Cited by
Cited by
HarvardX and MITx: Two years of open online courses fall 2012-summer 2014
A Ho, I Chuang, J Reich, C Coleman, J Whitehill, C Northcutt, J Williams, ...
Available at SSRN 2586847, 2015
MLPerf Inference Benchmark
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
DAWNBench: An End-to-End Deep Learning Benchmark and Competition
C Coleman, D Narayanan, D Kang, T Zhao, J Zhang, L Nardi, P Bailis, ...
NIPS ML Systems Workshop, 2017
MLPerf Training Benchmark
P Mattson, C Cheng, C Coleman, G Diamos, P Micikevicius, D Patterson, ...
arXiv preprint arXiv:1910.01500, 2019
Selection via proxy: Efficient data selection for deep learning
C Coleman, C Yeh, S Mussmann, B Mirzasoleiman, P Bailis, P Liang, ...
arXiv preprint arXiv:1906.11829, 2019
MLPerf: An industry standard benchmark suite for machine learning performance
P Mattson, VJ Reddi, C Cheng, C Coleman, G Diamos, D Kanter, ...
IEEE Micro 40 (2), 8-16, 2020
Beyond prediction: First steps toward automatic intervention in MOOC student stopout
J Whitehill, J Williams, G Lopez, C Coleman, J Reich
Available at SSRN 2611750, 2015
Analysis of dawnbench, a time-to-accuracy machine learning performance benchmark
C Coleman, D Kang, D Narayanan, L Nardi, T Zhao, J Zhang, P Bailis, ...
ACM SIGOPS Operating Systems Review 53 (1), 14-25, 2019
Probabilistic use cases: Discovering behavioral patterns for predicting certification
CA Coleman, DT Seaton, I Chuang
Proceedings of the second (2015) acm conference on learning@ scale, 141-148, 2015
Dataperf: Benchmarks for data-centric ai development
M Mazumder, C Banbury, X Yao, B Karla¹, W Gaviria Rojas, S Diamos, ...
Advances in Neural Information Processing Systems 36, 2024
Teacher enrollment in MITx MOOCs: Are we educating educators?
D Seaton, C Coleman, J Daries, I Chuang
Available at SSRN 2515385, 2014
Beyond time-on-task: The relationship between spaced study and certification in MOOCs
Y Miyamoto, C Coleman, J Williams, J Whitehill, S Nesterko, J Reich
Available at SSRN 2547799, 2015
The dollar street dataset: Images representing the geographic and socioeconomic diversity of the world
WAG Rojas, S Diamos, KR Kini, D Kanter, VJ Reddi, C Coleman
Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022
Federated benchmarking of medical artificial intelligence with MedPerf
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ...
Nature Machine Intelligence 5 (7), 799-810, 2023
Similarity search for efficient active learning and search of rare concepts
C Coleman, E Chou, J Katz-Samuels, S Culatana, P Bailis, AC Berg, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6402-6410, 2022
Medperf: open benchmarking platform for medical artificial intelligence using federated evaluation
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, S Bala, ...
arXiv preprint arXiv:2110.01406, 2021
DMLR: Data-centric Machine Learning Research--Past, Present and Future
L Oala, M Maskey, L Bat-Leah, A Parrish, NM Gürel, TS Kuo, Y Liu, R Dror, ...
arXiv preprint arXiv:2311.13028, 2023
Analysis of video use in edX courses
DT Seaton, AJ Rodenius, CA Coleman, DE Pritchard, I Chuang
AIED 2013 Workshops Proceedings Volume, 57, 2013
The Dollar Street dataset: Images representing the geographic and socioeconomic diversity of the world
W Gaviria Rojas, S Diamos, K Kini, D Kanter, V Janapa Reddi, ...
Advances in Neural Information Processing Systems 35, 12979-12990, 2022
Identifying and characterizing subpopulations in massive open online courses
CA Coleman
Massachusetts Institute of Technology, 2015
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