Cluster ensembles, majority vote, voter eligibility and privileged voters M Charkhabi, T Dhot, SA Mojarad International Journal of Machine Learning and Computing 4 (3), 275, 2014 | 14 | 2014 |
MLPerf Mobile Inference Benchmark VJ Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, K Shiring, ... arXiv preprint arXiv:2012.02328, 2020 | 6 | 2020 |
MLPerf mobile inference benchmark: Why mobile AI benchmarking is hard and what to do about it VJ Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, K Shiring, ... arXiv preprint arXiv:2012.02328, 2020 | 4 | 2020 |
MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI V Janapa Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, ... Proceedings of Machine Learning and Systems 4, 352-369, 2022 | 3 | 2022 |
Adjustments to propensity score matching for network structures M Charkhabi 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 3 | 2014 |
Efficient training and inference in highly temporal activity recognition M Charkhabi, N Rahurkar 2019 International Conference on Image and Video Processing, and Artificial …, 2019 | 1 | 2019 |
MLPerf Mobile Inference Benchmark V Janapa Reddi, D Kanter, P Mattson, J Duke, T Nguyen, R Chukka, ... arXiv e-prints, arXiv: 2012.02328, 2020 | | 2020 |