2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 1 cited
Semi-Supervised Adversarial Discriminative Domain Adaptation
Thai-Vu Nguyen, Anh Nguyen, Nghia Le +1
Domain adaptation is a potential method to train a powerful deep neural network, which can handle the absence of labeled data. More precisely, domain adaptation solving the limitat…
cs.LG2020★ 2 cited
MLPerf Mobile Inference Benchmark
Vijay Janapa Reddi, David Kanter, Peter Mattson +24
This paper presents the first industry-standard open-source machine learning (ML) benchmark to allow perfor mance and accuracy evaluation of mobile devices with different AI chips…