| Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset M Groh, C Harris, L Soenksen, F Lau, R Han, A Kim, A Koochek, O Badri Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 122 | 2021 |
| Stochastic Answer Networks for SQuAD 2.0 X Liu, W Li, Y Fang, A Kim, K Duh, J Gao arXiv preprint arXiv:1809.09194, 2018 | 24 | 2018 |
| DEBAGREEMENT: A comment-reply dataset for (dis) agreement detection in online debates J Pougué-Biyong, V Semenova, A Matton, R Han, A Kim, R Lambiotte, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 23 | 2021 |
| On The State of Data In Computer Vision: Human Annotations Remain Indispensable for Developing Deep Learning Models Z Emam, A Kondrich, S Harrison, F Lau, Y Wang, A Kim, E Branson International Conference on Machine Learning - Human in the Loop Learning …, 2021 | 10 | 2021 |
| Glidenet: Global, local and intrinsic based dense embedding network for multi-category attributes prediction K Metwaly, A Kim, E Branson, V Monga Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
| Natural Adversarial Objects F Lau, N Subramani, S Harrison, A Kim, E Branson, R Liu Thirty-fifth Conference on Neural Information Processing Systems Data …, 2021 | 6 | 2021 |
| Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing Y Bai, BG Anderson, A Kim, S Sojoudi SIAM Journal on Mathematics of Data Science, 2023 | 4 | 2023 |
| CAR--Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles K Metwaly, A Kim, E Branson, V Monga arXiv preprint arXiv:2111.08243, 2021 | 3 | 2021 |
| Annual Interruption Rate as a KPI, its measurement and comparison R Pandey, Y Dang, A Vira, A Kim, GL Shafriri, M Chintalapati arXiv preprint arXiv:1910.12200, 2019 | 1 | 2019 |
| Let's Go Shopping (LGS)--Web-Scale Image-Text Dataset for Visual Concept Understanding Y Bai, U Garg, A Shanker, H Zhang, S Parajuli, E Bas, I Filipovic, AN Chu, ... arXiv preprint arXiv:2401.04575, 2024 | | 2024 |
| Breaking hypothesis testing for failure rates R Pandey, Y Dang, GL Shafriri, M Chintalapati, A Kim arXiv preprint arXiv:2001.04045, 2020 | | 2020 |
| INTELLIGENT SCHEDULING TOOL US Patent 405818-US-N P, 2019 | | 2019 |
| Optimizing Waiting Thresholds Within A State Machine R Pandey, Y Chang, C White, G Jagtiani, AY Kim, GL Shafriri, S Singh arXiv preprint arXiv:1810.03278, 2018 | | 2018 |
Felix LauAppleVerified email at apple.com
