A group-theoretic framework for data augmentation S Chen, E Dobriban, JH Lee Journal of Machine Learning Research 21 (245), 1-71, 2020 | 266* | 2020 |
Learning from Noisy Labels with No Change to the Training Process M Zhang, J Lee, S Agarwal International Conference on Machine Learning, 12468-12478, 2021 | 42 | 2021 |
The rural–urban stress divide: obtaining geographical insights through Twitter K Jaidka, SC Guntuku, JH Lee, Z Luo, A Buffone, LH Ungar Computers in Human Behavior 114, 106544, 2021 | 20 | 2021 |
Exact Gradient Computation for Spiking Neural Networks via Forward Propagation JH Lee, S Haghighatshoar, A Karbasi International Conference on Artificial Intelligence and Statistics, 1812-1831, 2023 | 9* | 2023 |
Learning Exponential Families from Truncated Samples J Lee, A Wibisono, E Zampetakis Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians JH Lee, A Mehrotra, M Zampetakis 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS …, 2024 | 1 | 2024 |
LoReHLT 2019 Submission S Mayhew, T Tsygankova, F Marini, Z Wang, J Lee, X Yu, X Fu, W Shi, ... | | |