| Generating accurate pseudo-labels in semi-supervised learning and avoiding overconfident predictions via hermite polynomial activations VS Lokhande, S Tasneeyapant, A Venkatesh, SN Ravi, V Singh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 39 | 2020 |
| A fast, scalable, unsupervised approach to real-time traffic incident detection M Thaika, S Tasneeyapant, S Cheamanunkul 2018 15th International Joint Conference on Computer Science and Software …, 2018 | 6 | 2018 |
| Mixed effects neural ode: A variational approximation for analyzing the dynamics of panel data J Nazarovs, R Chakraborty, S Tasneeyapant, SN Ravi, V Singh arXiv preprint arXiv:2202.09463, 2022 | 3 | 2022 |
| Understanding uncertainty maps in vision with statistical testing J Nazarovs, Z Huang, S Tasneeyapant, R Chakraborty, V Singh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
| A variational approximation for analyzing the dynamics of panel data J Nazarovs, R Chakraborty, S Tasneeyapant, S Ravi, V Singh Uncertainty in Artificial Intelligence, 107-117, 2021 | 3 | 2021 |
| Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently VS Lokhande, S Ravi, S Tasneeyapant, A Venkatesh, V Singh | | 2019 |
