Neural collapse: A review on modelling principles and generalization V Kothapalli Transactions on Machine Learning Research (TMLR), 2023 | 56 | 2023 |
Abnormal event detection on BMTT-PETS 2017 surveillance challenge K Vignesh, G Yadav, A Sethi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 27 | 2017 |
Binary Document Image Super Resolution for Improved Readability and OCR Performance Ram Krishna Pandey, K Vignesh, AG Ramakrishnan, B Chandrahasa arXiv preprint arXiv:1812.02475, 2018 | 25 | 2018 |
Edge detection using fractional derivatives and information sets V Kothapalli, S Arora, M Hanmandlu Journal of Electronic Imaging 27 (5), 051226-051226, 2018 | 14 | 2018 |
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks V Kothapalli, T Tirer, J Bruna Advances in Neural Information Processing Systems (NeurIPS), 2023 | 7 | 2023 |
Randomized Schur Complement Views for Graph Contrastive Learning V Kothapalli International Conference on Machine Learning (ICML), 2023 | 4 | 2023 |
Robust recognition of tone specified mizo digits using CNN-LSTM and nonlinear spectral resolution V Kothapalli, BD Sarma, A Dey, P Gogoi, W Lalhminghlui, P Sarmah, ... 2018 15th IEEE India Council International Conference (INDICON), 1-5, 2018 | 2 | 2018 |
Crafting Heavy-Tails in Weight Matrix Spectrum without Gradient Noise V Kothapalli, T Pang, S Deng, Z Liu, Y Yang arXiv preprint arXiv:2406.04657, 2024 | | 2024 |
Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse V Kothapalli, T Tirer arXiv preprint arXiv:2406.02105, 2024 | | 2024 |