معرفی
Vikas Verma is a Research Fellow at Aalto University's Department of Computer Science, affiliated with the research group of Professor Juho Kannala. His work intersects machine learning, neural networks, and computer vision, with a focus on robustness, regularization, and semi-supervised learning.
Research Focus: His research explores techniques like Mixup, adversarial training, interpolation consistency, and graph neural networks to improve model robustness and generalization. He has contributed to semi-supervised learning frameworks and transfer learning methods.
Publications: Recent works include advancements in semi-supervised learning (GraphMix, MixupE), adversarial training, and meta-learning. His publications span top AI conferences like UAI, AAAI, and CVPR.
Teams: Collaborates with leading researchers including Yoshua Bengio, Juho Kannala, and Kenji Kawaguchi.
