Vikas Verma

Academy Postdoctoral Researcher
Academy Postdoctoral Researcher
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Puhelinnumero
+358504685953

Tutkimusryhmät

  • Professorship Kannala Juho, Academy Postdoctoral Researcher

Julkaisut

MixupE: Understanding and improving Mixup from directional derivative perspective

Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi 2023 Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023)

PatchUp : A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks

Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar 2022 AAAI-22 Technical Tracks 1

Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy

Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio 2022 Neural Networks

Interpolation consistency training for semi-supervised learning

Vikas Verma, Kenji Kawaguchi, Alex Lamb, Juho Kannala, Arno Solin, Yoshua Bengio, David Lopez-Paz 2022 Neural Networks

Interpolation-based Semi-supervised Learning for Object Detection

Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak 2021 Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021

GraphMix

Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang 2021 THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning

Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Tang Jian 2021

Towards Domain-Agnostic Contrastive Learning

Vikas Verma, Minh-Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le 2021 Proceedings of the 38 th International Conference on Machine Learning

Towards understanding generalization in gradient-based meta-learning

Simon Guiroy, Vikas Verma, Christopher Pal 2020

SketchTransfer

Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha 2020 Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020