Vikas Verma
Academy Postdoctoral Researcher
Academy Postdoctoral Researcher
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Email
[email protected]
Phone number
+358504685953
Publications
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