Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Master's degree, Engineering and Technology, Indian Institute of Technology Madras
Award Date: 22 Jul 2011
Fingerprint
Dive into the research topics where Vikas Verma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Interpolation consistency training for semi-supervised learning
Verma, V., Kawaguchi, K., Lamb, A., Kannala, J., Solin, A., Bengio, Y. & Lopez-Paz, D., 2022, In: Neural Networks. 145, p. 90-106Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)56 Downloads (Pure) -
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Verma, V., Qu, M., Kawaguchi, K., Lamb, A., Bengio, Y., Kannala, J. & Tang, J., 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. AAAI, p. 10024-10032 9 p. (AAAI Conference on Artificial Intelligence; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access2 Citations (Scopus) -
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning
Verma, V., Qu, M., Lamb, A., Bengio, Y., Kannala, J. & Jian, T., 2021, AAAI.Research output: Working paper › Scientific
-
Interpolation-based Semi-supervised Learning for Object Detection
Jeong, J., Verma, V., Hyun, M., Kannala, J. & Kwak, N., 13 Nov 2021, Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE, p. 11597-11606 10 p. 9578767Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access3 Citations (Scopus) -
Towards Domain-Agnostic Contrastive Learning
Verma, V., Luong, M-T., Kawaguchi, K., Pham, H. & Le, Q. V., 2021, Proceedings of the 38 th International Conference on Machine Learning. 12 p. (Proceedings of Machine Learning Research; vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile7 Downloads (Pure)
-
FCAI: Finnish Center for Artificial Intelligence (FCAI)
Kannala, J., Verma, V., Pilzer, A. & Seniushkin, D.
01/01/2020 → 31/12/2022
Project: Academy of Finland: Other research funding
-
Advances in Deep Learning with Applications to Large-Scale Multimedia Data
Raiko, T., Heljakka, A., Rezazadegan Tavakoli, H. & Verma, V.
01/09/2017 → 31/08/2019
Project: Academy of Finland: Other research funding
-
Compact and efficient deep neural networks for ubiquitous computer vision
Kannala, J., Laskar, Z., Tigunova, A., Wang, S., Verma, V., Shershebnev, A., Ylioinas, J. & Zhao, Y.
01/09/2017 → 31/08/2021
Project: Academy of Finland: Other research funding
Activities
- 2 Visit abroad
-
Foreign Organisation
Vikas Verma (Visiting researcher)
8 Aug 2016 → 9 Aug 2016Activity: Visiting an external institution types › Visit abroad
-
Foreign Organisation
Vikas Verma (Visiting researcher)
25 Jun 2016Activity: Visiting an external institution types › Visit abroad