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
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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.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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MixupE: Understanding and improving Mixup from directional derivative perspective
Zou, Y., Verma, V., Mittal, S., Tang, W. H., Pham, H., Kannala, J., Bengio, Y., Solin, A. & Kawaguchi, K., Aug 2023, Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023). JMLR, p. 2597-2607 (Proceedings of Machine Learning Research ; vol. 216).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open AccessFile55 Downloads (Pure) -
Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy
Lamb, A., Verma, V., Kawaguchi, K., Matyasko, A., Khosla, S., Kannala, J. & Bengio, Y., Oct 2022, In: Neural Networks. 154, p. 218-233 16 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile13 Citations (Scopus)154 Downloads (Pure) -
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 AccessFile287 Citations (Scopus)292 Downloads (Pure) -
PatchUp : A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
Faramarzi, M., Amini, M., Badrinaaraayanan, A., Verma, V. & Chandar, S., 30 Jun 2022, AAAI-22 Technical Tracks 1. AAAI Press, p. 589-597 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access31 Citations (Scopus) -
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 Press, p. 10024-10032 9 p. (AAAI Conference on Artificial Intelligence; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access90 Citations (Scopus)
Projects
- 1 Active
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Verma Vikas AT 31.8.2025: Data Efficient Deep Neural Networks with Application to Drug Design and Discovery
Verma, V. (Principal investigator)
01/09/2022 → 31/08/2025
Project: RCF Postdoctoral Researcher
Activities
- 2 Visiting an external academic institution
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Foreign Organisation
Verma, V. (Visiting researcher)
25 Jun 2016Activity: Visiting an external institution types › Visiting an external academic institution
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Foreign Organisation
Verma, V. (Visiting researcher)
8 Aug 2016 → 9 Aug 2016Activity: Visiting an external institution types › Visiting an external academic institution