Vikas Verma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | WACV | Can Out-of-Domain Data Help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection? | Amartya Bhattacharya, Debarshi Brahma, Suraj Nagaje Mahadev, Anmol Asati, Vikas Verma, Soma Biswas |
| 2025 | WACV | FRAUD-Net: Fraud News Detection Using Sample Uncertainty & Domain Aware Generalized Network. | Devendra Patel, Vikas Verma, Shreyas Kumar Tah, Shwetabh Biswas, Soma Biswas |
| 2023 | UAI | 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 |
| 2022 | AAAI | PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks. | Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar |
| 2021 | AAAI | GraphMix: Improved Training of GNNs for Semi-Supervised Learning. | Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang |
| 2021 | CVPR | Interpolation-Based Semi-Supervised Learning for Object Detection. | Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak |
| 2021 | ICML | Towards Domain-Agnostic Contrastive Learning. | Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le |
| 2020 | ICLR | InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. | Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang |
| 2020 | WACV | SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. | Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha |
| 2019 | CCS | Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. | Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio |
| 2019 | ICLR | Adversarial Mixup Resynthesizers. | Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R. Devon Hjelm, Christopher J. Pal |
| 2019 | ICML | Manifold Mixup: Better Representations by Interpolating Hidden States. | Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, Yoshua Bengio |
| 2019 | IJCAI | Interpolation Consistency Training for Semi-supervised Learning. | Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz |
| 2018 | ICLR | Residual Connections Encourage Iterative Inference. | Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio |
| 2004 | WISE | QoS Based Pricing for Web Services. | George Eby Mathew, Joseph Shields, Vikas Verma |