Verma, Vikas

16 publications

WACV 2025 Can Out-of-Domain Data Help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection? Amartya Bhattacharya, Debarshi Brahma, Suraj Nagaje, Anmol Asati, Vikas Verma, Soma Biswas

WACV 2025 FRAUD-Net: Fraud News Detection Using Sample Uncertainty & Domain Aware Generalized Network Devendra Patel, Vikas Verma, Shreyas Kumar Tah, Shwetabh Biswas, Soma Biswas

JMLR 2025 Gold-Medalist Performance in Solving Olympiad Geometry with AlphaGeometry2 Yuri Chervonyi, Trieu H. Trinh, Miroslav Olšák, Xiaomeng Yang, Hoang H. Nguyen, Marcelo Menegali, Junehyuk Jung, Junsu Kim, Vikas Verma, Quoc V. Le, Thang Luong

UAI 2023 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

AAAI 2022 PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar

AAAI 2021 GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang

CVPR 2021 Interpolation-Based Semi-Supervised Learning for Object Detection Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak

ICML 2021 Towards Domain-Agnostic Contrastive Learning Vikas Verma, Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc Le

ICLR 2020 InfoGraph: Unsupervised and Semi-Supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang

WACV 2020 SketchTransfer: A New Dataset for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha

ICMLW 2020 Towards an Unsupervised Method for Model Selection in Few-Shot Learning Simon Guiroy, Vikas Verma, Christopher Pal

ICLRW 2019 Adversarial Mixup Resynthesizers Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R Devon Hjelm, Christopher Pal

IJCAI 2019 Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz

ICML 2019 Manifold Mixup: Better Representations by Interpolating Hidden States Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, Yoshua Bengio

NeurIPS 2019 On Adversarial Mixup Resynthesis Christopher Beckham, Sina Honari, Vikas Verma, Alex M Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, Chris Pal

ICLR 2018 Residual Connections Encourage Iterative Inference Stanisław Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio