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Vikas Verma

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Leveraging Out-of-Domain Data for Domain-Specific Prompt Tuning in Multi-Modal Fake News Detection

Nov 27, 2023
Debarshi Brahma, Amartya Bhattacharya, Suraj Nagaje Mahadev, Anmol Asati, Vikas Verma, Soma Biswas

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MixupE: Understanding and Improving Mixup from Directional Derivative Perspective

Dec 29, 2022
Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi

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CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback

Oct 18, 2022
Alexia Jolicoeur-Martineau, Alex Lamb, Vikas Verma, Aniket Didolkar

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Towards Domain-Agnostic Contrastive Learning

Nov 09, 2020
Vikas Verma, Minh-Thang Luong, Kenji Kawaguchi, Hieu Pham, Quoc V. Le

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PatchUp: A Regularization Technique for Convolutional Neural Networks

Jun 14, 2020
Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar

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Interpolation-based semi-supervised learning for object detection

Jun 03, 2020
Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak

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SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks

Dec 25, 2019
Alex Lamb, Sherjil Ozair, Vikas Verma, David Ha

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GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning

Sep 25, 2019
Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang

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Towards Understanding Generalization in Gradient-Based Meta-Learning

Jul 16, 2019
Simon Guiroy, Vikas Verma, Christopher Pal

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Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Too Much Accuracy

Jun 29, 2019
Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio

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