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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

* Accepted WACV 2020 

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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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Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy


Jun 16, 2019
Alex Lamb, Vikas Verma, Juho Kannala, Yoshua Bengio


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Adversarial Mixup Resynthesizers


Apr 04, 2019
Christopher Beckham, Sina Honari, Alex Lamb, Vikas Verma, Farnoosh Ghadiri, R Devon Hjelm, Christopher Pal


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Interpolation Consistency Training for Semi-Supervised Learning


Mar 09, 2019
Vikas Verma, Alex Lamb, Juho Kannala, Yoshua Bengio, David Lopez-Paz

* Semi-supervised Learning, Deep Learning, Neural Networks 

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Manifold Mixup: Learning Better Representations by Interpolating Hidden States


Oct 04, 2018
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Aaron Courville, Ioannis Mitliagkas, Yoshua Bengio

* ICLR2019 Under Review 

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Towards Understanding Generalization via Analytical Learning Theory


Oct 01, 2018
Kenji Kawaguchi, Yoshua Bengio, Vikas Verma, Leslie Pack Kaelbling


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Modularity Matters: Learning Invariant Relational Reasoning Tasks


Jun 18, 2018
Jason Jo, Vikas Verma, Yoshua Bengio

* Modified abstract to fit arXiv character limit 

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Residual Connections Encourage Iterative Inference


Mar 08, 2018
Stanisław Jastrzębski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio

* First two authors contributed equally. Published in ICLR 2018 

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Deep Semi-Random Features for Nonlinear Function Approximation


Nov 21, 2017
Kenji Kawaguchi, Bo Xie, Vikas Verma, Le Song

* AAAI 2018 - Extended version 

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Image Retrieval And Classification Using Local Feature Vectors


Sep 02, 2014
Vikas Verma


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