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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

* 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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