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Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy.

A. Lamb, V. Verma, J. Kannala, и Y. Bengio. CoRR, (2019)

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Ludwig Lamb

Fritz Lamb

Hagen Lamb

Jochen Lamb

Irene Lamb

Другие публикации лиц с тем же именем

Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models.A. Lamb, R. Islam, Y. Efroni, A. Didolkar, D. Misra, D. Foster, L. Molu, R. Chari, A. Krishnamurthy, и J. Langford. Trans. Mach. Learn. Res., (2023)Theano: A Python framework for fast computation of mathematical expressionsT. Team, R. Al-Rfou, G. Alain, A. Almahairi, C. Angermueller, D. Bahdanau, N. Ballas, F. Bastien, J. Bayer, A. Belikov и 103 other автор(ы). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations.A. Lamb, J. Binas, A. Goyal, S. Subramanian, I. Mitliagkas, D. Kazakov, Y. Bengio, и M. Mozer. CoRR, (2019)GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning.V. Verma, M. Qu, A. Lamb, Y. Bengio, J. Kannala, и J. Tang. CoRR, (2019)CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback.A. Jolicoeur-Martineau, A. Lamb, V. Verma, и A. Didolkar. CoRR, (2022)PcLast: Discovering Plannable Continuous Latent States.A. Koul, S. Sujit, S. Chen, B. Evans, L. Wu, B. Xu, R. Chari, R. Islam, R. Seraj, Y. Efroni и 4 other автор(ы). CoRR, (2023)Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning.R. Islam, H. Zang, A. Goyal, A. Lamb, K. Kawaguchi, X. Li, R. Laroche, Y. Bengio, и R. des Combes. CoRR, (2022)Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments.A. Goyal, A. Lamb, P. Gampa, P. Beaudoin, C. Blundell, S. Levine, Y. Bengio, и M. Mozer. ICLR, OpenReview.net, (2021)Manifold Mixup: Better Representations by Interpolating Hidden States.V. Verma, A. Lamb, C. Beckham, A. Najafi, I. Mitliagkas, D. Lopez-Paz, и Y. Bengio. ICML, том 97 из Proceedings of Machine Learning Research, стр. 6438-6447. PMLR, (2019)SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks.A. Lamb, S. Ozair, V. Verma, и D. Ha. WACV, стр. 952-961. IEEE, (2020)

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Please choose a person to relate this publication to

Ludwig Lamb

Fritz Lamb

Hagen Lamb

Jochen Lamb

Irene Lamb

Другие публикации лиц с тем же именем

Disambiguation