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Hossein Mobahi | Samy Bengio | Gintare Karolina Dziugaite | Daniel M. Roy | Suriya Gunasekar | Yiding Jiang | University of Toronto | Isabelle Guyon | Scott Yak | Pierre Foret | University Paris-Saclay | Microsoft Research | Behnam Neyshabur Google Research | AI Element | ChaLearn | Samy Bengio | Suriya Gunasekar | G. Dziugaite | H. Mobahi | U. Toronto | Yiding Jiang | M. Research | University Paris-Saclay | Pierre Foret | Isabelle M Guyon | Scott Yak | AI Element
[1] Gintare Karolina Dziugaite,et al. Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates , 2019, NeurIPS.
[2] Gintare Karolina Dziugaite,et al. Revisiting generalization for deep learning: PAC-Bayes, flat minima, and generative models , 2019 .
[3] Michael Carbin,et al. The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks , 2018, ICLR.
[4] Nathan Srebro,et al. Implicit Bias of Gradient Descent on Linear Convolutional Networks , 2018, NeurIPS.
[5] Nathan Srebro,et al. Exploring Generalization in Deep Learning , 2017, NIPS.
[6] C. V. Jawahar,et al. Cats and dogs , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Daniel M. Roy,et al. Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes , 2019, NeurIPS.
[8] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .
[9] Hossein Mobahi,et al. Self-Distillation Amplifies Regularization in Hilbert Space , 2020, NeurIPS.
[10] Song Han,et al. Learning both Weights and Connections for Efficient Neural Network , 2015, NIPS.
[11] Yi Zhang,et al. Stronger generalization bounds for deep nets via a compression approach , 2018, ICML.
[12] Ryota Tomioka,et al. Norm-Based Capacity Control in Neural Networks , 2015, COLT.
[13] Hossein Mobahi,et al. Predicting the Generalization Gap in Deep Networks with Margin Distributions , 2018, ICLR.
[14] Michael Carbin,et al. The Lottery Ticket Hypothesis: Training Pruned Neural Networks , 2018, ArXiv.
[15] Xingyou Song,et al. Observational Overfitting in Reinforcement Learning , 2019, ICLR.
[16] Gintare Karolina Dziugaite,et al. Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data , 2017, UAI.
[17] Behnam Neyshabur,et al. Implicit Regularization in Deep Learning , 2017, ArXiv.
[18] Andrew Zisserman,et al. Automated Flower Classification over a Large Number of Classes , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.
[19] Yann LeCun,et al. Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks , 2018, ArXiv.
[20] Gintare Karolina Dziugaite,et al. Entropy-SGD optimizes the prior of a PAC-Bayes bound: Data-dependent PAC-Bayes priors via differential privacy , 2017, NeurIPS.
[21] Behnam Neyshabur,et al. The intriguing role of module criticality in the generalization of deep networks , 2020, ICLR.
[22] David A. McAllester,et al. A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks , 2017, ICLR.
[23] Nathan Srebro,et al. Implicit Regularization in Matrix Factorization , 2017, 2018 Information Theory and Applications Workshop (ITA).
[24] Hossein Mobahi,et al. Large Margin Deep Networks for Classification , 2018, NeurIPS.
[25] Mingjie Sun,et al. Rethinking the Value of Network Pruning , 2018, ICLR.
[26] Amos J. Storkey,et al. School of Informatics, University of Edinburgh , 2022 .
[27] Nathan Srebro,et al. The Implicit Bias of Gradient Descent on Separable Data , 2017, J. Mach. Learn. Res..
[28] Roland Vollgraf,et al. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms , 2017, ArXiv.
[29] Hossein Mobahi,et al. Fantastic Generalization Measures and Where to Find Them , 2019, ICLR.
[30] Ruslan Salakhutdinov,et al. Geometry of Optimization and Implicit Regularization in Deep Learning , 2017, ArXiv.
[31] Ryota Tomioka,et al. In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning , 2014, ICLR.
[32] Qiang Chen,et al. Network In Network , 2013, ICLR.
[33] Hanna Mazzawi,et al. Towards Task and Architecture-Independent Generalization Gap Predictors , 2019, ArXiv.
[34] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[35] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[36] Nathan Srebro,et al. Characterizing Implicit Bias in Terms of Optimization Geometry , 2018, ICML.