A Generalization Theory based on Independent and Task-Identically
Distributed Assumption

A Generalization Theory based on Independent and Task-Identically Distributed Assumption

28 November 2019

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Papers citing "A Generalization Theory based on Independent and Task-Identically Distributed Assumption"

19 / 19 papers shown

Title
Generalization Error Bounds for Learning under Censored Feedback Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili 49 0 0 14 Apr 2024
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 131 1,772 0 24 May 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,764 0 25 Oct 2017
Causally Regularized Learning with Agnostic Data Selection Bias Zheyan Shen Peng Cui Kun Kuang Yangqiu Song Peixuan Chen OOD 51 93 0 22 Aug 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 90 3,637 0 16 Aug 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 125 1,818 0 16 Jun 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 100 1,410 0 02 Mar 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 339 4,629 0 10 Nov 2016
A New Distance Measure for Non-Identical Data with Application to Image Classification M. Swaminathan P. K. Yadav O. Piloto T. Sjöblom I. Cheong 9 13 0 31 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 772 36,813 0 25 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Train faster, generalize better: Stability of stochastic gradient descent Moritz Hardt Benjamin Recht Y. Singer 116 1,241 0 03 Sep 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 207 1,584 0 09 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,882 0 12 Nov 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 264 12,439 0 24 Jun 2012
New Analysis and Algorithm for Learning with Drifting Distributions M. Mohri Andrés Munoz Medina 133 125 0 19 May 2012
Robustness and Generalization Huan Xu Shie Mannor OOD 191 461 0 13 May 2010
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary $β$ -Mixing Processes L. Ralaivola Marie Szafranski G. Stempfel 124 81 0 10 Sep 2009