Improving Robustness and Generality of NLP Models Using Disentangled Representations

21 September 2020

Jiwei Li

Papers citing "Improving Robustness and Generality of NLP Models Using Disentangled Representations"

26 / 76 papers shown

Title
Adversarial Training Methods for Semi-Supervised Text Classification Takeru Miyato Andrew M. Dai Ian Goodfellow GAN 70 1,059 0 25 May 2016
Crafting Adversarial Input Sequences for Recurrent Neural Networks Nicolas Papernot Patrick McDaniel A. Swami Richard E. Harang AAML GAN SILM 40 456 0 28 Apr 2016
How Transferable are Neural Networks in NLP Applications? Lili Mou Zhao Meng Rui Yan Ge Li Yan Xu Lu Zhang Zhi Jin 38 300 0 19 Mar 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 66 3,676 0 08 Feb 2016
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 88 3,955 0 24 Nov 2015
Improving Neural Machine Translation Models with Monolingual Data Rico Sennrich Barry Haddow Alexandra Birch 241 2,716 0 20 Nov 2015
Return of Frustratingly Easy Domain Adaptation Baochen Sun Jiashi Feng Kate Saenko OOD 79 1,838 0 17 Nov 2015
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 195 7,729 0 31 Aug 2015
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 292 4,280 0 21 Aug 2015
Visualizing and Understanding Neural Models in NLP Jiwei Li Xinlei Chen Eduard H. Hovy Dan Jurafsky MILM FAtt 75 707 0 02 Jun 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 173 1,580 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 241 19,017 0 20 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 155 3,270 0 05 Dec 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 206 8,321 0 06 Nov 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 248 10,394 0 06 Nov 2014
Maximally Informative Hierarchical Representations of High-Dimensional Data Greg Ver Steeg Aram Galstyan TPM 68 65 0 27 Oct 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 385 20,528 0 10 Sep 2014
A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom 98 3,556 0 08 Apr 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 247 14,893 1 21 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 424 16,944 0 20 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 295 7,279 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 530 15,861 0 12 Nov 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 237 12,422 0 24 Jun 2012
Domain Adaptation for Statistical Classifiers Hal Daumé D. Marcu OOD 88 911 0 28 Sep 2011
Frustratingly Easy Domain Adaptation Hal Daumé 117 1,799 0 10 Jul 2009