Ian J. Goodfellow
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
7
Active years
2010–2019
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2019 | ICLR | Discriminator Rejection Sampling. | Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian J. Goodfellow, Augustus Odena |
| 2019 | ICLR | Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer. | David Berthelot, Colin Raffel, Aurko Roy, Ian J. Goodfellow |
| 2019 | ICLR | Adversarial Reprogramming of Neural Networks. | Gamaleldin F. Elsayed, Ian J. Goodfellow, Jascha Sohl-Dickstein |
| 2019 | ICML | TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing. | Augustus Odena, Catherine Olsson, David G. Andersen, Ian J. Goodfellow |
| 2019 | ICML | Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition. | Yao Qin, Nicholas Carlini, Garrison W. Cottrell, Ian J. Goodfellow, Colin Raffel |
| 2019 | ICML | Self-Attention Generative Adversarial Networks. | Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, Augustus Odena |
| 2018 | ICLR | Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values. | Julius Adebayo, Justin Gilmer, Ian J. Goodfellow, Been Kim |
| 2018 | ICLR | Thermometer Encoding: One Hot Way To Resist Adversarial Examples. | Jacob Buckman, Aurko Roy, Colin Raffel, Ian J. Goodfellow |
| 2018 | ICLR | MaskGAN: Better Text Generation via Filling in the _______. | William Fedus, Ian J. Goodfellow, Andrew M. Dai |
| 2018 | ICLR | Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step. | William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian J. Goodfellow |
| 2018 | ICLR | Adversarial Spheres. | Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian J. Goodfellow |
| 2018 | ICLR | Realistic Evaluation of Semi-Supervised Learning Algorithms. | Avital Oliver, Augustus Odena, Colin Raffel, Ekin D. Cubuk, Ian J. Goodfellow |
| 2018 | ICLR | Ensemble Adversarial Training: Attacks and Defenses. | Florian Tramr, Alexey Kurakin, Nicolas Papernot, Ian J. Goodfellow, Dan Boneh, Patrick D. McDaniel |
| 2018 | ICML | Is Generator Conditioning Causally Related to GAN Performance? | Augustus Odena, Jacob Buckman, Catherine Olsson, Tom B. Brown, Christopher Olah, Colin Raffel, Ian J. Goodfellow |
| 2017 | CCS | Practical Black-Box Attacks against Machine Learning. | Nicolas Papernot, Patrick D. McDaniel, Ian J. Goodfellow, Somesh Jha, Z. Berkay Celik, Ananthram Swami |
| 2017 | ICLR | Adversarial Attacks on Neural Network Policies. | Sandy H. Huang, Nicolas Papernot, Ian J. Goodfellow, Yan Duan, Pieter Abbeel |
| 2017 | ICLR | Adversarial Machine Learning at Scale. | Alexey Kurakin, Ian J. Goodfellow, Samy Bengio |
| 2017 | ICLR | Adversarial examples in the physical world. | Alexey Kurakin, Ian J. Goodfellow, Samy Bengio |
| 2017 | ICLR | Adversarial Training Methods for Semi-Supervised Text Classification. | Takeru Miyato, Andrew M. Dai, Ian J. Goodfellow |
| 2017 | ICLR | Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data. | Nicolas Papernot, Martn Abadi, lfar Erlingsson, Ian J. Goodfellow, Kunal Talwar |
| 2016 | CCS | Deep Learning with Differential Privacy. | Martn Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang |
| 2016 | CVPR | Improving the Robustness of Deep Neural Networks via Stability Training. | Stephan Zheng, Yang Song, Thomas Leung, Ian J. Goodfellow |
| 2014 | AAAI | On the Challenges of Physical Implementations of RBMs. | Vincent Dumoulin, Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio |
| 2013 | ICML | Maxout Networks. | Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron C. Courville, Yoshua Bengio |
| 2013 | ICONIP | Challenges in Representation Learning: A Report on Three Machine Learning Contests. | Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio |
| 2012 | ICML | Large-Scale Feature Learning With Spike-and-Slab Sparse Coding. | Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio |
| 2010 | HRI | Help me help you: interfaces for personal robots. | Ian J. Goodfellow, Nate Koenig, Marius Muja, Caroline Pantofaru, Alexander Sorokin, Leila Takayama |