Fetching the paper…
Reading the bibliography…
Deep learning techniques have made tremendous progress in a variety of challenging tasks, such as image recognition and machine translation, during the past decade.
A stochastic approximation method
Robbins Herbert and Sutton Monro. 1951 · 1951
Earlier work this paper cites.
The MNIST database of handwritten digits
Corinna Cortes, Yann LeCun, and Christopher JC Burges. 1998 · 1998
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Yann Lecun, Leon Bottou, Yoshua Bengio, and Patrick Haffner. 1998 · 1998
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang. 2004 · 2004
Earlier work this paper cites.
Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton. 2009 · 2009
Earlier work this paper cites.
Natural Language Processing (Almost) from Scratch
Ronan Collobert, Jason Weston, Leon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel P Kuksa. 2011 · 2011
Earlier work this paper cites.
Distributed Representations of Words and Phrases and their Compositionally. In Proceedings of the 2013 Annual Conference on Neural Information Processing Systems (NIPS) . NIPS, 3111–3119
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman. 2014 · 2014
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation. In Proceedings of the 2015 International Conference on Medical image computing and computer-assisted intervention (MICCAI) . Springer, 234–241
Thomas Brox Olaf Ronneberger, Philipp Fischer. 2015 · 2015
Earlier work this paper cites.
Going deeper with convolutions. In Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE, 1–9
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, ScottE Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. 2015 · 2015
Cited alongside, same era.
Jialong Zhang, Zhongshu Gu, Jiyong Jang, Hui Wu, Marc Ph. Stoecklin, Heqing Huang, and Ian Molloy. 2018 · 2015
Cited alongside, same era.
Deep Learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016 · 2016
Cited alongside, same era.
Deep Residual Learning for Image Recognition. In Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE, 770–778
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016a · 2016
Cited alongside, same era.
Automatic differentiation in PyTorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017
Later among the works it cites.
Embedding watermarks into deep neural networks. In Proceedings of the 2017 International Conference on Multimedia Retrieval (ICMR) . ACM, 269–277
Yusuke Uchida, Yuki Nagai, Shigeyuki Sakazawa, and Shin’ichi Satoh. 2017 · 2017
Later among the works it cites.
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring. In Proceedings of the 2018 USENIX Security Symposium (USENIX Security) . USENIX
Yossi Adi, Carsten Baum, Moustapha Cisse, Benny Pinkas, and Joseph Keshet. 2018 · 2018
Later among the works it cites.
EPO guidelines on patentability of artificial intelligence and machine learning
AI patent 2018 · 2018
Later among the works it cites.
Artificial intelligence and machine learning
EPO guidelines 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016b · 2016
Cited alongside, same era.
Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu, Mike Schuster, and Zhifeng Chen et al. 2016 · 2016
Cited alongside, same era.
Achieving Human Parity in Conversational Speech Recognition
Wayne Xiong, Jasha Droppo, Xuedong Huang, Frank Seide, Michael L Seltzer, Andreas Stolcke, Dong Yu, , and Geoffrey Zweig. 2016 · 2016
Cited alongside, same era.
Dual Path Networks. In Proceedings of the 2017 Annual Conference on Neural Information Processing Systems (NIPS) . NIPS, 4467–4475
Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, and Jiashi Feng. 2017 · 2017
Cited alongside, same era.
Pruning Filters and Classes:Towards On-Device Customization of Convolutional Neural Networks. In Proceedings of the 2017 1st International Workshop on Deep Learning for Mobile Systems and Applications (DLMSA) . ACM, 13–17
Jia Guo and Miodrag Potkonjak. 2017 · 2017
Cited alongside, same era.
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017 · 2017
Cited alongside, same era.
Watermarking deep neural networks for embedded systems. In Proceedings of the 2018 International Conference On Computer Aided Design (ICCAD) . IEEE, 1–8
Jia Guo and Miodrag Potkonjak. 2018 · 2018
Later among the works it cites.
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques
Dorjan Hitaj and Luigi V Mancini. 2018 · 2018
Later among the works it cites.
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models
Bita Darvish Rouhani, Huili Chen, and Farinaz Koushanfar. 2018 · 2018
Later among the works it cites.
Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, and Michael Backes. 2018 · 2018
Later among the works it cites.
Robust Watermarking of Neural Network with Exponential Weighting
Ryota Namba and Jun Sakuma. 2019 · 2019
Closest in time.