Fetching the paper…
Reading the bibliography…
Steering a car through traffic is a complex task that is difficult to cast into algorithms.
Learning representations by back-propagating errors
David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams · 1988
Earlier work this paper cites.
Backpropagation applied to handwritten zip code recognition
Yann LeCun, Bernhard Boser, John S Denker, Donnie Henderson, Richard E Howard, Wayne Hubbard, and Lawrence D Jackel · 1989
Earlier work this paper cites.
Alvinn, an autonomous land vehicle in a neural network
Dean A Pomerleau · 1989
Earlier work this paper cites.
A learning algorithm for continually running fully recurrent neural networks
Ronald J Williams and David Zipser · 1989
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
A recurrent neural network that learns to count
Paul Rodriguez, Janet Wiles, and Jeffrey L Elman · 1999
Earlier work this paper cites.
System and method for pose-angle estimation, October 25 2005
Mohamed Nabil Moustafa · 2005
Earlier work this paper cites.
Tire and vehicle dynamics
Hans Pacejka · 2005
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Deep learning of representations for unsupervised and transfer learning
Yoshua Bengio et al · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Cited alongside, same era.
Autonomous vehicles have a wide range of possible energy impacts
Austin Brown, Brittany Repac, and Jeff Gonder · 2013
Cited alongside, same era.
Decaf: A deep convolutional activation feature for generic visual recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
Cited alongside, same era.
Global status report on alcohol and health 2014
End to end learning for self-driving cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, et al · 2016
Later among the works it cites.
Reactive collision avoidance using evolutionary neural networks
Hesham Eraqi, Youssef EmadEldin, and Mohamed Moustafa · 2016
Later among the works it cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Later among the works it cites.
Learning a transferable change rule from a recurrent neural network for land cover change detection
Haobo Lyu, Hui Lu, and Lichao Mou · 2016
Later among the works it cites.
Eder Santana and George Hotz · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
World Health Organization · 2014
Cited alongside, same era.
Dex: Deep expectation of apparent age from a single image
Rasmus Rothe, Radu Timofte, and Luc Van Gool · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Cited alongside, same era.
Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Cited alongside, same era.
Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
Later among the works it cites.
End-to-end learning of driving models from large-scale video datasets
Huazhe Xu, Yang Gao, Fisher Yu, and Trevor Darrell · 2016
Later among the works it cites.
Explaining how a deep neural network trained with end-to-end learning steers a car
Mariusz Bojarski, Philip Yeres, Anna Choromanska, Krzysztof Choromanski, Bernhard Firner, Lawrence Jackel, and Urs Muller · 2017
Closest in time.
Computer vision for autonomous vehicles: Problems, datasets and state-of-the-art
Joel Janai, Fatma Güney, Aseem Behl, and Andreas Geiger · 2017
Closest in time.