1
Deformable Convolutional Networks
Source ↗Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei
Mar 22, 2017·9895 checkouts·arxiv.org
Best Awesome List: Deep Learning Foundation Papers
The highest-signal papers on Awesome List: Deep Learning Foundation, ranked by community reviews and momentum.
Canonical intent: topic=al-deep-learning-foundation|type=paper|year=evergreen
Top Picks
2
Understanding Neural Networks Through Deep Visualization
Source ↗Jason Yosinski, Jeff Clune, Anh Nguyen, Thomas Fuchs, Hod Lipson
Jun 22, 2015·9801 checkouts·arxiv.org
3
4
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Source ↗Sergey Ioffe
Mar 30, 2017·9737 checkouts·arxiv.org
5
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning
Source ↗Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
Feb 22, 2016·9718 checkouts·arxiv.org
6
Convolutional Neural Networks for Sentence Classification
Source ↗Yoon Kim
Sep 3, 2014·9707 checkouts·arxiv.org
7
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
Source ↗Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher
Mar 5, 2016·9622 checkouts·arxiv.org
8
Reading Text in the Wild with Convolutional Neural Networks
Source ↗Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Dec 4, 2014·9601 checkouts·arxiv.org
9
10
Playing Atari with Deep Reinforcement Learning
Source ↗Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller
Dec 19, 2013·9587 checkouts·arxiv.org
11
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Source ↗Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer
Nov 4, 2016·9585 checkouts·arxiv.org
12
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Source ↗Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
Mar 16, 2016·9579 checkouts·arxiv.org
13
Caffe: Convolutional Architecture for Fast Feature Embedding
Source ↗Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell
Jun 20, 2014·9532 checkouts·arxiv.org
14
Distilling the Knowledge in a Neural Network
Source ↗Geoffrey Hinton, Oriol Vinyals, Jeff Dean
Mar 9, 2015·9495 checkouts·arxiv.org
15
Learning to Compose Neural Networks for Question Answering
Source ↗Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein
Jun 7, 2016·9467 checkouts·arxiv.org
16
17
End-to-End Attention-based Large Vocabulary Speech Recognition
Source ↗Dzmitry Bahdanau, Jan Chorowski, Dmitriy Serdyuk, Philemon Brakel, Yoshua Bengio
Mar 14, 2016·9357 checkouts·arxiv.org
18
Representation Learning: A Review and New Perspectives
Source ↗Yoshua Bengio, Aaron Courville, Pascal Vincent
Apr 23, 2014·9335 checkouts·arxiv.org
19
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Source ↗Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, Yoshua Bengio
Apr 19, 2016·9296 checkouts·arxiv.org
20
Least Squares Generative Adversarial Networks
Source ↗Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang
Feb 24, 2017·9292 checkouts·arxiv.org
21
Learning Deconvolution Network for Semantic Segmentation
Source ↗Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
May 17, 2015·9287 checkouts·arxiv.org
22
Convolutional Sequence to Sequence Learning
Source ↗Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin
Jul 25, 2017·9257 checkouts·arxiv.org
23
Deep Voice: Real-time Neural Text-to-Speech
Source ↗Sercan O. Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi
Mar 7, 2017·9257 checkouts·arxiv.org
24
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Source ↗Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M. Rush, Bart van Merriënboer, Armand Joulin, Tomas Mikolov
Dec 31, 2015·9254 checkouts·arxiv.org
25
MatConvNet - Convolutional Neural Networks for MATLAB
Source ↗Andrea Vedaldi, Karel Lenc
May 5, 2016·9201 checkouts·arxiv.org
26
27
Intriguing properties of neural networks
Source ↗Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus
Feb 19, 2014·9169 checkouts·arxiv.org
28
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Source ↗Danqi Chen, Jason Bolton, Christopher D. Manning
Aug 8, 2016·9102 checkouts·arxiv.org
29
Recurrent Models of Visual Attention
Source ↗Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu
Jun 24, 2014·9074 checkouts·arxiv.org
30
A Knowledge-Grounded Neural Conversation Model
Source ↗Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley
Nov 15, 2018·9000 checkouts·arxiv.org
FAQ
How is this “best Awesome List: Deep Learning Foundation Papers” collection ranked?
This page ranks Awesome List: Deep Learning Foundation Papers using topic relevance, checkout momentum, source diversity, and freshness signals. Rankings are recalculated as new items and engagement arrive, so readers see resources that are both high quality and currently useful for implementation, research, and practical decision making. Canonical intent key: topic=al-deep-learning-foundation|type=paper|year=evergreen.
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