Josh Harguess

Artificial Intelligence · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #9,934 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Josh Harguess trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kenneth O. Stanley
2. Geoffrey E. Hinton
3. Ruslan Salakhutdinov
4. Risto Miikkulainen
5. Yann LeCun
6. Yoshua Bengio
7. Alex Krizhevsky
8. L. Eon Bottou
9. Jason Gauci
10. Radford M. Neal

Who trusts Josh Harguess overall

1. Bowen Baker
2. Masanori Suganuma
3. Otkrist Gupta
4. Tal Ben-Nun
5. Shinichi Shirakawa
6. Ramesh Raskar
7. Nikhil Naik
8. Chrisantha Fernando
9. Tomoharu Nagao
10. Torsten Hoefler

Papers from Josh Harguess's perspective

Ordered by how strongly the researchers Josh Harguess trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Generative NeuroEvolution for Deep Learning (2013) — 54 citations
• Image Classification Using Generative Neuro Evolution for Deep Learning (2015) — 48 citations