Joshua A. Kulas

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #23,691 of 35,345 by trust here, #9,870 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 8 citations into it
• Natural Language Processing — 6 citations into it

Whom Joshua A. Kulas trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Matthew D. Zeiler
4. Dzmitry Bahdanau
5. Quoc V. Le
6. Kyunghyun Cho
7. Alex Graves
8. Sepp Hochreiter
9. Alex Krizhevsky
10. J. Urgen Schmidhuber

Who trusts Joshua A. Kulas overall

1. Bryan Lim

Papers from Joshua A. Kulas's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Et al
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism (2016) — 1,544 citations