Damien Jose

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Management Science and Operations Research — 14 citations into it
• Reinforcement Learning — 10 citations into it

Whom Damien Jose trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Oriol Vinyals
6. Ilya Sutskever
7. Kaiming He
8. Jimmy Ba
9. Yann LeCun
10. J. Langford

Papers from Damien Jose's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Few-Shot Named Entity Recognition: A Comprehensive Study (2020) — 83 citations
• Off-policy evaluation for slate recommendation (2016) — 255 citations