Jose L. Part

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 113 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 76 citations into it
• Computer Vision and Pattern Recognition — 51 citations into it
• Cellular and Molecular Neuroscience — 27 citations into it
• Model Architectures — 25 citations into it
• Meta & Continual Learning — 22 citations into it
• Representation & Self-Supervised Learning — 20 citations into it; #910 of 3,145 by trust here, #253 by citations
• Developmental Neuroscience — 12 citations into it
• Aerospace Engineering — 5 citations into it

Whom Jose L. Part trusts overall

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

1. Teuvo Kohonen
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. Yann LeCun
7. Kaiming He
8. Yangqing Jia
9. Karen Simonyan
10. Diederik P. Kingma

Who trusts Jose L. Part overall

1. Fei Ye
2. Bing Liu
3. Eden Belouadah
4. Vincenzo Lomonaco
5. Zixuan Ke
6. Adrian G. Bors
7. Martin Mundt
8. German Ignacio Parisi
9. Thomas Scialom
10. Mohammad Rostami

Papers from Jose L. Part's perspective

Ordered by how strongly the researchers Jose L. Part 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Continual Lifelong Learning with Neural Networks: A Review (2018) — 3,616 citations
• Incremental online learning of objects for robots operating in real environments (2017) — 21 citations
• Alana: Social Dialogue using an Ensemble Model and a Ranker trained on User Feedback (2017) — 45 citations