Joemon M. Jose

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 56 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it; #29,798 of 35,345 by trust here, #15,866 by citations
• Computer Vision and Pattern Recognition — 39 citations into it; #8,875 of 21,575 by trust here, #7,852 by citations
• Information Systems — 30 citations into it; #2,535 of 8,771 by trust here, #1,672 by citations
• Management Science and Operations Research — 14 citations into it
• Model Architectures — 14 citations into it
• Recommender Systems — 12 citations into it
• Optimization & Training — 11 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Joemon M. Jose trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Aäron van den Oord
4. Diederik P. Kingma
5. Yoshua Bengio
6. Jimmy Ba
7. Alex Krizhevsky
8. Yann LeCun
9. Vinod Nair
10. Ilya Sutskever

Who trusts Joemon M. Jose overall

1. Mao Ye
2. Fajie Yuan
3. Yue Shi

Papers from Joemon M. Jose's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• One Person, One Model, One World: Learning Continual User Representation without Forgetting (2020) — 83 citations
• A Simple Convolutional Generative Network for Next Item Recommendation (2018) — 670 citations
• On social networks and collaborative recommendation (2009) — 682 citations