Oladimeji Farri

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Natural Language Processing — 52 citations into it
• Computer Vision and Pattern Recognition — 35 citations into it
• Model Architectures — 18 citations into it
• Medical & Health AI — 14 citations into it
• Reinforcement Learning — 13 citations into it
• Molecular Biology — 10 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Oladimeji Farri trusts overall

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

1. Diederik P. Kingma
2. Richard S. Sutton
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Edward Choi
6. Richard Bellman
7. Ilya Sutskever
8. Kaiming He

Papers from Oladimeji Farri's perspective

Ordered by how strongly the researchers Oladimeji Farri 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. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. GloVe: Global Vectors for Word Representation

Their papers

• DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference (2018) — 105 citations
• Condensed Memory Networks for Clinical Diagnostic Inferencing (2016) — 108 citations
• Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task (2018) — 117 citations
• Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning (2017) — 29 citations
• Diagnostic Inferencing via Improving Clinical Concept Extraction with Deep Reinforcement Learning: A Preliminary Study (2017) — 43 citations