Charles Jochim

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Natural Language Processing — 5 citations into it

Whom Charles Jochim trusts overall

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

1. Burr Settles
2. Fei Sha
3. John D. Lafferty
4. Fernando C Pereira
5. Minwei Feng
6. Andrew McCallum
7. Jin-Dong Kim
8. Bing Xiang
9. Dan Roth

Papers from Charles Jochim's perspective

Ordered by how strongly the researchers Charles Jochim 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Named Entity Recognition in the Medical Domain with Constrained CRF Models (2017) — 12 citations