Mitch Paul Mithun

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 13 citations into it; #3,970 of 5,688 by trust here, #5,502 by citations
• Artificial Intelligence — 11 citations into it; #23,700 of 35,345 by trust here, #33,294 by citations

Whom Mitch Paul Mithun trusts overall

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

1. Christopher D. Manning
2. Dzmitry Bahdanau
3. Jeffrey Pennington
4. Yoshua Bengio
5. Richard Socher
6. George A. Miller
7. Ankur P. Parikh
8. Kyunghyun Cho
9. James Thorne
10. Geoffrey E. Hinton

Who trusts Mitch Paul Mithun overall

1. James Thorne
2. Harsh Jhamtani

Papers from Mitch Paul Mithun's perspective

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

1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. GloVe: Global Vectors for Word Representation
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• On the Importance of Delexicalization for Fact Verification (2019) — 17 citations