Eric Nichols

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 4 papers; trusts 99 researchers and is trusted by 89 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #2,842 of 35,345 by trust here, #7,606 by citations
• Natural Language Processing — 39 citations into it; #805 of 5,688 by trust here, #2,011 by citations
• Evaluation & Benchmarks — 9 citations into it
• Large Language Models — 7 citations into it
• Model Architectures — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Management Science and Operations Research — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Eric Nichols trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Ronan Collobert
5. Ilya Sutskever
6. Alex Graves
7. Tomas Mikolov
8. Jason Aaron Edward Weston
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Eric Nichols overall

1. Xuezhe Ma
2. Zhilin Yang
3. Jie Yang
4. Hang Yan
5. Ziqi Zhang
6. Jinlan Fu
7. Vikas Yadav
8. Bishan Yang
9. Stephen Mayhew
10. Lingzhen Chen

Papers from Eric Nichols's perspective

Ordered by how strongly the researchers Eric Nichols 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Named Entity Recognition with Bidirectional LSTM-CNNs (2015) — 1,992 citations
• Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition (2017) — 438 citations
• Collaborative Storytelling with Large-scale Neural Language Models (2020) — 61 citations
• Lexical Acquisition through Implicit Confirmations over Multiple Dialogues (2017) — 15 citations