Thomas Lamar

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 14 citations into it; #2,250 of 5,688 by trust here, #1,753 by citations
• Artificial Intelligence — 11 citations into it; #10,050 of 35,345 by trust here, #7,657 by citations

Whom Thomas Lamar trusts overall

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

1. Holger Schwenk
2. David Chiang
3. Yoshua Bengio
4. R. Rosenfeld
5. Tomas Mikolov

Who trusts Thomas Lamar overall

1. Kaisheng Yao
2. Rico Sennrich
3. Michalis K. Titsias

Papers from Thomas Lamar's perspective

Ordered by how strongly the researchers Thomas Lamar 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. A Neural Probabilistic Language Model
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Recurrent neural network based language model
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. On the difficulty of training recurrent neural networks
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Fast and Robust Neural Network Joint Models for Statistical Machine Translation (2014) — 590 citations