Shamil Chollampatt

Natural Language Processing · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 111 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 53 citations into it; #1,366 of 5,688 by trust here, #3,332 by citations
• Artificial Intelligence — 47 citations into it; #6,327 of 35,345 by trust here, #16,166 by citations
• Evaluation & Benchmarks — 22 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it; #14,112 of 21,575 by trust here, #18,782 by citations
• Machine Translation — 5 citations into it
• Model Architectures — 5 citations into it

Whom Shamil Chollampatt trusts overall

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

1. Philipp Koehn
2. Yoshua Bengio
3. Franz Joseph Och
4. Geoffrey E. Hinton
5. Matt Post
6. Rico Sennrich
7. Ilya Sutskever
8. Tomas Mikolov
9. Daniel Dahlmeier
10. Dzmitry Bahdanau

Who trusts Shamil Chollampatt overall

1. Adriane Boyd
2. Tao Ge
3. Felix Stahlberg
4. Dimitrios Alikaniotis
5. Roman Grundkiewicz
6. Weijia Xu
7. Jacob A. Harer
8. Furu Wei
9. Yu Wang
10. Christopher Bryant

Papers from Shamil Chollampatt's perspective

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

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

Their papers

• A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction (2018) — 234 citations
• Lexically Constrained Neural Machine Translation with Levenshtein Transformer (2020) — 87 citations
• Can Automatic Post-Editing Improve NMT? (2020) — 29 citations