Eunah Cho

Natural Language Processing · 2014–2022

A researcher in the Science corpus: 9 papers; trusts 185 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 137 citations into it; #2,197 of 5,688 by trust here, #2,307 by citations
• Artificial Intelligence — 134 citations into it; #7,408 of 35,345 by trust here, #10,065 by citations
• Computer Vision and Pattern Recognition — 49 citations into it; #8,766 of 21,575 by trust here, #15,529 by citations
• Model Architectures — 19 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Large Language Models — 16 citations into it
• Optimization & Training — 16 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Eunah Cho trusts overall

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

1. Franz Joseph Och
2. Philipp Koehn
3. Rico Sennrich
4. Ilya Sutskever
5. Diederik P. Kingma
6. Andreas Stolcke
7. Yoshua Bengio
8. Kenneth Heafield
9. Geoffrey E. Hinton
10. Sepp Hochreiter

Who trusts Eunah Cho overall

1. Felix Stahlberg
2. Eliyahu Kiperwasser
3. Soravit Changpinyo
4. Christian Hardmeier
5. Michael J. Denkowski
6. Ali El-Kahky
7. Timo Schick
8. Jason Aaron Edward Weston
9. Haowen Xu
10. Markus Freitag

Papers from Eunah Cho's perspective

Ordered by how strongly the researchers Eunah Cho 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
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

• Data Augmentation using Pre-trained Transformer Models (2020) — 411 citations
• Pre-Translation for Neural Machine Translation (2016) — 94 citations
• Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning (2017) — 119 citations
• The Karlsruhe Institute of Technology Translation Systems for the WMT 2014 (2014) — 11 citations
• Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation (2022) — 63 citations
• The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2018 (2018) — 10 citations
• The Karlsruhe Institute of Technology Translation Systems for the WMT 2015 (2015) — 8 citations
• Combined spoken language translation (2014) — 21 citations
• EU-BRIDGE MT: Combined Machine Translation (2014) — 23 citations