Heeyoung Lee
Artificial Intelligence · 2010–2019
A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it; #20,772 of 35,345 by trust here, #17,412 by citations
- Natural Language Processing — 44 citations into it; #1,931 of 5,688 by trust here, #2,031 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Heeyoung Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher D. Manning
- Daniel Klein
- Joseph E. Engelberg
- Vincent Ng
- Eric Bengtson
- Jenny Rose Finkel
- Sida I. Wang
- Hal Daumé Iii
- Daniel D. Lee
- James W. Pennebaker
Who trusts Heeyoung Lee overall
- Kevin Clark
- Nafise Sadat Moosavi
- Christopher D. Manning
- Greg Durrett
- Rodrigo Agerri
- Hannaneh Hajishirzi
- Ali Emami
- Junlin Yang
- Amir Zeldes
- Daniel Klein
Papers from Heeyoung Lee's perspective
Ordered by how strongly the researchers Heeyoung Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules (2013) — 481 citations
- On the Importance of Text Analysis for Stock Price Prediction (2014) — 107 citations
- Bridging the Gap for Tokenizer-Free Language Models (2019) — 27 citations
- Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task (2011) — 528 citations
- A Multi-Pass Sieve for Coreference Resolution (2010) — 460 citations