Dongyeop Kang
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 8 papers; trusts 161 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 136 citations into it; #20,582 of 35,345 by trust here, #11,750 by citations
- Natural Language Processing — 108 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it
- Evaluation & Benchmarks — 33 citations into it
- Large Language Models — 23 citations into it
- Model Architectures — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Molecular Biology — 8 citations into it
Whom Dongyeop Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Ronald J. Williams
- Yoshua Bengio
- Geoffrey E. Hinton
- Sepp Hochreiter
- Ilya Sutskever
- Christopher D. Manning
- Yann LeCun
- Richard Socher
- Dzmitry Bahdanau
Who trusts Dongyeop Kang overall
- Anna Wegmann
- Steven Y. Feng
- Bohan Li
- Anna Rogers
- Rishi Bommasani
- Yonatan Belinkov
- Yichun Yin
- Dietmar Jannach
- Varun Prashant Gangal
- Kyle Lo
Papers from Dongyeop Kang's perspective
Ordered by how strongly the researchers Dongyeop Kang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples (2018) — 86 citations
- Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue (2019) — 125 citations
- Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision (2022) — 72 citations
- A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications (2018) — 282 citations
- Benchmarking Cognitive Biases in Large Language Models as Evaluators (2023) — 183 citations
- GenAug: Data Augmentation for Finetuning Text Generators (2020) — 78 citations
- Understanding Iterative Revision from Human-Written Text (2022) — 78 citations
- (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas (2019) — 22 citations