Tagyoung Chung
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 122 citations into it
- Natural Language Processing — 92 citations into it
- Computer Vision and Pattern Recognition — 51 citations into it
- Representation & Self-Supervised Learning — 34 citations into it
- Evaluation & Benchmarks — 16 citations into it
- Model Architectures — 8 citations into it
- Signal Processing — 6 citations into it
Whom Tagyoung Chung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Alex Graves
- Geoffrey E. Hinton
- Ilya Sutskever
- Percy Liang
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Dzmitry Bahdanau
Papers from Tagyoung Chung's perspective
Ordered by how strongly the researchers Tagyoung Chung trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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)
- ImageNet: A large-scale hierarchical image database
Their papers
- Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators (2019) — 66 citations
- Dialog State Tracking: A Neural Reading Comprehension Approach (2019) — 169 citations
- Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE (2021) — 33 citations
- Practical Semantic Parsing for Spoken Language Understanding (2019) — 28 citations