Ho-Jin Choi
Artificial Intelligence · with Choi · 2022
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
- Natural Language Processing — 19 citations into it
Whom Ho-Jin Choi trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jason Aaron Edward Weston (in Artificial Intelligence)
- Arthur Szlam (in Natural Language Processing)
- Kyunghyun Cho (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Samuel R. Bowman (in Artificial Intelligence)
- Kenton C. T. Lee (in Artificial Intelligence)
Papers from Ho-Jin Choi's perspective
Ordered by how strongly the researchers Ho-Jin Choi trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
- Gradient-based learning applied to document recognition