Jae Sung Park
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 509 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 170 citations into it; #27,465 of 35,345 by trust here, #12,244 by citations
- Computer Vision and Pattern Recognition — 160 citations into it; #16,918 of 21,575 by trust here, #8,502 by citations
- Natural Language Processing — 73 citations into it; #4,517 of 5,688 by trust here, #2,695 by citations
- Multimodal Learning — 71 citations into it; #918 of 1,211 by trust here, #714 by citations
- Representation & Self-Supervised Learning — 30 citations into it
- Safety, Robustness & Interpretability — 27 citations into it
- Model Architectures — 15 citations into it
Whom Jae Sung Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Ross B. Girshick
- Ilya Sutskever
- Yann LeCun
- Shaoqing Ren
- Karen Simonyan
Who trusts Jae Sung Park overall
Papers from Jae Sung Park's perspective
Ordered by how strongly the researchers Jae Sung Park 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MERLOT: Multimodal Neural Script Knowledge Models (2021) — 455 citations
- Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs (2020) — 68 citations
- The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning (2022) — 70 citations