Potsawee Manakul
Artificial Intelligence · 2023
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #28,098 of 35,345 by trust here, #16,471 by citations
- Natural Language Processing — 19 citations into it
- Large Language Models — 16 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Potsawee Manakul trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yijun Xiao
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Pengcheng He
- Iz Beltagy
- Rémi Lebret
- Alex Krizhevsky
- Kaiming He
Who trusts Potsawee Manakul overall
- Vipula Rawte
- Traian Rebedea
- Chaitanya Malaviya
- Zhibin Gou
- Chao Chen
- Sewon Min
- Amit P. Sheth
- Subin Lee
- Zhihong Shao
- Max Vargas
Papers from Potsawee Manakul's perspective
Ordered by how strongly the researchers Potsawee Manakul trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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
- Gradient-based learning applied to document recognition
- 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)
Their papers
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models (2023) — 1,075 citations