Peerapon Vateekul
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Natural Language Processing — 13 citations into it
- Reinforcement Learning — 5 citations into it
Whom Peerapon Vateekul trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Peerapon Vateekul's perspective
Ordered by how strongly the researchers Peerapon Vateekul 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)
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Language Models are Unsupervised Multitask Learners
- GloVe: Global Vectors for Word Representation
Their papers
- Federated learning for predicting clinical outcomes in patients with COVID-19 (2021) — 736 citations
- Rational LAMOL: A Rationale-based Lifelong Learning Framework (2021) — 23 citations