Phanwadee Sinthong
Artificial Intelligence · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #27,155 of 35,345 by trust here, #19,018 by citations
- Signal Processing — 26 citations into it; #5,718 of 7,572 by trust here, #3,309 by citations
- Computer Vision and Pattern Recognition — 18 citations into it
- Management Science and Operations Research — 13 citations into it; #8,933 of 11,946 by trust here, #4,430 by citations
- Model Architectures — 13 citations into it
- Natural Language Processing — 6 citations into it
Whom Phanwadee Sinthong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Sepp Hochreiter
- Yoshua Bengio
- Jacob Devlin
- Alex Krizhevsky
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Ilya Sutskever
- Yann LeCun
Who trusts Phanwadee Sinthong overall
Papers from Phanwadee Sinthong's perspective
Ordered by how strongly the researchers Phanwadee Sinthong 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
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Time Series is Worth 64 Words: Long-term Forecasting with Transformers (2022) — 4,010 citations
- TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting (2023) — 397 citations