Thang M. Pham
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #19,425 of 35,345 by trust here, #25,040 by citations
- Natural Language Processing — 32 citations into it; #3,327 of 5,688 by trust here, #4,601 by citations
- Large Language Models — 11 citations into it
- Evaluation & Benchmarks — 10 citations into it
Whom Thang M. Pham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Allyson Ettinger
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Wang
- Jimmy Ba
- Pranav Rajpurkar
- Jacob Devlin
- Kaiming He
- Alex Krizhevsky
Who trusts Thang M. Pham overall
- Albert Webson
- Ulme Wennberg
- J. O’Connor
- Ethan Perez
- Koustuv Sinha
- Douwe Kiela
- Ellie Pavlick
- Jacob Andreas
- Gustav Eje Henter
Papers from Thang M. Pham's perspective
Ordered by how strongly the researchers Thang M. Pham trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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)