Samson Tan
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 8 papers; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 437 citations into it
- Natural Language Processing — 328 citations into it
- Evaluation & Benchmarks — 124 citations into it
- Computer Vision and Pattern Recognition — 109 citations into it
- Language and Linguistics — 5 citations into it
Whom Samson Tan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Matt Post
- Diederik P. Kingma
- Ian J. Goodfellow
- Ilya Sutskever
- Alex Krizhevsky
- Rico Sennrich
- Christian Szegedy
- Yann LeCun
Who trusts Samson Tan overall
Papers from Samson Tan's perspective
Ordered by how strongly the researchers Samson Tan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- 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
- Data Governance in the Age of Large-Scale Data-Driven Language Technology (2022) — 65 citations
- Robustness Gym: Unifying the NLP Evaluation Landscape (2021) — 167 citations
- Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP (2021) — 222 citations
- It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations (2020) — 121 citations
- NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation (2021) — 104 citations
- You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings (2022)
- ReCode: Robustness Evaluation of Code Generation Models (2022) — 161 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations