Maxwell Lin
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 67 citations into it
- Natural Language Processing — 51 citations into it
- Information Systems — 44 citations into it
- Software — 24 citations into it
- Code Generation & Program Synthesis — 20 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Alignment & RLHF — 5 citations into it
Whom Maxwell Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Dzmitry Bahdanau
- Ilya Sutskever
- Angelica Chen
- Alex Krizhevsky
- Jacob Devlin
- Sepp Hochreiter
- Yann LeCun
Who trusts Maxwell Lin overall
Papers from Maxwell Lin's perspective
Ordered by how strongly the researchers Maxwell Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Teaching Large Language Models to Self-Debug (2023) — 1,232 citations
- SpreadsheetCoder: Formula Prediction from Semi-structured Context (2021) — 65 citations