Janice Ahn

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it

Whom Janice Ahn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Subhro Roy
2. Geoffrey E. Hinton
3. Shyam Upadhyay
4. Diederik P. Kingma
5. Yoshua Bengio
6. Alex Krizhevsky
7. Ilya Sutskever
8. Kaiming He
9. Yann LeCun
10. Ming-Wei Chang

Papers from Janice Ahn's perspective

Ordered by how strongly the researchers Janice Ahn trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Language Models are Unsupervised Multitask Learners

Their papers

• Large Language Models for Mathematical Reasoning: Progresses and Challenges (2024) — 349 citations