Hanlin Zhang

Neural Information Processing Systems · with Abbas · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hanlin Zhang trusts overall

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

1. Dong-Hyun Lee
2. Geoffrey E. Hinton

Papers from Hanlin Zhang's perspective

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

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

Their papers

• Towards Interpretable Natural Language Understanding with Explanations as Latent Variables (2020) — 50 citations
• DataComp-LM: In search of the next generation of training sets for language models (2024) — 374 citations