Bingning Wang

Artificial Intelligence · 2 papers · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 89 citations into it

Whom Bingning Wang trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Jimmy Ba
7. Ilya Sutskever
8. Noam Shazeer
9. Kaiming He
10. Alex Graves

Papers from Bingning Wang's perspective

Ordered by how strongly the researchers Bingning Wang 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. Long Short-Term Memory
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Layer Normalization

Their papers

• ShortGPT: Layers in Large Language Models are More Redundant Than You Expect (2024) — 376 citations
• Baichuan 2: Open Large-scale Language Models (2023) — 1,014 citations