Chameleon Team

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Multimodal Learning — 13 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Natural Language Processing — 9 citations into it

Whom Chameleon Team trusts overall

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

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

Who trusts Chameleon Team overall

1. Peize Sun
2. Jinheng Xie
3. Chunting Zhou
4. Yi Jiang
5. Xinlong Wang

Papers from Chameleon Team's perspective

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

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

Their papers

• Chameleon: Mixed-Modal Early-Fusion Foundation Models (2024) — 918 citations