Xiang Cheng

Artificial Intelligence · with Ahn · 2023

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

Subfields

• Artificial Intelligence — 18 citations into it

Whom Xiang Cheng trusts overall

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

1. Alex Graves
2. Sepp Hochreiter
3. J. Urgen Schmidhuber
4. John C. Duchi
5. Geoffrey E. Hinton
6. Imanol Schlag
7. Ashish Vaswani
8. Yoshua Bengio
9. Shivam Garg
10. Diederik P. Kingma

Papers from Xiang Cheng's perspective

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

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

Their papers

• Transformers learn to implement preconditioned gradient descent for in-context learning (2023) — 311 citations