J. Zhou

Artificial Intelligence · with Jamnik · 2022

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

Subfields

• Artificial Intelligence — 27 citations into it; #34,923 of 35,345 by trust here, #23,077 by citations

Whom J. Zhou trusts overall

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

1. Ilya Sutskever
2. Stanislas Polu
3. Guillaume Lample

Who trusts J. Zhou overall

1. Michael R Douglas

Papers from J. Zhou's perspective

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

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

Their papers

• Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs (2022) — 338 citations