Tianshuo Cong

Computer Vision and Pattern Recognition · 2023

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

Subfields

Whom Tianshuo Cong trusts

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

  1. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Tianshuo Cong's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  3. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  4. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  5. Visualizing Data using t-SNE
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Attention is All you Need (Neural Information Processing Systems)
  9. On the Opportunities and Risks of Foundation Models
  10. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)

Their papers