Adam Grycner

Computer Vision and Pattern Recognition · 2022–2024

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

Subfields

Whom Adam Grycner trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Adam Grycner's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  8. Long Short-Term Memory
  9. Show and tell: A neural image caption generator
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers