Luna Phipps-Costin

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Luna Phipps-Costin trusts overall

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

  1. Claudiu Saftoiu
  2. Jong-hoon An
  3. Jiayi Wei
  4. Michael Furr
  5. Rabee Sohail Malik
  6. Aseem Rastogi
  7. Avik Chaudhuri
  8. Giuseppe Castagna
  9. Jeremy G. Siek
  10. Michael Pradel

Papers from Luna Phipps-Costin's perspective

Ordered by how strongly the researchers Luna Phipps-Costin trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers