Mengling Feng

Artificial Intelligence · with Cambria · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mengling Feng trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Ilya Sutskever (in Artificial Intelligence)
  3. Yoshua Bengio (in Artificial Intelligence)
  4. Quoc V. Le (in Artificial Intelligence)

Papers from Mengling Feng's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. ImageNet classification with deep convolutional neural networks
  5. Bleu: a Method for Automatic Evaluation of Machine Translation
  6. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)

Their papers