Jesse Mu

Artificial Intelligence · with Bowman · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jesse Mu trusts

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

  1. Yoshua Bengio (in Artificial Intelligence)
  2. Richard Socher (in Artificial Intelligence)
  3. He He (in Artificial Intelligence)
  4. Julia Kreutzer (in Artificial Intelligence)
  5. Richard Yuanzhe Pang (in Artificial Intelligence)
  6. Samuel Kiegeland (in Natural Language Processing)
  7. Diederik P. Kingma (in Artificial Intelligence)
  8. Caiming Xiong (in Artificial Intelligence)

Papers from Jesse Mu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Language Models are Unsupervised Multitask Learners
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Their papers