Austin Waters

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 4 papers; trusts 115 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Austin Waters trusts overall

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

  1. Geoffrey E. Hinton
  2. Brian Kingsbury
  3. Oriol Vinyals
  4. Tara N. Sainath
  5. Sepp Hochreiter
  6. Andrew Y. Ng
  7. Huaiyu Zhu
  8. Yoshua Bengio
  9. T. Landauer
  10. Kaiming He

Who trusts Austin Waters overall

  1. Hadi Pouransari
  2. Sungho Shin
  3. R. Takashima
  4. Nikolaos Passalis
  5. Jianping Gou
  6. Bowen Shi
  7. Nicolas Papernot
  8. Ryan Shaun Joazeiro de Baker
  9. Fei Yuan
  10. Oncel Tuzel

Papers from Austin Waters's perspective

Ordered by how strongly the researchers Austin Waters 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. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers