Tom Eccles

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Eccles trusts overall

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

  1. Jorma Rissanen
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Anthony V. Robins
  8. Kaiming He
  9. Jimmy Ba
  10. J. Urgen Schmidhuber

Who trusts Tom Eccles overall

  1. Fei Ye
  2. Jorge Armando Mendez Mendez
  3. Adrian G. Bors
  4. Hugo Caselles-Dupré
  5. Martin Mundt
  6. Eric Eaton
  7. Rui Gao
  8. Senthil Purushwalkam
  9. Jason Ramapuram

Papers from Tom Eccles's perspective

Ordered by how strongly the researchers Tom Eccles 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers