Seth Neel

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 11 papers; trusts 62 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom Seth Neel trusts overall

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

  1. Cynthia Dwork
  2. Aaron Roth
  3. Kobbi Nissim
  4. Moritz Hardt
  5. Michael Kearns
  6. Yoav Freund
  7. Adam D. Smith
  8. Santosh Srinivas Vempala
  9. D. Kalai
  10. Frank McSherry

Who trusts Seth Neel overall

  1. Christopher Jung
  2. Michael Kearns
  3. Aaron Roth
  4. Luca Oneto
  5. Angelina Wang
  6. Alexander Warnecke
  7. Ayush Sekhari
  8. Elliot Creager
  9. Aleksandrs Slivkins
  10. Aditya Golatkar

Papers from Seth Neel's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers