Mary M. Maleckar

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Mary M. Maleckar trusts overall

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

  1. Alec Radford
  2. Michael V. Boland
  3. Anders Boesen Lindbo Larsen
  4. Alireza Makhzani
  5. Ronan Collobert
  6. Diederik P. Kingma
  7. Geoffrey E. Hinton
  8. Anne E Carpenter
  9. Ian J. Goodfellow
  10. Robert F. Murphy

Who trusts Mary M. Maleckar overall

  1. Gregory R. Johnson
  2. Peter Goldsborough
  3. Erick Moen

Papers from Mary M. Maleckar's perspective

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

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

Their papers