Benjamin Elizalde

Computer Vision and Pattern Recognition · 2014–2023

A researcher in the Science corpus: 8 papers; trusts 70 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Elizalde trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Eduardo Fonseca
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Jimmy Ba
  8. Yann LeCun
  9. Kaiming He
  10. Alec Radford

Who trusts Benjamin Elizalde overall

  1. Soham Deshmukh
  2. Eduardo Fonseca
  3. Yunfei Chu
  4. Yihan Cao
  5. Sanyuan Chen
  6. Ishan Misra
  7. Rita Singh
  8. Justin Johnson
  9. Xavier Favory
  10. Huaming Wang

Papers from Benjamin Elizalde's perspective

Ordered by how strongly the researchers Benjamin Elizalde 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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