Pedro L. Ballester

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 225 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Pedro L. Ballester trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yann LeCun
  4. Ross B. Girshick
  5. Ilya Sutskever
  6. Christian Szegedy
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Kaiming He
  10. Nitish Srivastava

Who trusts Pedro L. Ballester overall

  1. Hyeonseob Nam
  2. Garrett Wilson
  3. Tianyuan Zhang
  4. Antonia Creswell
  5. Jaehoon Choi
  6. Adnan Qayyum
  7. Katherine L. Hermann

Papers from Pedro L. Ballester's perspective

Ordered by how strongly the researchers Pedro L. Ballester 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers