Victor Costa

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 147 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Victor Costa trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Diederik P. Kingma
  8. Jia Deng
  9. Ilya Sutskever
  10. Marc'Aurelio Ranzato

Who trusts Victor Costa overall

  1. Enrico Fini
  2. Quang Pham
  3. Yabin Wang
  4. Mert Kilickaya

Papers from Victor Costa's perspective

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

Their papers