Robin Manhaeve

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robin Manhaeve trusts overall

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

  1. Luc De Raedt
  2. Tim Rocktaschel
  3. Angelika Kimmig
  4. Diederik P. Kingma
  5. Armando Solar-Lezama
  6. Seyed Mehran Kazemi
  7. Yann LeCun
  8. Jason Eisner
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Robin Manhaeve overall

  1. A.S. d'Avila Garcez
  2. Chadi Helwe
  3. Samy Badreddine
  4. Luc De Raedt
  5. Yufei Feng
  6. Masataro Asai
  7. Chloé Clavel
  8. Luciano Serafini
  9. Marco Gori

Papers from Robin Manhaeve's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers