Faisal Ladhak

Artificial Intelligence · Transactions of the Association for Computational Linguistics · 2018–2024

A researcher in the Science corpus: 14 papers; trusts 303 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Faisal Ladhak trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Chin-Yew Lin
  6. Alex Krizhevsky
  7. Kyunghyun Cho
  8. Richard Socher
  9. Christopher D. Manning
  10. Yann LeCun

Who trusts Faisal Ladhak overall

  1. Sebastian Gehrmann
  2. Laura Perez-Beltrachini
  3. David Wan
  4. Shuming Ma
  5. Tu Vu
  6. Wojciech Kryscinski
  7. Esin Durmus
  8. Li Dong
  9. Jeff Wu
  10. Zewen Chi

Papers from Faisal Ladhak's perspective

Ordered by how strongly the researchers Faisal Ladhak 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers