Dinesh Garg

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Dinesh Garg trusts

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

  1. Chin-Yew Lin (in Natural Language Processing)
  2. Christopher D. Manning (in Artificial Intelligence)
  3. Richard Socher (in Artificial Intelligence)
  4. Yoshua Bengio (in Artificial Intelligence)
  5. Kenton C. T. Lee (in Artificial Intelligence)
  6. Diederik P. Kingma (in Artificial Intelligence)
  7. Jacob Devlin (in Artificial Intelligence)
  8. Quoc V. Le (in Artificial Intelligence)
  9. Geoffrey E. Hinton (in Artificial Intelligence)
  10. Ilya Sutskever (in Artificial Intelligence)

Who trusts Dinesh Garg

  1. J. Scott McCarley (in Artificial Intelligence)

Papers from Dinesh Garg's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. ImageNet classification with deep convolutional neural networks
  4. GloVe: Global Vectors for Word Representation
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Long Short-Term Memory
  7. Language Models are Unsupervised Multitask Learners
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers