S. Agarwal

Artificial Intelligence · Neural Information Processing Systems · 2019–2025

A researcher in the Science corpus: 9 papers; trusts 179 researchers and is trusted by 761 researchers here, as inferred from the citation graph.

Subfields

Whom S. Agarwal trusts overall

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

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

Who trusts S. Agarwal overall

  1. Renrui Zhang
  2. Jack Hessel
  3. Oscar Michel
  4. Golnaz Ghiasi
  5. Wenhu Chen
  6. Andreas Furst
  7. Sanjay Subramanian
  8. Ari Holtzman
  9. Haotian Liu
  10. Chunyuan Li

Papers from S. Agarwal's perspective

Ordered by how strongly the researchers S. Agarwal 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers