Vatsal Aggarwal

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Vatsal Aggarwal trusts overall

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

  1. Diederik P. Kingma
  2. Max Welling
  3. R. Skerry-Ryan
  4. Geoffrey E. Hinton
  5. Jaime Lorenzo-Trueba
  6. Yoshua Bengio
  7. Christophe Veaux
  8. Jonathan Shen
  9. Yuxuan Wang
  10. Alex Krizhevsky

Who trusts Vatsal Aggarwal overall

  1. Zhaoxi Mu
  2. Xiaochun An
  3. Ajinkya Kulkarni
  4. Xu Tan
  5. Frank K. Soong
  6. Xinyu Yang
  7. Andreas Triantafyllopoulos
  8. Yizhuo Dong
  9. Vincent Colotte
  10. Lei Xie

Papers from Vatsal Aggarwal's perspective

Ordered by how strongly the researchers Vatsal Aggarwal 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers