Virat Shejwalkar

Artificial Intelligence · 2019–2025

A researcher in the Science corpus: 4 papers; trusts 124 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Virat Shejwalkar trusts overall

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

  1. Alex Krizhevsky
  2. Battista Biggio
  3. Jerry Zheng Li
  4. H. Brendan McMahan
  5. Karen Simonyan
  6. El Mahdi El Mhamdi
  7. Yann LeCun
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Virat Shejwalkar overall

  1. Lingjuan Lyu
  2. Han Yu
  3. Xuefei Yin
  4. Hangyu Zhu

Papers from Virat Shejwalkar's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers