Surinder Kumar

Artificial Intelligence · with Reddi · 2017–2023

A researcher in the Science corpus: 5 papers; trusts 40 researchers and is trusted by 105 researchers here, as inferred from the citation graph.

Subfields

Whom Surinder Kumar trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Matthew D. Zeiler
  5. Kaiming He
  6. Ilya Sutskever
  7. Adam Back
  8. Yoshua Bengio
  9. John C. Duchi
  10. Jimmy Ba

Who trusts Surinder Kumar overall

  1. Chaoyue Liu
  2. Jean-Marc Valin
  3. Yang Song
  4. Oliver T. Unke
  5. Fangyu Zou
  6. Diganta Misra
  7. Sai Praneeth Karimireddy
  8. Jee-weon Jung
  9. Jingzhao Zhang
  10. Xiangyi Chen

Papers from Surinder Kumar's perspective

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

Their papers