Ishika Singh

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ishika Singh trusts overall

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

  1. Cynthia Dwork
  2. Barret Zoph
  3. Geoffrey E. Hinton
  4. Quoc V. Le
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Kaiming He
  9. Diederik P. Kingma
  10. Jörg Hoffmann

Who trusts Ishika Singh overall

  1. Moo Jin Kim
  2. Zirui Zhao
  3. Lin Guan
  4. Sai H. Vemprala
  5. Xingyao Wang
  6. Zihao Wang
  7. Chan Hee Song
  8. Guanzhi Wang
  9. Xiaohan Xu
  10. Jimmy Wu

Papers from Ishika Singh's perspective

Ordered by how strongly the researchers Ishika Singh 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. 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  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