Anika Cheerla

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Anika Cheerla trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. L. V. D. van der Maaten
  4. Yoshua Bengio
  5. Sumit Chopra
  6. Alex Krizhevsky
  7. A. Esquela-Kerscher
  8. Nikhil Cheerla
  9. Nitish Srivastava
  10. Ilya Sutskever

Who trusts Anika Cheerla overall

  1. Sören Richard Stahlschmidt
  2. Guang Yang
  3. B. Bhinder
  4. Benjamin Ulfenborg
  5. Qinghao Ye
  6. C. Gilvary
  7. Pegah Khosravi
  8. Guillaume Jaume
  9. Jane Synnergren
  10. Jun Xia

Papers from Anika Cheerla's perspective

Ordered by how strongly the researchers Anika Cheerla 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers