Ananya Harsh Jha

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 4 papers; trusts 266 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ananya Harsh Jha trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Yann LeCun
  6. Kaiming He
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Jimmy Ba
  10. Max Welling

Who trusts Ananya Harsh Jha overall

  1. Aviv Gabbay
  2. Yedid Hoshen
  3. Kien Do
  4. Taesung Park
  5. Truyen Tran

Papers from Ananya Harsh Jha's perspective

Ordered by how strongly the researchers Ananya Harsh Jha 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. 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. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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