Ananye Agarwal

Biomedical Engineering · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ananye Agarwal trusts overall

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

  1. Xue Bin Peng
  2. Péter Fankhauser
  3. Marco Hutter
  4. John Schulman
  5. Jemin Hwangbo
  6. Stéphane Ross
  7. KangKang Yin
  8. Geoffrey E. Hinton
  9. Vladlen Koltun
  10. Diederik P. Kingma

Who trusts Ananye Agarwal overall

  1. Xuxin Cheng
  2. Ajay Mandlekar
  3. Jialong Li

Papers from Ananye Agarwal's perspective

Ordered by how strongly the researchers Ananye Agarwal 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Asynchronous Methods for Deep Reinforcement Learning

Their papers