Tanmay Shankar

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tanmay Shankar trusts overall

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

  1. Stefan Schaal
  2. Geoffrey E. Hinton
  3. Jens Kober
  4. Richard S. Sutton
  5. Jan Peters
  6. Ronald J. Williams
  7. Sepp Hochreiter
  8. Diederik P. Kingma
  9. J. Urgen Schmidhuber
  10. Yoshua Bengio

Who trusts Tanmay Shankar overall

  1. Avi Singh
  2. Anurag Ajay
  3. Danijar Hafner
  4. Karl Pertsch
  5. Huihan Liu
  6. Abhinav Kumar Gupta
  7. Sergey Levine
  8. Aviral Kumar
  9. Pedro A. Ortega
  10. Youngwoon Lee

Papers from Tanmay Shankar's perspective

Ordered by how strongly the researchers Tanmay Shankar 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. Long Short-Term Memory
  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. GENERATIVE ADVERSARIAL NETS

Their papers