Tanmay Gangwani

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 93 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tanmay Gangwani trusts overall

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

  1. Kenneth O. Stanley
  2. Ronald J. Williams
  3. Geoffrey E. Hinton
  4. Risto Miikkulainen
  5. John Schulman
  6. Christian Igel
  7. Richard S. Sutton
  8. J. Urgen Schmidhuber
  9. Pieter Abbeel
  10. Sergey Levine

Who trusts Tanmay Gangwani overall

  1. Raphael Memmesheimer
  2. Ivanna Mykhalchyshyna
  3. Viktor Seib

Papers from Tanmay Gangwani's perspective

Ordered by how strongly the researchers Tanmay Gangwani 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers