Sidharth Mudgal

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sidharth Mudgal trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Graves
  6. Tomas Mikolov
  7. Dzmitry Bahdanau
  8. Oriol Vinyals
  9. Alex Krizhevsky
  10. J. Urgen Schmidhuber

Who trusts Sidharth Mudgal overall

  1. Sanjay Krishnan
  2. AnHai Doan
  3. Yuliang Li
  4. Muhammad Ebraheem
  5. Ryan Marcus
  6. Eugene Wu

Papers from Sidharth Mudgal's perspective

Ordered by how strongly the researchers Sidharth Mudgal 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers