Kundan Kumar

Artificial Intelligence · with Courville · 2016–2023

A researcher in the Science corpus: 8 papers; trusts 316 researchers and is trusted by 80 researchers here, as inferred from the citation graph.

Subfields

Whom Kundan Kumar trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. Aäron van den Oord
  6. Alex Krizhevsky
  7. Kaiming He
  8. Yann LeCun
  9. Ilya Sutskever
  10. Oriol Vinyals

Who trusts Kundan Kumar overall

  1. Xu Tan
  2. Wei Ping
  3. Chenpeng Du
  4. Hubert Siuzdak
  5. Rithesh Kumar
  6. Takuma Okamoto
  7. Tao Qin
  8. Yoshua Bengio
  9. Lei He
  10. Chris Donahue

Papers from Kundan Kumar's perspective

Ordered by how strongly the researchers Kundan Kumar 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. 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. Learning Multiple Layers of Features from Tiny Images

Their papers