Arun Venkatraman

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 6 papers; trusts 101 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Arun Venkatraman trusts overall

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

  1. Stéphane Ross
  2. Pieter Abbeel
  3. Yoshua Bengio
  4. Andrew Y. Ng
  5. Geoffrey E. Hinton
  6. Sham M. Kakade
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. J. Bagnell
  10. Alex Krizhevsky

Who trusts Arun Venkatraman overall

  1. Wen Sun
  2. Byron Boots
  3. Erik Talvitie
  4. Aravind Rajeswaran
  5. J. Bagnell
  6. Sara Sabour
  7. Lerrel Pinto
  8. Ching-An Cheng
  9. Nicholas Rhinehart
  10. Nan Ding

Papers from Arun Venkatraman's perspective

Ordered by how strongly the researchers Arun Venkatraman 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers