Mayur Mudigonda

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mayur Mudigonda trusts overall

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

  1. Radford M. Neal
  2. Jascha Narain Sohl-Dickstein
  3. Mark A. Girolami
  4. Geoffrey E. Hinton
  5. Jasper Snoek
  6. Jesus A. Izaguirre
  7. Sepp Hochreiter
  8. Diederik P. Kingma
  9. Ziyun Wang
  10. Yoshua Bengio

Who trusts Mayur Mudigonda overall

  1. Daniel Lévy
  2. Taco Cohen
  3. Michaël Defferrard
  4. Matthew D. Hoffman
  5. A. Berger
  6. Nilesh Tripuraneni
  7. Jascha Narain Sohl-Dickstein

Papers from Mayur Mudigonda's perspective

Ordered by how strongly the researchers Mayur Mudigonda 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers