Neerad Phansalkar

Signal Processing · 2011–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Neerad Phansalkar trusts overall

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

  1. Paul A. Viola
  2. Jaakko J. Sauvola
  3. Faisal Shafait
  4. Heng-Da Cheng
  5. Michael J. Jones
  6. Matti Pietikäinen
  7. Bülent Sankur
  8. Jean-Marc Valin
  9. Daniel Keysers
  10. Xihua Jiang

Papers from Neerad Phansalkar's perspective

Ordered by how strongly the researchers Neerad Phansalkar 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Going deeper with convolutions
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers