Rishab Gargeya

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Rishab Gargeya trusts overall

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

  1. Alex Krizhevsky
  2. L. V. D. van der Maaten
  3. Geoffrey E. Hinton
  4. Sergey Ioffe
  5. Vinod Nair
  6. Christian Szegedy
  7. Ilya Sutskever
  8. Andrej Karpathy
  9. Kaiming He
  10. Yann LeCun

Who trusts Rishab Gargeya overall

  1. Tao Li
  2. Ursula Schmidt-Erfurth
  3. Xiaomeng Li
  4. Sehrish Qummar
  5. Daniel Shu Wei Ting
  6. Amir Sadeghipour
  7. Xiaowei Hu
  8. Wang Bo
  9. Fiaz Gul Khan

Papers from Rishab Gargeya's perspective

Ordered by how strongly the researchers Rishab Gargeya 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers