Nikunj Agrawal

Artificial Intelligence · 2013

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Nikunj Agrawal trusts overall

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

  1. L. Eon Bottou
  2. Dimitri P. Bertsekas
  3. Tianbao Yang
  4. Rie Johnson
  5. Dhruv Kumar Mahajan
  6. Dong C. Liu
  7. Chih-Jen Lin
  8. Michael Patriksson
  9. Alekh Agarwal
  10. Tong Zhang

Who trusts Nikunj Agrawal overall

  1. Shusen Wang
  2. Xiang Li
  3. Jakub Konecný

Papers from Nikunj Agrawal's perspective

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

Their papers