Nakul Verma

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 9 papers; trusts 182 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nakul Verma trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Partha Niyogi
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Kaiming He
  8. Ilya Sutskever
  9. Ruslan Salakhutdinov
  10. L. Eon Bottou

Who trusts Nakul Verma overall

  1. Dominique C. Perrault-Joncas
  2. Marina Meil
  3. Mengzhao Wang
  4. Yichen Xu
  5. Arghavan Moradi Dakhel
  6. Shuai Li
  7. Jure Sokolić
  8. Xiaoliang Xu
  9. Hadar Serviansky
  10. Yanqiao Zhu

Papers from Nakul Verma's perspective

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

Their papers