Paarth Neekhara

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paarth Neekhara trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ronald J. Williams
  4. Alex Graves
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Ian J. Goodfellow
  10. Yann LeCun

Who trusts Paarth Neekhara overall

  1. Karen Hambardzumyan
  2. Xu Tan
  3. Karan Goel
  4. Takuhiro Kaneko
  5. Kundan Kumar
  6. Hrant Khachatrian
  7. Tao Qin
  8. Albert Gu
  9. Kou Tanaka

Papers from Paarth Neekhara's perspective

Ordered by how strongly the researchers Paarth Neekhara 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers