Parikshit Ram

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Parikshit Ram trusts overall

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

  1. Alexander G. Gray
  2. Andrew W. Moore
  3. Kenneth L. Clarkson
  4. Jerome H. Friedman
  5. Alina Beygelzimer
  6. Yehuda Koren
  7. Gideon Dror
  8. W. Dehnen
  9. David R Karger
  10. Noam Koenigstein

Who trusts Parikshit Ram overall

  1. Anshumali Shrivastava
  2. Ping Li
  3. Firas Abuzaid
  4. Akshay Krishnamurthy
  5. Stephen O. Mussmann
  6. Alex Auvolat
  7. Leland McInnes
  8. Ruiqi Guo
  9. Kelvin Guu
  10. Jingtao Zhan

Papers from Parikshit Ram's perspective

Ordered by how strongly the researchers Parikshit Ram 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. Et al
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers