Rahul Pandita

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rahul Pandita trusts overall

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

  1. Daniel Klein
  2. Christopher D. Manning
  3. Marie-Catherine de Marneffe
  4. Dekang Lin
  5. Dekang Lin
  6. Adrienne Porter Felt
  7. William Enck
  8. Suresh Thummalapenta
  9. Lin Tan
  10. Yajin Zhou

Who trusts Rahul Pandita overall

  1. Alessandra Gorla
  2. G. Husari
  3. Kimberly Tam

Papers from Rahul Pandita's perspective

Ordered by how strongly the researchers Rahul Pandita 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers