Ramit Sawhney

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ramit Sawhney trusts overall

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

  1. Aditya Grover
  2. Lucie Flekova
  3. Jacob Fox
  4. Glen A. Coppersmith
  5. Tsung-Yi Lin
  6. Dirk Hovy
  7. Adrian Donald Benton
  8. Geoffrey E. Hinton
  9. Jure Leskovec
  10. Muhammad Abdul-Mageed

Papers from Ramit Sawhney's perspective

Ordered by how strongly the researchers Ramit Sawhney 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers