Harsha Nori

Artificial Intelligence · with Horvitz · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Harsha Nori trusts overall

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

  1. R. Caruana
  2. Yin Lou
  3. Ilya Sutskever
  4. Alec Radford
  5. Trevor J. Hastie
  6. Geoffrey E. Hinton
  7. Scott M. Lundberg
  8. Lloyd S. Shapley
  9. Yoshua Bengio
  10. Jerome H. Friedman

Who trusts Harsha Nori overall

  1. Guangzhi Xiong
  2. Gesina Schwalbe
  3. Maithra Raghu
  4. Dena F. Mujtaba
  5. Cynthia Rudin
  6. Forough Poursabzi-Sangdeh
  7. Christoph Molnar
  8. Ashraf Abdul
  9. Michael A. Madaio
  10. Rishabh Agarwal

Papers from Harsha Nori's perspective

Ordered by how strongly the researchers Harsha Nori 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers