Harshit Joshi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Harshit Joshi trusts overall

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

  1. Lucie Flekova
  2. Jacob Fox
  3. Glen A. Coppersmith
  4. Dirk Hovy
  5. Adrian Donald Benton
  6. Tsung-Yi Lin
  7. Aditya Grover
  8. Muhammad Abdul-Mageed
  9. James W. Pennebaker
  10. J. N. Rosenquist

Papers from Harshit Joshi's perspective

Ordered by how strongly the researchers Harshit Joshi 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. 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. ImageNet: A large-scale hierarchical image database
  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. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers