Raghav Gupta

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Raghav Gupta trusts overall

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

  1. Diederik P. Kingma
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Kyunghyun Cho
  6. J. Urgen Schmidhuber
  7. Jimmy Ba
  8. Ilya Sutskever
  9. Oriol Vinyals
  10. Kaiming He

Who trusts Raghav Gupta overall

  1. Mihir Kale
  2. Abhinav Rastogi
  3. Qian Chen
  4. Zhaojiang Lin

Papers from Raghav Gupta's perspective

Ordered by how strongly the researchers Raghav Gupta trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers