Nikita Moghe

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nikita Moghe trusts overall

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

  1. Diederik P. Kingma
  2. Matthew D. Zeiler
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. William H. Guss
  6. Iulian Serban
  7. Jimmy Ba
  8. John C. Duchi
  9. Ryan J. Lowe
  10. Alex Krizhevsky

Who trusts Nikita Moghe overall

  1. Wen Zheng
  2. Siddharth Arora
  3. Haolan Zhan
  4. Byeongchang Kim
  5. Bill Byrne
  6. Zhibin Liu
  7. Jinjie Ni
  8. Lianhui Qin
  9. Natasa Milic-Frayling
  10. Mitesh M. Khapra

Papers from Nikita Moghe's perspective

Ordered by how strongly the researchers Nikita Moghe 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers