Rishita Anubhai

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rishita Anubhai trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Graves
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Oriol Vinyals
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Sepp Hochreiter
  10. Dzmitry Bahdanau

Who trusts Rishita Anubhai overall

  1. Yonatan Belinkov
  2. Ronan Collobert
  3. Takaaki Hori

Papers from Rishita Anubhai's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  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