Ayush Pareek

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ayush Pareek trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Tomas Mikolov
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Daniel D. Lee
  7. Aylin Caliskan
  8. A. Greenwald
  9. Kyunghyun Cho
  10. Oriol Vinyals

Who trusts Ayush Pareek overall

  1. Percy Liang
  2. Michihiro Yasunaga
  3. Pieter Delobelle
  4. Omar U. Florez
  5. Svetlana Kiritchenko

Papers from Ayush Pareek's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. GloVe: Global Vectors for Word Representation
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers