Nishant Patil

with Young · 2016–2023

A researcher in the Science corpus: 5 papers; trusts 0 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Who trusts Nishant Patil

  1. Quoc V. Le (in Artificial Intelligence)
  2. Richard Socher (in Artificial Intelligence)
  3. Caiming Xiong (in Artificial Intelligence)

Papers from Nishant Patil's perspective

Ordered by how strongly the researchers Nishant Patil 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Large Scale Distributed Deep Networks
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers