Nikhil Siddhartha

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nikhil Siddhartha trusts overall

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

  1. Alex Graves

Papers from Nikhil Siddhartha's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Representation Learning with Contrastive Predictive Coding
  3. Categorical Reparameterization with Gumbel-Softmax
  4. Sequence Transduction with Recurrent Neural Networks
  5. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
  6. Connectionist Temporal Classification: Labelling Unsegmented Sequences with Recurrent Neural Networks
  7. wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (Neural Information Processing Systems)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Cross-lingual Language Model Pretraining

Their papers