Rishabh Shukla

2019

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

Papers from Rishabh Shukla's perspective

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

  1. Convolutional Neural Networks for Sentence Classification
  2. Universal Language Model Fine-tuning for Text Classification
  3. Data Mining Practical Machine Learning Tools and Techniques
  4. A Stylometric Inquiry into Hyperpartisan and Fake News (Annual Meeting of the Association for Computational Linguistics)
  5. GloVe: Global Vectors for Word Representation
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet classification with deep convolutional neural networks
  8. Language Models are Unsupervised Multitask Learners
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Efficient Estimation of Word Representations in Vector Space

Their papers