Vishwajeet Agrawal

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Natural Language Processing — 29 citations into it
• Evaluation & Benchmarks — 14 citations into it

Whom Vishwajeet Agrawal trusts overall

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

1. Chin-Yew Lin
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Richard Socher
5. Jeffrey Pennington
6. Jacob Devlin
7. Ilya Sutskever
8. Diederik P. Kingma

Papers from Vishwajeet Agrawal's perspective

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

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

Their papers

• Explanations for CommonsenseQA: New Dataset and Models (2021) — 166 citations