Aditya Gupta

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 — 9 citations into it
• Natural Language Processing — 9 citations into it

Whom Aditya Gupta trusts overall

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

1. Pranav Rajpurkar
2. Jacob Devlin
3. Robin Jia
4. Percy Liang
5. Denis Peskov
6. Colin Raffel
7. Ming-Wei Chang
8. Elizabeth Shriberg
9. Geoffrey E. Hinton
10. Noam Shazeer

Papers from Aditya Gupta's perspective

Ordered by how strongly the researchers Aditya Gupta 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)

Their papers

• Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering (2021) — 37 citations