Dinesh Khandelwal

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 Dinesh Khandelwal trusts overall

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

1. Chin-Yew Lin

Papers from Dinesh Khandelwal's perspective

Ordered by how strongly the researchers Dinesh Khandelwal 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. GloVe: Global Vectors for Word Representation
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Language Models are Unsupervised Multitask Learners
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
10. Gradient-based learning applied to document recognition

Their papers

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