Keshav Singh

Artificial Intelligence · 2019

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 — 15 citations into it
• Natural Language Processing — 14 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Keshav Singh trusts overall

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

1. Diederik P. Kingma
2. Andrew S. Gordon

Papers from Keshav Singh's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
4. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
5. A large annotated corpus for learning natural language inference
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet classification with deep convolutional neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Their papers

• When Choosing Plausible Alternatives, Clever Hans can be Clever (2019) — 63 citations