Rahul Khanna
Artificial Intelligence · 2020
A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 92 citations into it
- Natural Language Processing — 76 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
- Large Language Models — 23 citations into it
Whom Rahul Khanna trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jacob Devlin
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Dzmitry Bahdanau
- Kyunghyun Cho
- Yann LeCun
- Kaiming He
Who trusts Rahul Khanna overall
Papers from Rahul Khanna's perspective
Ordered by how strongly the researchers Rahul Khanna trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Birds Have Four Legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models (2020) — 169 citations
- ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data (2020) — 60 citations
- LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation (2020) — 22 citations
- RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms (2020) — 42 citations