Kartikay Khandelwal
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #10,640 of 35,345 by trust here, #3,052 by citations
- Natural Language Processing — 34 citations into it; #2,126 of 5,688 by trust here, #743 by citations
- Computer Vision and Pattern Recognition — 14 citations into it; #7,920 of 21,575 by trust here, #2,304 by citations
- Evaluation & Benchmarks — 9 citations into it
Whom Kartikay Khandelwal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Taku Kudo
- Geoffrey E. Hinton
- Yoshua Bengio
- Guillaume Lample
- Tomas Mikolov
- Richard Socher
- Ilya Sutskever
- Diederik P. Kingma
- E. Tjong Kim Sang
- Alex Krizhevsky
Who trusts Kartikay Khandelwal overall
- Jonas Pfeiffer
- Ivan Vulic
- Li Dong
- Goran Glavas
- Zewen Chi
- Sebastian Ruder
- Wenhui Wang
- Armen Aghajanyan
- Graham Neubig
- Michael Lewis
Papers from Kartikay Khandelwal's perspective
Ordered by how strongly the researchers Kartikay Khandelwal 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)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Unsupervised Cross-lingual Representation Learning at Scale (2019) — 8,807 citations
- The Llama 3 Herd of Models (2024) — 17,085 citations