Karthik Sankaranarayanan
Artificial Intelligence · with Wang · 2017–2024
A researcher in the Science corpus: 4 papers; trusts 52 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it; #32,013 of 35,345 by trust here, #13,163 by citations
- Natural Language Processing — 64 citations into it; #5,144 of 5,688 by trust here, #2,567 by citations
- Computer Vision and Pattern Recognition — 38 citations into it; #21,430 of 21,575 by trust here, #14,151 by citations
- Evaluation & Benchmarks — 27 citations into it; #3,114 of 3,147 by trust here, #2,410 by citations
- Large Language Models — 8 citations into it
- Information Retrieval & Search — 7 citations into it
Whom Karthik Sankaranarayanan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antoine Bordes
- Yoshua Bengio
- Jason Aaron Edward Weston
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Chin-Yew Lin
- Yann LeCun
- Jonathan Berant
Who trusts Karthik Sankaranarayanan overall
Papers from Karthik Sankaranarayanan's perspective
Ordered by how strongly the researchers Karthik Sankaranarayanan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Their papers
- Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph (2018) — 212 citations
- DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension (2018) — 206 citations
- When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations
- Story Generation from Sequence of Independent Short Descriptions (2017) — 91 citations