Varsha Kishore
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 102 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 79 citations into it; #2,648 of 35,345 by trust here, #2,660 by citations
- Natural Language Processing — 52 citations into it; #752 of 5,688 by trust here, #636 by citations
- Evaluation & Benchmarks — 37 citations into it; #406 of 3,147 by trust here, #384 by citations
- Computer Vision and Pattern Recognition — 29 citations into it; #3,684 of 21,575 by trust here, #1,992 by citations
Whom Varsha Kishore trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Chin-Yew Lin
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Matt Post
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Jacob Devlin
Who trusts Varsha Kishore overall
- Thomas Scialom
- Yixin Liu
- Elizabeth Clark
- Ananya B. Sai
- Yejin Choi
- Adyasha Maharana
- Daniel Deutsch
- Lianhui Qin
- Mohit Bansal
- Tanya Goyal
Papers from Varsha Kishore's perspective
Ordered by how strongly the researchers Varsha Kishore 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- BERTScore: Evaluating Text Generation with BERT (2019) — 9,100 citations
- ReasonIR: Training Retrievers for Reasoning Tasks (2025)