Kabir Ahuja

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it; #30,667 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 60 citations into it; #4,987 of 5,688 by trust here, #5,092 by citations
• Computer Vision and Pattern Recognition — 27 citations into it; #18,983 of 21,575 by trust here, #18,782 by citations
• Evaluation & Benchmarks — 22 citations into it
• Model Architectures — 6 citations into it

Whom Kabir Ahuja trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Oriol Vinyals
5. Ilya Sutskever
6. Alex Krizhevsky
7. Jimmy Ba
8. Yann LeCun
9. Christopher D. Manning
10. Alex Graves

Who trusts Kabir Ahuja overall

1. Kuan-Hao Huang
2. Chris Wendler
3. Jiao Sun

Papers from Kabir Ahuja's perspective

Ordered by how strongly the researchers Kabir Ahuja 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Syntax-Guided Controlled Generation of Paraphrases (2020) — 105 citations
• MEGA: Multilingual Evaluation of Generative AI (2023) — 418 citations