Anirudh Ajith

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it
• Natural Language Processing — 23 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Retrieval-Augmented Generation — 5 citations into it

Whom Anirudh Ajith trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Alex Krizhevsky
5. Chin-Yew Lin
6. Ilya Sutskever
7. Yann LeCun
8. Kaiming He
9. Nicholas Carlini
10. Alex Graves

Papers from Anirudh Ajith's perspective

Ordered by how strongly the researchers Anirudh Ajith trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Adapting Language Models to Compress Contexts (2023) — 364 citations
• Detecting Pretraining Data from Large Language Models (2023) — 424 citations