Artidoro Pagnoni
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 121 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 83 citations into it; #11,355 of 35,345 by trust here, #14,438 by citations
- Natural Language Processing — 47 citations into it; #2,217 of 5,688 by trust here, #3,053 by citations
- Large Language Models — 34 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it; #19,319 of 21,575 by trust here, #6,326 by citations
- Evaluation & Benchmarks — 23 citations into it; #1,162 of 3,147 by trust here, #1,876 by citations
- Efficiency & Compression — 16 citations into it; #1,097 of 1,264 by trust here, #483 by citations
- Alignment & RLHF — 12 citations into it
- Prompting & Reasoning — 11 citations into it
Whom Artidoro Pagnoni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Richard Socher
- Yann LeCun
- Jacob Devlin
- Kaiming He
- Alex Graves
Who trusts Artidoro Pagnoni overall
- Esin Durmus
- Faisal Ladhak
- David Wan
- Mingqi Gao
- Leonardo F. R. Ribeiro
- Vidhisha Balachandran
- Mengyao Cao
- Philippe Laban
- Ashwin Devaraj
- Sachin Kumar
Papers from Artidoro Pagnoni's perspective
Ordered by how strongly the researchers Artidoro Pagnoni 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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
- 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
Their papers
- QLoRA: Efficient Finetuning of Quantized LLMs (2023) — 5,083 citations
- Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics (2021) — 396 citations