Federico Lebr'on

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it

Whom Federico Lebr'on trusts

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

1. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Federico Lebr'on's perspective

Ordered by how strongly the researchers Federico Lebr'on trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distilling the Knowledge in a Neural Network (arXiv.org)
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
6. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)
7. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
8. ImageNet classification with deep convolutional neural networks
9. Long Short-Term Memory
10. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Their papers

• GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints (2023) — 1,604 citations