Jude Fernandes

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 3 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 205 citations into it
• Natural Language Processing — 119 citations into it
• Safety, Robustness & Interpretability — 69 citations into it
• Evaluation & Benchmarks — 59 citations into it

Whom Jude Fernandes trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Adina Williams
4. Diederik P. Kingma
5. Emily Dinan
6. Ilya Sutskever
7. Alex Krizhevsky
8. Richard Socher
9. Yann LeCun
10. Kaiming He

Papers from Jude Fernandes's perspective

Ordered by how strongly the researchers Jude Fernandes 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Llama 2: Open Foundation and Fine-Tuned Chat Models (2023) — 17,670 citations
• When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations
• Perturbation Augmentation for Fairer NLP (2022) — 73 citations