Eric Hambro

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 87 citations into it

Whom Eric Hambro trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Graves
4. Diederik P. Kingma

Papers from Eric Hambro's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Language Models are Unsupervised Multitask Learners
8. Gradient-based learning applied to document recognition
9. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• LLaMA: Open and Efficient Foundation Language Models (2023) — 20,887 citations
• Understanding the Effects of RLHF on LLM Generalisation and Diversity (2023) — 411 citations