Luke Bates

Representation & Self-Supervised Learning · 2022

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

• Representation & Self-Supervised Learning — 8 citations into it

Whom Luke Bates trusts

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

1. Gregory R. Koch (in Representation & Self-Supervised Learning)

Papers from Luke Bates's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Distilling the Knowledge in a Neural Network (arXiv.org)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Efficient Few-Shot Learning Without Prompts (2022) — 311 citations