Daniel Korat

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 Daniel Korat trusts

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

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

Papers from Daniel Korat's perspective

Ordered by how strongly the researchers Daniel Korat 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. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Scaling Laws for Neural Language Models (arXiv.org)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

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