David Glukhov

2023

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

Whom David Glukhov trusts overall

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

1. Amos Azaria
2. Todor Markov
3. Nora Belrose
4. Tom Michael Mitchell

Papers from David Glukhov's perspective

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

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

Their papers

• LLM Censorship: A Machine Learning Challenge or a Computer Security Problem? (2023) — 81 citations