Stav Cohen

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it

Whom Stav Cohen trusts overall

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

1. Bryan Klimt
2. Matt Fredrikson
3. Alexander Wei
4. Zach Nussbaum
5. Kaitao Song
6. Xinyue Shen
7. Zehan Li
8. Nicholas Carlini
9. Patrick Lewis
10. Somesh Jha

Papers from Stav Cohen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking (2024)