Iliyan Zarov

Artificial Intelligence · 2017–2024

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 99 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Iliyan Zarov trusts overall

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

1. Radford M. Neal
2. Quaid D. Morris
3. Diederik P. Kingma
4. Samuel J. Gershman
5. Brooks Paige

Papers from Iliyan Zarov's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Dropout: a simple way to prevent neural networks from overfitting
3. ImageNet classification with deep convolutional neural networks
4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Proximal Policy Optimization Algorithms (arXiv.org)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Llama 2: Open Foundation and Fine-Tuned Chat Models (2023) — 17,670 citations
• The Llama 3 Herd of Models (2024) — 17,085 citations
• A Universal Marginalizer for Amortized Inference in Generative Models (2017) — 31 citations