Yashar Talebirad

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Large Language Models — 5 citations into it

Whom Yashar Talebirad trusts overall

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

1. Shishir G. Patil
2. Hugo Touvron
3. Tianjun Zhang
4. Xin Wang

Who trusts Yashar Talebirad overall

1. Grégoire Mialon

Papers from Yashar Talebirad's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents (2023) — 462 citations