Siamak Shakeri
Artificial Intelligence · 2019–2025
A researcher in the Science corpus: 12 papers; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 319 citations into it
- Natural Language Processing — 157 citations into it
- Computer Vision and Pattern Recognition — 146 citations into it
- Large Language Models — 75 citations into it
- Information Retrieval & Search — 18 citations into it
- Efficiency & Compression — 10 citations into it
- Signal Processing — 7 citations into it
- Knowledge Graphs & Representation — 6 citations into it
Whom Siamak Shakeri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Oriol Vinyals
- Yoon Kim
- Ilya Sutskever
- Alex Krizhevsky
- Alex Graves
- Yann LeCun
- Kaiming He
Who trusts Siamak Shakeri overall
Papers from Siamak Shakeri's perspective
Ordered by how strongly the researchers Siamak Shakeri trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- PaLM 2 Technical Report (2023) — 1,524 citations
- PaLI-X: On Scaling up a Multilingual Vision and Language Model (2023) — 301 citations
- Transcending Scaling Laws with 0.1% Extra Compute (2022) — 78 citations
- Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training (2021) — 208 citations
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024) — 3,818 citations
- Gemma: Open Models Based on Gemini Research and Technology (2024) — 1,150 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Capabilities of Gemini Models in Medicine (2024) — 407 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2023) — 266 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training (2020) — 36 citations
- Knowledge Distillation in Document Retrieval (2019) — 7 citations