Yonatan Bitton
Artificial Intelligence · 2021–2025
A researcher in the Science corpus: 6 papers; trusts 156 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 166 citations into it
- Computer Vision and Pattern Recognition — 163 citations into it
- Multimodal Learning — 77 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
Whom Yonatan Bitton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Tsung-Yi Lin
Who trusts Yonatan Bitton overall
Papers from Yonatan Bitton's perspective
Ordered by how strongly the researchers Yonatan Bitton trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- DataComp: In search of the next generation of multimodal datasets (2023) — 734 citations
- OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models (2023) — 642 citations
- Data Efficient Masked Language Modeling for Vision and Language (2021) — 22 citations
- VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use (2023) — 111 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- DataComp-LM: In search of the next generation of training sets for language models (2024) — 374 citations