Piotr Padlewski
Google (United States)(US)
Publications by Year
Research Areas
Natural Language Processing Techniques, Multimodal Machine Learning Applications, Topic Modeling, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications
Most-Cited Works
- → PaLI: A Jointly-Scaled Multilingual Language-Image Model(2022)194 cited
- → Scaling Vision Transformers to 22 Billion Parameters(2023)118 cited
- → PaLI-X: On Scaling up a Multilingual Vision and Language Model(2023)38 cited
- → On Scaling Up a Multilingual Vision and Language Model(2024)34 cited
- → PaLI-3 Vision Language Models: Smaller, Faster, Stronger(2023)26 cited
- → Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution(2023)15 cited
- → Devirtualization in LLVM(2017)8 cited
- → Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models(2024)3 cited
- → Modeling the Invariance of Virtual Pointers in LLVM(2020)
- → Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models(2024)