Simon Kornblith
Google (United States)(US)
Publications by Year
Research Areas
Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Neural dynamics and brain function, Multimodal Machine Learning Applications, Adversarial Robustness in Machine Learning
Most-Cited Works
- → A Simple Framework for Contrastive Learning of Visual Representations(2020)7,312 cited
- → Do Better ImageNet Models Transfer Better?(2019)1,224 cited
- → When Does Label Smoothing Help?(2019)884 cited
- → Big Self-Supervised Models Advance Medical Image Classification(2021)577 cited
- → Big Self-Supervised Models are Strong Semi-Supervised Learners(2020)476 cited
- → Similarity of Neural Network Representations Revisited(2019)431 cited
- → Robust fine-tuning of zero-shot models(2022)358 cited
- → Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory(2018)337 cited
- → Towards Generalist Biomedical AI(2024)327 cited
- When does label smoothing help(2019)