Scholar
Brenden M. Lake
Google Scholar ID: vspmOX8AAAAJ
Associate Professor, Princeton University
Citations & Impact
Citations
11,237
H-index
31
i10-index
44
Publications
20
Co-authors
89
list available
Publications
Resume (English only)
Academic Achievements
- Published several high-impact papers, such as 'Grounded language acquisition through the eyes and ears of a single child' (Science, 2024) and 'Learning high-level visual representations from a child’s perspective without strong inductive biases' (Nature Machine Intelligence, 2024). These studies have uncovered key cognitive ingredients and inductive biases missing from current models.
Research Experience
- Leads a lab focused on few-shot learning of new concepts, learning by generating new goals, learning by asking questions, and learning by producing novel combinations of known components. Technical efforts focus on modern neural network modeling, including meta-learning, fine-tuning LLMs, neuro-symbolic modeling, and learning from child headcam videos.
Education
- No detailed educational background information provided.
Background
- Associate Professor of Computer Science and Psychology at Princeton University. Research interests include the unique components of human intelligence, using advances in machine intelligence to better understand human intelligence, and leveraging insights from human intelligence to develop more fruitful kinds of machine intelligence.
Miscellany
- Teaches courses including Computational Models of Cognition (COS 360 / PSY 360) at Princeton, and has taught multiple courses related to cognitive science at NYU.
