Neuro-Symbolic AI Reading Group
We dicuss latest papers in Neuro-Symbolic methods for vision and language learning. Papers include modeling work in program synthesis, large language models and computational cognitive science.
Email aishni@g.ucla.edu to join weekly hybrid meetings hosted on Zoom and in-person at UCLA.
Resources
- Deep Compositional Question Answering with Neural Module Networks. [Slides presented by Binze Li].
- Language-Mediated, Object-Centric Representation Learning (LORL). [Slides presented by Joyce Goh].
- Shaping Visual Representation with Language for Few-Shot Classification. [Slides presented by Victoria Choi].