Investigation of certain topics of machine learning techniques and discussion of their motivation, design, and applications.
Machine Learning Techniques
- From Soft Guidance to Hard Constraints on Diffusion Sampling
- Diffusion Models in Discrete Space
- Encoding Relative Positions with RoPE
- New Generations of BERT
- Train LLMs to Understand Beyond Text
- Spatiotemporal AI Agent Dilemma
- Shortcuts in Flow Matching ODE and Score Matching SDE
- Multi-modal Transformers
- One Step Diffusion Models