contrastive alignment
A technique in machine learning that aligns representations from different modalities or samples by maximizing similarity and minimizing difference, fostering better understanding and integration of diverse data.
- FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
- Mitigating Semantic Collapse in Partially Relevant Video Retrieval
- One for All: Universal Topological Primitive Transfer for Graph Structure Learning
- Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO
- SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions