Research map / Probabilistic and scientific modeling / Variational and generative sampling
Word Embedding as Maximum A Posteriori Estimation
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- What the Vec? Towards Probabilistically Grounded Embeddings (NeurIPS 2019 · similarity 0.90)
- Context Selection for Embedding Models (NeurIPS 2017 · similarity 0.89)
- Dynamic Word Embeddings (ICML 2017 · similarity 0.88)
- A Mutual Information Maximization Perspective of Language Representation Learning (ICLR 2020 · similarity 0.88)
- Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe (NeurIPS 2024 · similarity 0.87)
- NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models (ICLR 2025 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.