Neural expectation-maximization and meta-models
cs.LG
Submitted: 2026-10-08
Updated: 2026-10-08
Sources
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
- Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures
- Neural Message Passing for Quantum Chemistry
- Mamba: Linear-Time Sequence Modeling with Selective State Spaces
- HyperNetworks
- Adam: A Method for Stochastic Optimization
- Interplay Between Belief Propagation and Transformer: Differential-Attention Message Passing Transformer
- Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation
- In-context Learning and Induction Heads
- DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
- Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
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