Meta-Learning Neural Mechanisms rather than Bayesian Priors
Fuente:
arXiv
Saved in:
| Main Authors: | Goodale, Michael, Mascarenhas, Salvador, Lakretz, Yair |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MapFormer: Self-Supervised Learning of Cognitive Maps with Input-Dependent Positional Embeddings
by: Rambaud, Victor, et al.
Published: (2025)
by: Rambaud, Victor, et al.
Published: (2025)
Metric Learning Encoding Models: A Multivariate Framework for Interpreting Neural Representations
by: Jalouzot, Louis, et al.
Published: (2024)
by: Jalouzot, Louis, et al.
Published: (2024)
A Neural Model for Word Repetition
by: Dager, Daniel, et al.
Published: (2025)
by: Dager, Daniel, et al.
Published: (2025)
What Makes Two Language Models Think Alike?
by: Salle, Jeanne, et al.
Published: (2024)
by: Salle, Jeanne, et al.
Published: (2024)
Probing Syntax in Large Language Models: Successes and Remaining Challenges
by: Diego-Simón, Pablo J., et al.
Published: (2025)
by: Diego-Simón, Pablo J., et al.
Published: (2025)
Emergence of Phonemic, Syntactic, and Semantic Representations in Artificial Neural Networks
by: Orhan, Pierre, et al.
Published: (2026)
by: Orhan, Pierre, et al.
Published: (2026)
Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants
by: Jalouzot, Louis, et al.
Published: (2025)
by: Jalouzot, Louis, et al.
Published: (2025)
Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
by: Huang, Xiusheng, et al.
Published: (2025)
by: Huang, Xiusheng, et al.
Published: (2025)
Polar probe linearly decodes semantic structures from LLMs
by: Diego-Simón, Pablo J., et al.
Published: (2026)
by: Diego-Simón, Pablo J., et al.
Published: (2026)
A polar coordinate system represents syntax in large language models
by: Diego-Simón, Pablo, et al.
Published: (2024)
by: Diego-Simón, Pablo, et al.
Published: (2024)
Unsupervised lexicon learning from speech is limited by representations rather than clustering
by: Slabbert, Danel, et al.
Published: (2025)
by: Slabbert, Danel, et al.
Published: (2025)
Community size rather than grammatical complexity better predicts Large Language Model accuracy in a novel Wug Test
by: Pantelidou, Nikoleta, et al.
Published: (2025)
by: Pantelidou, Nikoleta, et al.
Published: (2025)
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
by: Cho, Youngjae, et al.
Published: (2024)
by: Cho, Youngjae, et al.
Published: (2024)
Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics
by: Riegler, Michael A., et al.
Published: (2025)
by: Riegler, Michael A., et al.
Published: (2025)
Efficient Continual Learning in Neural Machine Translation: A Low-Rank Adaptation Approach
by: Carrión, Salvador, et al.
Published: (2025)
by: Carrión, Salvador, et al.
Published: (2025)
Dual Precision Quantization for Efficient and Accurate Deep Neural Networks Inference
by: Gafni, Tomer, et al.
Published: (2025)
by: Gafni, Tomer, et al.
Published: (2025)
Hebrew Diacritics Restoration using Visual Representation
by: Elboher, Yair, et al.
Published: (2025)
by: Elboher, Yair, et al.
Published: (2025)
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing
by: Hong, Mengze, et al.
Published: (2024)
by: Hong, Mengze, et al.
Published: (2024)
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
by: Wang, Yubo, et al.
Published: (2025)
by: Wang, Yubo, et al.
Published: (2025)
Disentanglement and Compositionality of Letter Identity and Letter Position in Variational Auto-Encoder Vision Models
by: Bianchi, Bruno, et al.
Published: (2024)
by: Bianchi, Bruno, et al.
Published: (2024)
Semantic Codebooks as Effective Priors for Neural Speech Compression
by: Bai, Liuyang, et al.
Published: (2025)
by: Bai, Liuyang, et al.
Published: (2025)
An Information-Theoretic Approach to Identifying Formulaic Clusters in Textual Data
by: Yoffe, Gideon, et al.
Published: (2025)
by: Yoffe, Gideon, et al.
Published: (2025)
Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection
by: Wang, Haochun, et al.
Published: (2026)
by: Wang, Haochun, et al.
Published: (2026)
Toward Ethical AI Through Bayesian Uncertainty in Neural Question Answering
by: Di Sipio, Riccardo
Published: (2025)
by: Di Sipio, Riccardo
Published: (2025)
Eliciting the Priors of Large Language Models using Iterated In-Context Learning
by: Zhu, Jian-Qiao, et al.
Published: (2024)
by: Zhu, Jian-Qiao, et al.
Published: (2024)
MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning
by: He, Jie, et al.
Published: (2025)
by: He, Jie, et al.
Published: (2025)
Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing
by: Kang, Jeongwoo, et al.
Published: (2024)
by: Kang, Jeongwoo, et al.
Published: (2024)
Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains
by: Zhang, Taolin, et al.
Published: (2026)
by: Zhang, Taolin, et al.
Published: (2026)
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks
by: He, Jiayi, et al.
Published: (2024)
by: He, Jiayi, et al.
Published: (2024)
Teaching Small Language Models to Learn Logic through Meta-Learning
by: Bertolazzi, Leonardo, et al.
Published: (2025)
by: Bertolazzi, Leonardo, et al.
Published: (2025)
Semantic Scaling: Bayesian Ideal Point Estimates with Large Language Models
by: Burnham, Michael
Published: (2024)
by: Burnham, Michael
Published: (2024)
Bayesian Statistical Modeling with Predictors from LLMs
by: Franke, Michael, et al.
Published: (2024)
by: Franke, Michael, et al.
Published: (2024)
MetaRM: Shifted Distributions Alignment via Meta-Learning
by: Dou, Shihan, et al.
Published: (2024)
by: Dou, Shihan, et al.
Published: (2024)
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
by: Heck, Michael, et al.
Published: (2024)
by: Heck, Michael, et al.
Published: (2024)
Prompt-MII: Meta-Learning Instruction Induction for LLMs
by: Xiao, Emily, et al.
Published: (2025)
by: Xiao, Emily, et al.
Published: (2025)
CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions
by: Levi, Matan, et al.
Published: (2024)
by: Levi, Matan, et al.
Published: (2024)
Model-Agnostic Meta Learning for Class Imbalance Adaptation
by: Rao, Hanshu, et al.
Published: (2026)
by: Rao, Hanshu, et al.
Published: (2026)
Improved Compositional Generalization by Generating Demonstrations for Meta-Learning
by: Spilsbury, Sam, et al.
Published: (2023)
by: Spilsbury, Sam, et al.
Published: (2023)
Advancing Text Classification with Large Language Models and Neural Attention Mechanisms
by: Lyu, Ning, et al.
Published: (2025)
by: Lyu, Ning, et al.
Published: (2025)
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks
by: Rugina, Ileana, et al.
Published: (2020)
by: Rugina, Ileana, et al.
Published: (2020)
Similar Items
-
MapFormer: Self-Supervised Learning of Cognitive Maps with Input-Dependent Positional Embeddings
by: Rambaud, Victor, et al.
Published: (2025) -
Metric Learning Encoding Models: A Multivariate Framework for Interpreting Neural Representations
by: Jalouzot, Louis, et al.
Published: (2024) -
A Neural Model for Word Repetition
by: Dager, Daniel, et al.
Published: (2025) -
What Makes Two Language Models Think Alike?
by: Salle, Jeanne, et al.
Published: (2024) -
Probing Syntax in Large Language Models: Successes and Remaining Challenges
by: Diego-Simón, Pablo J., et al.
Published: (2025)