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Concept Alignment

Concept Alignment aims to align the learned representations or concepts within a model with the intended or target concepts. It involves adjusting the model's parameters or training process to ensure that the learned concepts accurately reflect the underlying patterns in the data.

Papers

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Showing 26–36 of 36 papers

TitleStatusHype
Concept Alignment as a Prerequisite for Value Alignment—0
NEUCORE: Neural Concept Reasoning for Composed Image Retrieval—0
Language-based Action Concept Spaces Improve Video Self-Supervised Learning—0
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images—0
CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained KnowledgeCode0
Joint covariate-alignment and concept-alignment: a framework for domain generalizationCode0
Align-smatch: A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing based on Alignment of Concept and Relation—0
Grammar-Based Concept Alignment for Domain-Specific Machine Translation—0
Discovery of Natural Language Concepts in Individual Units of CNNsCode0
Natural Language Detectors Emerge in Individual Neurons—0
Getting the Most out of AMR Parsing—0
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