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Found 5 papers, 1 papers with code
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting
RONIN conditions the inpainting process with the predicted ID label, drawing the input object closer to the in-distribution domain.
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization
Pareto Set Learning (PSL) is a promising approach for approximating the entire Pareto front in multi-objective optimization (MOO) problems.
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment
Question answering (QA) in law is a challenging problem because legal documents are much more complicated than normal texts in terms of terminology, structure, and temporal and logical relationships.
Law to Binary Tree -- An Formal Interpretation of Legal Natural Language
First, legal reasoning can be performed on the basis of the binary tree representation of the regulations.
Enhancing Few-shot Image Classification with Cosine Transformer
This might result in a significant difference between support and query samples, therefore undermining the performance of few-shot algorithms.
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