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Found 6 papers, 2 papers with code
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
Algorithmic recourse recommends a cost-efficient action to a subject to reverse an unfavorable machine learning classification decision.
Bellman Optimal Stepsize Straightening of Flow-Matching Models
This paper introduces Bellman Optimal Stepsize Straightening (BOSS) technique for distilling flow-matching generative models: it aims specifically for a few-step efficient image sampling while adhering to a computational budget constraint.
Ranked #1 on
Image Generation
on LSUN Churches 256 x 256
(clean-FID metric)
Multi-dimensional data refining strategy for effective fine-tuning LLMs
Data is a cornerstone for fine-tuning large language models, yet acquiring suitable data remains challenging.
AI-assisted Learning for Electronic Engineering Courses in High Education
This study evaluates the efficacy of ChatGPT as an AI teaching and learning support tool in an integrated circuit systems course at a higher education institution in an Asian country.
Efficient Failure Pattern Identification of Predictive Algorithms
The recommendation algorithm is conceptualized as a stochastic sampler that, in each round, queries the annotators a subset of samples for their true labels and obtains the feedback information on whether the samples are misclassified.
Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting
Medical segmentation is performed to determine the bounds of regions of interest (ROI) prior to surgery.
