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Found 8 papers, 1 papers with code
Generalized Category Discovery with Large Language Models in the Loop
Then we propose a Scalable Query strategy to allow LLMs to choose true neighbors of the selected samples from multiple candidate samples.
Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels
To improve model generalization with ordinal information, we propose a novel meta ordinal regression forest (MORF) method for medical image classification with ordinal labels, which learns the ordinal relationship through the combination of convolutional neural network and differential forest in a meta-learning framework.
Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules
Recently, an unsure data model (UDM) was proposed to incorporate those unsure nodules by formulating this problem as an ordinal regression, showing better performance over traditional binary classification.
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
We propose a novel ordinal regression approach, termed Convolutional Ordinal Regression Forest or CORF, for image ordinal estimation, which can integrate ordinal regression and differentiable decision trees with a convolutional neural network for obtaining precise and stable global ordinal relationships.
Look globally, age locally: Face aging with an attention mechanism
Face aging is of great importance for cross-age recognition and entertainment-related applications.
Modeling e-Learners' Cognitive and Metacognitive Strategy in Comparative Question Solving
from "The C Programming Language" course and "What are similarities and differences between packet switching and circuit switching?"
Ordinal Distribution Regression for Gait-based Age Estimation
This paper proposes an ordinal distribution regression with a global and local convolutional neural network for gait-based age estimation.
Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression
The latent vector preserves personalized face features and the age controls facial aging and rejuvenation.
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