Summary of Abstracted Gaussian Prototypes For One-shot Concept Learning, by Chelsea Zou and Kenneth J. Kurtz
Abstracted Gaussian Prototypes for One-Shot Concept Learningby Chelsea Zou, Kenneth J. KurtzFirst submitted to arxiv…
Abstracted Gaussian Prototypes for One-Shot Concept Learningby Chelsea Zou, Kenneth J. KurtzFirst submitted to arxiv…
Toward Robust Early Detection of Alzheimer’s Disease via an Integrated Multimodal Learning Approachby Yifei Chen,…
Assessing Large Language Models for Online Extremism Research: Identification, Explanation, and New Knowledgeby Beidi Dong,…
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learningby Bingchen YanFirst submitted to arxiv on:…
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptationby Jie Feng, Tianshu Zhang,…
Continual-learning-based framework for structural damage recognitionby Jiangpeng Shu, Jiawei Zhang, Reachsak Ly, Fangzheng Lin, Yuanfeng…
LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagationby Haichuan Hu, Yuhan Sun, Quanjun…
Brain-inspired Artificial Intelligence: A Comprehensive Reviewby Jing Ren, Feng XiaFirst submitted to arxiv on: 27…
Flexible categorization using formal concept analysis and Dempster-Shafer theoryby Marcel Boersma, Krishna Manoorkar, Alessandra Palmigiano,…
Mamba2MIL: State Space Duality Based Multiple Instance Learning for Computational Pathologyby Yuqi Zhang, Xiaoqian Zhang,…