Results 61 to 70 of about 83,974 (281)

A Topic-Agnostic Approach for Identifying Fake News Pages

, 2019
Fake news and misinformation have been increasingly used to manipulate popular opinion and influence political processes. To better understand fake news, how they are propagated, and how to counter their effect, it is necessary to first identify them ...
Almeida, Thais, Castelo, Sonia, Elghafari, Anas, Freire, Juliana, Nakamura, Eduardo, Pham, Kien, Santos, Aécio   +6 more
core   +1 more source

Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision [PDF]

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019
In this paper we frame the task of supervised relation classification as an instance of meta-learning. We propose a model-agnostic meta-learning protocol for training relation classifiers to achieve enhanced predictive performance in limited supervision settings.
Obamuyide, Abiola, Vlachos, Andreas
openaire   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

A review on NLP zero-shot and few-shot learning: methods and applications

Discover Applied Sciences
Zero-shot and few-shot learning techniques in natural language processing (NLP), this comprehensive review traces their evolution from traditional methods to cutting-edge approaches like transfer learning and pre-trained language models, semantic ...
G. Ramesh, Mahammad Sahil, Shashank A. Palan, Darshan Bhandary, Teli Abhishek Ashok, J. Shreyas, N. Sowjanya   +6 more
doaj   +1 more source

Content-Aware Few-Shot Meta-Learning for Cold-Start Recommendation on Portable Sensing Devices

Sensors
The cold-start problem in sequence recommendations presents a critical and challenging issue for portable sensing devices. Existing content-aware approaches often struggle to effectively distinguish the relative importance of content features and ...
Xiaomin Lv, Kai Fang, Tongcun Liu
doaj   +1 more source

Automatic Configuration of Federated Learning Client in Graph Classification using Genetic Algorithms [PDF]

Journal of Artificial Intelligence and Data Mining
With the increasing interconnectedness of communications and social networks, graph-based learning techniques offer valuable information extraction from data.
Mohammad Rezaei, Mohsen Rezvani, Morteza Zahedi   +2 more
doaj   +1 more source

Medical students' initial experiences of the dissection room and interaction with body donors: A qualitative study of professional identity formation, educational benefits, and the experience of Pasifika students

Anatomical Sciences Education, EarlyView.
Abstract The first experience of medical students in the dissecting room (DR) likely influences professional identity formation (PIF). Sparse data exist exploring how exposure to the DR and body donors without undertaking dissection influences PIF, or how culture may influence this experience.
Jacob Madgwick, Lynley Anderson, Jon Cornwall   +2 more
wiley   +1 more source

On the Global Optimality of Model-Agnostic Meta-Learning

, 2020
Model-agnostic meta-learning (MAML) formulates meta-learning as a bilevel optimization problem, where the inner level solves each subtask based on a shared prior, while the outer level searches for the optimal shared prior by optimizing its aggregated performance over all the subtasks.
Wang, Lingxiao, Cai, Qi, Yang, Zhuoran, Wang, Zhaoran   +3 more
openaire   +2 more sources

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Edge-Based Meta-ICP Algorithm for Reliable Camera Pose Estimation

IEEE Access, 2021
Camera pose estimation is crucial for 3D surface reconstruction and augmented reality applications. For systems equipped with RGB-D sensors, the corresponding transformation between frames can be effectively estimated using the iterative closest point ...
Chun-Wei Chen, Jonas Wang, Ming-Der Shieh   +2 more
doaj   +1 more source