Results 91 to 100 of about 7,740,063 (200)

Prior guided deep difference meta-learner for fast adaptation to stylized segmentation

Machine Learning: Science and Technology
Radiotherapy treatment planning requires segmenting anatomical structures in various styles, influenced by guidelines, protocols, preferences, or dose planning needs.
Dan Nguyen, Anjali Balagopal, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve Jiang   +5 more
doaj   +1 more source

Teacher-Free Knowledge Distillation Based on Non-Progressive Meta-Learned Multi Ranking Selection

IEEE Access
Knowledge Distillation (KD) is the procedure of extracting useful information from a previously trained model using an algorithm. The successful distillation pulls up the distilling model accuracy.
Bing-Ru Jiang, Pin-Hsuan Ho, Syuan-Ting He, Albert S. Lin   +3 more
doaj   +1 more source

Efficient Variance Reduction for Meta-Learning

, 2022
Meta-learning tries to learn meta-knowledge from a large number of tasks. However, the stochastic meta-gradient can have large variance due to data sampling (from each task) and task sampling (from the whole task distribution), leading to slow ...
Kwok, James T., Yang, Hansi
core  

Informe de prácticas empresariales FENALCO seccional Meta y Llanos Orientales

, 2021
La seccional de Fenalco Meta cuenta con cinco áreas de trabajo, el área administrativa, el área de formación especializada, el área de coordinación de afiliados, el área de coordinación de eventos y, por último, el área comercial donde se encuentra el ...
Zamora Palomo, Andry Gimena
core  

Gobernación del Meta

, 2023
Se desarrollan las actividades formativas realizadas en la Dirección departamental para la gestión del riesgo de desastres de la Gobernación del Meta durante el periodo 2023-1, donde se aplicaron los conocimientos obtenidos en el proceso formativo de la ...
Castillo Borbón, Marialicia
core  

Contrastive meta-learning framework for few-shot cross-lingual text classification

网络与信息安全学报
Many security risk control issues, such as public opinion analysis in international scenarios, have been identified as text classification problems, which are challenging due to the involvement of multiple languages.
GUO Jianming, ZHAO Yuran, LIU Gongshen
doaj  

Informe de prácticas empresariales: Gobernación del Meta

, 2021
Apoyar la Gerencia PAN en las líneas de acción de la política pública de Seguridad Alimentaria y Nutricional del Departamento del Meta. En las herramientas adquiridas en el proceso académico con la Universidad del Meta me permite fortalecer las líneas de
Trujillo Cano, Maria Jose
core  

Enhancing Fault Diagnosis in Industrial Processes through Adversarial Task Augmented Sequential Meta-Learning

Applied Sciences
This study introduces the Adversarial Task Augmented Sequential Meta-Learning (ATASML) framework, designed to enhance fault diagnosis in industrial processes.
Dexin Sun, Yunsheng Fan, Guofeng Wang
doaj   +1 more source

Meta-learning with Heterogeneous Tasks

Meta-learning is a general approach to equip machine learning models with the ability to handle few-shot scenarios when dealing with many tasks. Most existing meta-learning methods work based on the assumption that all tasks are of equal importance. However, real-world applications often present heterogeneous tasks characterized by varying difficulty ...
Zhaofeng Si, Shu Hu, Kaiyi Ji, Siwei Lyu
openaire   +3 more sources

Meta-Learning Loss Functions for Deep Neural Networks

Humans can often quickly and efficiently solve new complex learning tasks given only a small set of examples. In contrast, modern artificially intelligent systems often require thousands or millions of observations in order to solve even the most basic ...
Christian Raymond (10261130)
core   +1 more source