Results 71 to 80 of about 252,836 (257)

Meta-Learning with Adjoint Methods

CoRR, 2021
Model Agnostic Meta Learning (MAML) is widely used to find a good initialization for a family of tasks. Despite its success, a critical challenge in MAML is to calculate the gradient w.r.t. the initialization of a long training trajectory for the sampled tasks, because the computation graph can rapidly explode and the computational cost is very ...
Shibo Li, Zheng Wang 0042, Akil Narayan 0001, Robert Michael Kirby, Shandian Zhe   +4 more
openaire   +3 more sources

Attribute-Guided Generative Adversarial Network With Improved Episode Training Strategy for Few-Shot SAR Image Generation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Deep-learning-based models usually require a large amount of data for training, which guarantees the effectiveness of the trained model. Generative models are no exception, and sufficient training data are necessary for the diversity of generated images.
Yuanshuang Sun, Yinghua Wang, Liping Hu, Yuanyuan Huang, Hongwei Liu, Siyuan Wang, Chen Zhang   +6 more
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

IMETA-GNN: Meta Learning-Based Cold Start Optimization for Recommendation System

IEEE Access
Recommendation systems are becoming essential components of contemporary online goods and services, and they significantly affect customer satisfaction.
Nida Siddique, Amna Zafar, Beenish Ayesha Akram, Muhammad Waseem, Sajid Iqbal, Ahmad A. Al-Yahya, Muhammad Nabeel Asghar, Abdullah Abdulrrehman Alaulamie   +7 more
doaj   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Neuromodulated Meta-Learning

CoRR
Humans excel at adapting perceptions and actions to diverse environments, enabling efficient interaction with the external world. This adaptive capability relies on the biological nervous system (BNS), which activates different brain regions for distinct tasks.
Jingyao Wang, Huijie Guo, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Hui Xiong 0001, Gang Hua 0001   +6 more
openaire   +2 more sources

A Survey of Multi-Label Text Classification Under Few-Shot Scenarios

Applied Sciences
Multi-label text classification is a fundamental and important task in natural language processing, with widespread applications in specialized domains such as sentiment analysis, legal document classification, and medical coding.
Wenlong Hu, Qiang Fan, Hao Yan, Xinyao Xu, Shan Huang, Ke Zhang   +5 more
doaj   +1 more source

Liquid Phase Transmission Electron Microscopy: A Window into the Early Stages of Complex Material Formation

Advanced Functional Materials, EarlyView.
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum, Vinavadini Ramnarain, Nathaly Ortiz Peña, Dris Ihiawakrim, Clément Sanchez, Ovidiu Ersen   +5 more
wiley   +1 more source

3D Printing Innovations in Polymeric Porous and Patterned Architecture

Advanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil, Sri Vaishnavi Thummalapalli, Clarissa Westover, Arunachalam Ramanathan, M. Taylor Sobzcak, Roumika Patil, Qixuan Xiang, Tiantian Li, Sui Yang, Timothy E. Long, Hongyue Sun, Xianqiao Wang, Yang Liu, Kenan Song   +13 more
wiley   +1 more source

YOLO-MR: Meta-Learning-Based Lesion Detection Algorithm for Resolving Data Imbalance

IEEE Access
The early detection and precise diagnosis of gastrointestinal diseases, particularly gastric cancer, play a vital role in improving patient survival rates and treatment outcomes.
Eunseo Lee, Jae-Seoung Kim, Dong Kyun Park, Taegkeun Whangbo   +3 more
doaj   +1 more source