Results 71 to 80 of about 1,532,491 (274)
Due to its distributed methodology alongside its privacy-preserving features, Federated Learning (FL) is vulnerable to training time adversarial attacks. In this study, our focus is on backdoor attacks in which the adversary's goal is to cause targeted misclassifications for inputs embedded with an adversarial trigger while maintaining an acceptable ...
Aramoon, Omid +3 more
openaire +2 more sources
Meta-Learning across Meta-Tasks for Few-Shot Learning
, 2020 Existing meta-learning based few-shot learning (FSL) methods typically adopt an episodic training strategy whereby each episode contains a meta-task. Across episodes, these tasks are sampled randomly and their relationships are ignored. In this paper, we argue that the inter-meta-task relationships should be exploited and those tasks are sampled ...
Fei, Nanyi +5 more
openaire +2 more sources
Photoswitchable Conductive Metal–Organic Frameworks
Advanced Functional Materials, EarlyView.A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu +5 more
wiley +1 more source
MetaZero: A Novel Meta-Learning Method Suitable for Generalized Zero-Shot Learning
IEEE AccessGeneralized zero-shot learning (GZSL) aims to recognize objects from both seen and unseen classes, when only the labeled examples from seen classes are provided.
Zeqing Zhang +4 more
doaj +1 more source
Experiment Databases: Creating a New Platform for Meta-Learning Research [PDF]
, 2008 Many studies in machine learning try to investigate what makes an algorithm succeed or fail on certain datasets. However, the field is still evolving relatively quickly, and new algorithms, preprocessing methods, learning tasks and evaluation procedures ...
Blockeel, Hendrik +3 more
core +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Advanced Functional Materials, EarlyView.Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao +8 more
wiley +1 more source
Animal classification considering infrared few-shot open-set recognition
Cogent EngineeringThis paper introduced the novel Infrared Few-shot Open-set Recognition (IFOR) framework for effective nighttime wildlife surveillance using limited infrared images.
Koki Kishi +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
Online meta-learned gradient norms for active learning in science and technology
Machine Learning: Science and TechnologyAcquisition of scientific data can be expensive and time-consuming. Active learning is a solution to reduce costs and time by guiding the selection of scientific experiments.
Haiqi Dong +2 more
doaj +1 more source