Results 91 to 100 of about 10,284,296 (292)
Few-shot classification and few-shot semantic segmentation: analysis and future perspectives
, 2023 openLa classificazione e la semantic segmentation rappresentano due task fondamentali nell’ambito della Computer Vision, con l’obiettivo di identificare oggetti e regioni di interesse all’interno di un’immagine.
CAVINATO, ENRICO
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Advanced Functional Materials, EarlyView.This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio +7 more
wiley +1 more source
Few-Shot Unsupervised Domain Adaptation via Meta Learning
, 2022 Unsupervised domain adaptation (UDA) has raised a lot of interests in recent years. However, current UDA methods are still not capable enough in dealing with two issues: 1) the scarcity of labeled data in source domain and 2) the need of a general model ...
Chengmei Yang (20259105) +4 more
core +1 more source
Proxy Network for Few Shot Learning
CoRR, 2020 The use of a few examples for each class to train a predictive model that can be generalized to novel classes is a crucial and valuable research direction in artificial intelligence. This work addresses this problem by proposing a few-shot learning (FSL) algorithm called proxy network under the architecture of meta-learning.
Bin Xiao 0008 +2 more
openaire +4 more sources
Role of Structural Disorder on Phonon Transport and Thermal Conductivity in Li6PS5Br
Advanced Functional Materials, EarlyView.Solid electrolytes are fast ion and slow heat conductors. Although both transport properties are governed by lattice dynamics and atomic structure, their interplay remains poorly understood. Here, we study this interrelation in anion‐ordered and disordered Li6PS5Br.
Lukas Ketter +4 more
wiley +1 more source
Few-shot Classification Model Compression via School Learning
Few-shot classification (FSC) is a challenging task due to limitation in accessing training data. Recent methods often employ highly complex networks to obtain high-quality features, but this may not be suitable for resource-limited applications.
Yang, S +9 more
core +1 more source
Multidimensional‐Encoded High‐Fidelity Spectrometers With a Floating‐Base Bipolar Junction
Advanced Functional Materials, EarlyView.A floating‐base bipolar junction photodetector enables multidimensional spectral encoding through synergistic gate‐ and drain‐bias modulation of interfacial barrier matching. The resulting complementary spectral responses form a diverse, weakly correlated response matrix, enabling robust and high‐fidelity spectral reconstruction even at sub‐nanoampere ...
Sang‐Hyeon Lee +11 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source
Self‐Adaptive Gradient Interphase Enables Durable Solid‐State Lithium Metal Batteries
Advanced Functional Materials, EarlyView.This work presents a machine learning‐guided interfacial design that forms a self‐adaptive graded interphase on lithium metal anode. A B105M40 composite interlayer evolves into lithiophilic, porous, and fast‐ion‐conducting phases, enabling intimate contact, dendrite suppression, and uniform lithium deposition.
Hongmin Liu +9 more
wiley +1 more source
Learning Stable Task-Level Manifold for Few-Shot Learning
, 2023 Learning Stable Task-Level Manifold for Few-Shot ...
S Yu (7291433) +3 more
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