A Contrastive Model with Local Factor Clustering for Semi-Supervised Few-Shot Learning
Mathematics, 2023 Learning novel classes with a few samples per class is a very challenging task in deep learning. To mitigate this issue, previous studies have utilized an additional dataset with extensively labeled samples to realize transfer learning.
Hexiu Lin +3 more
doaj +1 more source
Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning
, 2019 The recognition ability of human beings is developed in a progressive way. Usually, children learn to discriminate various objects from coarse to fine-grained with limited supervision.
Huang, Huaxi +4 more
core +1 more source
Homologous expression and purification of human HAX‐1 for structural studies
FEBS Open Bio, EarlyView.This research protocol provides detailed instructions for cloning, expressing, and purifying large quantities of the intrinsically disordered human HAX‐1 protein, N‐terminally fused to a cleavable superfolder GFP, from mammalian cells. HAX‐1 is predicted to undergo posttranslational modifications and to interact with membranes, various cellular ...
Mariana Grieben
wiley +1 more source
Dual Prototype Learning for Few Shot Semantic Segmentation
IEEE AccessFew-shot segmentation (FSS) is a challenging task because the same class of targets in the support and query images may have different scales, textures and background information.
Wenxuan Li, Shaobo Chen, Chengyi Xiong
doaj +1 more source
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
, 2019 When labeled training data is scarce, a promising data augmentation approach is to generate visual features of unknown classes using their attributes.
Akata, Zeynep +3 more
core +1 more source
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
FEBS Open Bio, EarlyView.This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
Hybrid attentive prototypical network for few-shot action recognition
Complex & Intelligent SystemsMost previous few-shot action recognition works tend to process video temporal and spatial features separately, resulting in insufficient extraction of comprehensive features.
Zanxi Ruan +3 more
doaj +1 more source
Plain Template Insertion: Korean-Prompt-Based Engineering for Few-Shot Learners
IEEE Access, 2022 Prompt-based learning is a method used for language models to interpret natural language by remembering the prior knowledge acquired and the training objective.
Jaehyung Seo +7 more
doaj +1 more source
Few-Shot Bayesian Imitation Learning with Logical Program Policies
, 2019 Humans can learn many novel tasks from a very small number (1--5) of demonstrations, in stark contrast to the data requirements of nearly tabula rasa deep learning methods.
Allen, Kelsey R. +4 more
core +1 more source