Results 101 to 110 of about 4,930,132 (374)
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification
, 2022 Recent years have witnessed great success in handling graph-related tasks with Graph Neural Networks (GNNs). Despite their great academic success, Multi-Layer Perceptrons (MLPs) remain the primary workhorse for practical industrial applications.
Gao, Zhangyang +6 more
core
Advanced Functional Materials, EarlyView.ABSTRACT Breathable membranes that reject chemical warfare agents (CWAs) are required for next‐generation protective apparel. A dual‐function graphene oxide (GO)‐polyamine architecture is introduced that addresses the long‐standing tradeoff between vapor transmission and CWA selectivity.
Hyungjun Kim +6 more
wiley +1 more source
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations [PDF]
, 2023 Kavel Rao +7 more
openalex +1 more source
Tissue Engineered Human Elastic Cartilage From Primary Auricular Chondrocytes for Ear Reconstruction
Advanced Functional Materials, EarlyView.Despite over three decades of research, no tissue‐engineered solution for auricular reconstruction in microtia patients has reached clinical translation. The key challenge lies in generating functional elastic cartilage ex vivo. Here, we integrate synergistic cell‐biomaterial strategies to engineer auricular grafts with mechanical and histological ...
Philipp Fisch +13 more
wiley +1 more source
Remote SensingIn data-scarcity scenarios, few-shot object detection (FSOD) methods exhibit a notable advantage in alleviating the over-fitting problem. Currently, research on FSOD in the field of remote sensing is advancing rapidly and FSOD methods based on the fine ...
Hao Guo +3 more
doaj +1 more source
Self-Distillation for Gaussian Process Regression and Classification
, 2023 We propose two approaches to extend the notion of knowledge distillation to Gaussian Process Regression (GPR) and Gaussian Process Classification (GPC); data-centric and distribution-centric.
Andersen, Lars Nørvang, Borup, Kenneth
core
Advanced Functional Materials, EarlyView.This work introduces UV‐curable poly(thio)urethane (PSU) thermosets as 4D printable scaffolds responsive to oxidative stress. PSU networks with 100 wt.% polypropylene glycol (PPG) effectively suppress inflammatory markers in microglial cells to basal values.
Xabier Lopez de Pariza +10 more
wiley +1 more source
MV–MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation
EntropyWe present a new method of self-supervised learning and knowledge distillation based on multi-views and multi-representations (MV–MR). MV–MR is based on the maximization of dependence between learnable embeddings from augmented and non-augmented views ...
Vitaliy Kinakh +2 more
doaj +1 more source
Compact Cloud Detection with Bidirectional Self-Attention Knowledge Distillation
Remote Sensing, 2020 The deep convolutional neural network has made significant progress in cloud detection. However, the compromise between having a compact model and high accuracy has always been a challenging task in cloud detection for large-scale remote sensing imagery.
Yajie Chai +6 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Synthesis and characterization of light‐responsive donor–acceptor Stenhouse adducts (DASA)‐coated chlorhexidine‐loaded silica nanoparticles. Such a controllable drug‐delivery system enables the release of the antimicrobial drug on demand and in consecutive cycles, thereby maintaining the concentration within the therapeutic window.
Michèle Clerc +9 more
wiley +1 more source