Transferring Domain Knowledge with an Adviser in Continuous Tasks

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PAKDD (25. : 2021 : Online) Advances in knowledge discovery and data mining ; Part 3
1. Verfasser:	Wiesinghe, Rukshan (VerfasserIn)
Weitere Verfasser:	Vithanage, Kasun (VerfasserIn), Tissera, Dumindu (VerfasserIn), Xavier, Alex (VerfasserIn), Fernando, Subha (VerfasserIn), Samarawickrama, Jayathu (VerfasserIn)
Pages:	3
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2021
Schlagworte:
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Bestellen

Titel	Jahr	Verfasser
RW-GCN: Training Graph Convolution Networks with Biased Random Walk for Semi-supervised Classification	2021	Li, Yinzhe
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models	2021	Nayyeri, Mojtaba
Self-supervised Graph Representation Learning with Variational Inference	2021	Liao, Zihan
SST-GNN: Simplified Spatio-Temporal Traffic Forecasting Model Using Graph Neural Network	2021	Roy, Amit
Transferring Domain Knowledge with an Adviser in Continuous Tasks	2021	Wiesinghe, Rukshan
Learning Discriminative Features Using Multi-label Dual Space	2021	Braytee, Ali
A Multi-task Kernel Learning Algorithm for Survival Analysıs	2021	Meng, Zizhuo
Rule Injection-Based Generative Adversarjal Imitation Learning for Knowledge Graph Reasoning	2021	Wang, Sheng
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction	2021	Yang, Tianchi
SaGCN: Structure-Aware Graph Convolution Network for Document-Level Relation Extraction	2021	Yang, Shuangji
Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction	2021	Cui, Li
Episode Adaptive Embedding Networks for Few-Shot Learning	2021	Liu, Fangbing
Manifold Approximation and Projection by Maximizing Graph Information	2021	Fatemi, Bahareh
Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction	2021	Lyu, Zhiheng
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach	2021	Huang, Weipeng
AutoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering	2021	Liu, Yue
Quality Control for Hierarchical Classification with Incomplete Annotations	2021	Enomoto, Masafumi
A Compressed and Accelerated SegNet for Plant Leaf Disease Segmentation: A Differential Evolution Based Approach	2021	Agarwal, Mohit
Meta-data Augmentation Based Search Strategy Through Generative Adversarial Network for AutoML Model Selection	2021	Liu, Yue
Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function	2021	Nasalwai, Nikhil

Alle Artikel auflisten