research
∙
08/23/2023
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
Semi-Supervised Learning (SSL) under class distribution mismatch aims to...
share
research
∙
03/28/2022
FLDP: Flexible strategy for local differential privacy
Local differential privacy (LDP), a technique applying unbiased statisti...
research
∙
01/07/2022
An Accelerator for Rule Induction in Fuzzy Rough Theory
Rule-based classifier, that extract a subset of induced rules to efficie...
research
∙
12/28/2020
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
The proliferation of massive open online courses (MOOCs) demands an effe...
research
∙
12/14/2020
COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking
Expert finding, a popular service provided by many online websites such ...
research
∙
12/13/2020
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
Cold-start problem is a fundamental challenge for recommendation tasks. ...
research
∙
10/29/2019
RAKA:Co-training of Relationships and Attributes for Cross-lingual Knowledge Alignment
Cross-lingual knowledge alignment suffers from the attribute heterogenei...
research
∙
12/25/2017
HelPal: A Search System for Mobile Crowd Service
Proliferation of ubiquitous mobile devices makes location based services...
research
∙
10/23/2017