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07/31/2023
A Pre-trained Data Deduplication Model based on Active Learning
In the era of big data, the issue of data quality has become increasingl...
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08/20/2022
C^2IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection
Multi-view unsupervised feature selection (MUFS) has been demonstrated a...
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01/06/2022
Self-Training Vision Language BERTs with a Unified Conditional Model
Natural language BERTs are trained with language corpus in a self-superv...
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12/27/2020
Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection
Unsupervised feature selection is an important method to reduce dimensio...
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07/01/2020
Learning unbiased zero-shot semantic segmentation networks via transductive transfer
Semantic segmentation, which aims to acquire a detailed understanding of...
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06/16/2020
Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer
Fine-grained aspect extraction is an essential sub-task in aspect based ...
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04/17/2020
Incorporating Multiple Cluster Centers for Multi-Label Learning
Multi-label learning deals with the problem that each instance is associ...
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03/31/2020
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning
Zero-Shot Learning (ZSL) aims to learn recognition models for recognizin...
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08/26/2019
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
We propose a new approach, called self-motivated pyramid curriculum doma...
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04/21/2019
