research
∙
06/16/2023
Dual Node and Edge Fairness-Aware Graph Partition
Fair graph partition of social networks is a crucial step toward ensurin...
share
research
∙
05/31/2023
Zero-Shot Automatic Pronunciation Assessment
Automatic Pronunciation Assessment (APA) is vital for computer-assisted ...
research
∙
03/04/2023
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
Many research efforts have been committed to unsupervised domain adaptat...
research
∙
02/09/2023
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery
Generalized Zero-Shot Learning (GZSL) and Open-Set Recognition (OSR) are...
research
∙
11/29/2022
Learning Antidote Data to Individual Unfairness
Fairness is an essential factor for machine learning systems deployed in...
research
∙
10/14/2022
Characterizing the Influence of Graph Elements
Influence function, a method from robust statistics, measures the change...
research
∙
10/04/2022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Clustering algorithms are widely used in many societal resource allocati...
research
∙
10/02/2022
Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings
In this paper, we consider a novel research problem, music-to-text synae...
research
∙
09/30/2022
Contrastive Graph Few-Shot Learning
Prevailing deep graph learning models often suffer from label sparsity i...
research
∙
07/10/2022
Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early Prediction
Corporate credit ratings issued by third-party rating agencies are quant...
research
∙
05/22/2022
Learnable Visual Words for Interpretable Image Recognition
To interpret deep models' predictions, attention-based visual cues are w...
research
∙
05/19/2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
Recently, contrastiveness-based augmentation surges a new climax in the ...
research
∙
04/03/2022
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
We consider the object recognition problem in autonomous driving using a...
research
∙
02/01/2022
Achieving Fairness at No Utility Cost via Data Reweighing
With the fast development of algorithmic governance, fairness has become...
research
∙
08/01/2021
IPOF: An Extremely and Excitingly Simple Outlier Detection Booster via Infinite Propagation
Outlier detection is one of the most popular and continuously rising top...
research
∙
07/21/2021
Economic Recession Prediction Using Deep Neural Network
We investigate the effectiveness of different machine learning methodolo...
research
∙
07/17/2021
STRODE: Stochastic Boundary Ordinary Differential Equation
Perception of time from sequentially acquired sensory inputs is rooted i...
research
∙
06/09/2021
Deep Clustering based Fair Outlier Detection
In this paper, we focus on the fairness issues regarding unsupervised ou...
research
∙
06/16/2020
Mining Label Distribution Drift in Unsupervised Domain Adaptation
Unsupervised domain adaptation targets to transfer task knowledge from l...
research
∙
04/09/2020
Learnable Subspace Clustering
This paper studies the large-scale subspace clustering (LSSC) problem wi...
research
∙
05/31/2019
Consensus Clustering: An Embedding Perspective, Extension and Beyond
Consensus clustering fuses diverse basic partitions (i.e., clustering re...
research
∙
05/07/2019
Spatially Constrained Generative Adversarial Networks for Conditional Image Generation
Image generation has raised tremendous attention in both academic and in...
research
∙
05/23/2018
Predictive Local Smoothness for Stochastic Gradient Methods
Stochastic gradient methods are dominant in nonconvex optimization espec...
research
∙
01/05/2018