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03/15/2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
Algorithmic fairness has become an important machine learning problem, e...
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10/13/2022
Self-explaining deep models with logic rule reasoning
We present SELOR, a framework for integrating self-explaining capabiliti...
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07/19/2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
This paper presents FedX, an unsupervised federated learning framework. ...
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05/03/2022
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
High-resolution daytime satellite imagery has become a promising source ...
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03/29/2021
Elsa: Energy-based learning for semi-supervised anomaly detection
Anomaly detection aims at identifying deviant instances from the normal ...
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12/21/2020
Improving Unsupervised Image Clustering With Robust Learning
Unsupervised image clustering methods often introduce alternative object...
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10/27/2020
Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning
Continual labeling of training examples is a costly task in supervised l...
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02/26/2020
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
Unsupervised embedding learning aims to extract good representation from...
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12/18/2019