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06/14/2023
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer
In the pursuit of artificial general intelligence (AGI), we tackle Abstr...
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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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08/04/2022
Customs Import Declaration Datasets
Given the huge volume of cross-border flows, effective and efficient con...
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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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01/18/2022
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
Knowledge of the changing traffic is critical in risk management. Custom...
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11/02/2021
Classification of Goods Using Text Descriptions With Sentences Retrieval
The task of assigning and validating internationally accepted commodity ...
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09/29/2021
Customs Fraud Detection in the Presence of Concept Drift
Capturing the changing trade pattern is critical in customs fraud detect...
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06/01/2021
Responses to COVID-19 with Probabilistic Programming
The COVID-19 pandemic left its unique mark on the 21st century as one of...
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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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11/19/2019
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection
The performance of deep neural networks is significantly affected by how...
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04/04/2016