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09/21/2023
AceGPT, Localizing Large Language Models in Arabic
This paper explores the imperative need and methodology for developing a...
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08/02/2023
More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes
CLIP, as a foundational vision language model, is widely used in zero-sh...
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05/25/2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
Given the growing concerns about fairness in machine learning and the im...
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04/10/2023
On the Possibilities of AI-Generated Text Detection
Our work focuses on the challenge of detecting outputs generated by Larg...
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06/26/2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
The increasing reliance on ML models in high-stakes tasks has raised a m...
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03/07/2022
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data
Traffic accident forecasting is a significant problem for transportation...
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11/10/2021
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
Machine learning models that are developed to be invariant under certain...
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07/19/2021
Adaptive Transfer Learning on Graph Neural Networks
Graph neural networks (GNNs) is widely used to learn a powerful represen...
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09/20/2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
The neural attention mechanism plays an important role in many natural l...
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05/03/2020
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints
Text generation from a knowledge base aims to translate knowledge triple...
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01/10/2020
