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04/03/2023
Uncertainty Propagation in Node Classification
Quantifying predictive uncertainty of neural networks has recently attra...
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12/01/2022
Multi-Source Survival Domain Adaptation
Survival analysis is the branch of statistics that studies the relation ...
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07/10/2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions
With Human-Centric Research (HCR) we can steer research activities so th...
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05/25/2022
A Human-Centric Assessment Framework for AI
With the rise of AI systems in real-world applications comes the need fo...
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08/07/2021
Learning to Transfer with von Neumann Conditional Divergence
The similarity of feature representations plays a pivotal role in the su...
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11/02/2020
Modular-Relatedness for Continual Learning
In this paper, we propose a continual learning (CL) technique that is be...
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09/11/2020
Learning an Interpretable Graph Structure in Multi-Task Learning
We present a novel methodology to jointly perform multi-task learning an...
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09/11/2020
Towards Interpretable Multi-Task Learning Using Bilevel Programming
Interpretable Multi-Task Learning can be expressed as learning a sparse ...
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05/05/2020
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
We propose a simple yet powerful test statistic to quantify the discrepa...
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11/10/2019
TSK-Streams: Learning TSK Fuzzy Systems on Data Streams
The problem of adaptive learning from evolving and possibly non-stationa...
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11/14/2018
Efficient and Scalable Multi-task Regression on Massive Number of Tasks
Many real-world large-scale regression problems can be formulated as Mul...
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04/17/2018