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05/23/2023
Eliminating Spurious Correlations from Pre-trained Models via Data Mixing
Machine learning models pre-trained on large datasets have achieved rema...
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05/22/2023
Text-to-SQL Error Correction with Language Models of Code
Despite recent progress in text-to-SQL parsing, current semantic parsers...
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05/17/2023
Mitigating Group Bias in Federated Learning: Beyond Local Fairness
The issue of group fairness in machine learning models, where certain su...
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11/08/2021
Visual Question Answering based on Formal Logic
Visual question answering (VQA) has been gaining a lot of traction in th...
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03/23/2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming
Relational Reinforcement Learning (RRL) can offers various desirable fea...
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06/08/2019
Inductive Logic Programming via Differentiable Deep Neural Logic Networks
We propose a novel paradigm for solving Inductive Logic Programming (ILP...
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04/02/2019