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07/20/2023
Label Calibration for Semantic Segmentation Under Domain Shift
Performance of a pre-trained semantic segmentation model is likely to su...
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07/20/2023
Feed-Forward Source-Free Domain Adaptation via Class Prototypes
Source-free domain adaptation has become popular because of its practica...
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06/30/2023
Impact of Noise on Calibration and Generalisation of Neural Networks
Noise injection and data augmentation strategies have been effective for...
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05/12/2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Meta-learning and other approaches to few-shot learning are widely studi...
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04/16/2023
Fairness in AI and Its Long-Term Implications on Society
Successful deployment of artificial intelligence (AI) in various setting...
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07/15/2022
Feed-Forward Source-Free Latent Domain Adaptation via Cross-Attention
We study the highly practical but comparatively under-studied problem of...
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07/14/2022
PASHA: Efficient HPO with Progressive Resource Allocation
Hyperparameter optimization (HPO) and neural architecture search (NAS) a...
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07/15/2021
A Channel Coding Benchmark for Meta-Learning
Meta-learning provides a popular and effective family of methods for dat...
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06/19/2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
Gradient-based meta-learning and hyperparameter optimization have seen s...
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06/17/2021
Meta-Calibration: Meta-Learning of Model Calibration Using Differentiable Expected Calibration Error
Calibration of neural networks is a topical problem that is becoming inc...
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06/15/2020