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Dimitris Spathis

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024

Mar 14, 2024
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Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement

Jan 25, 2024
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Balancing Continual Learning and Fine-tuning for Human Activity Recognition

Jan 04, 2024
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Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data

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Jan 03, 2024
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FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing

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Sep 22, 2023
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The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models

Sep 12, 2023
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Latent Masking for Multimodal Self-supervised Learning in Health Timeseries

Jul 31, 2023
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UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction

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Jul 31, 2023
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Practical self-supervised continual learning with continual fine-tuning

Mar 30, 2023
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Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing

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Mar 27, 2023
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