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Beyond the Mean: Distribution-Aware Loss Functions for Bimodal Regression

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26 Mar

Beyond the Mean: Distribution-Aware Loss Functions for Bimodal Regression

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6.3

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20 Mar

Transformers Learn Robust In-Context Regression under Distributional Uncertainty

arXiv:2603.18564v1 Announce Type: cross Abstract: Recent work has shown that Transformers can perform in-context learning for linear regression under restrictive assumptions,

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20 Jun

Toward Calibrated Mixture-of-Experts Under Distribution Shift

arXiv:2606.20544v1 Announce Type: new Abstract: Calibration aligns a model's predictive uncertainty with the frequencies of its empirical outcomes and is important for

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31 Mar

Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI

arXiv:2603.26838v1 Announce Type: new Abstract: This paper surveys uncertainty-aware explainable artificial intelligence (UAXAI), examining how uncertainty is incorporated into

REPORT · HOW · ArXiv CS.AIOPEN STORY

9 Apr

QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis

arXiv:2604.05704v2 Announce Type: new Abstract: Multimodal Sentiment Analysis (MSA) aims to infer human sentiment from textual, acoustic, and visual signals. In real-world

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