aiBACKGROUND
NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-
BACKGROUND
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9 Jul
NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts
REPORT · HOW · ArXiv CS.AI
Other feeds and industry voices
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
REPORT · WHAT · ArXiv CS.AIOPEN STORY
14 Apr
SpecMoE: A Fast and Efficient Mixture-of-Experts Inference via Self-Assisted Speculative Decoding
arXiv:2604.10152v1 Announce Type: new Abstract: The Mixture-of-Experts (MoE) architecture has emerged as a promising approach to mitigate the rising computational costs of large
REPORT · HOW · ArXiv CS.AIOPEN STORY
20 Mar
Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
arXiv:2603.19136v1 Announce Type: cross Abstract: Stock markets exhibit regime-dependent behavior where prediction models optimized for stable conditions often fail during
REPORT · WHERE · ArXiv CS.AIOPEN STORY
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ArXiv CS.AI
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