Task-routed mixture-of-experts with cognitive appraisal auxiliary tasks improves performance on implicit sentiment analysis.
Multitask learning
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Under weak spherical symmetry and noisy data, SVD-based selection on the canonical dependence matrix yields asymptotically optimal error exponents up to a residual depending on symmetry deviation and noise levels.
ESPRESSO achieves over 0.99 true positive rate at 10^{-3} false positive rate for stepping-stone intrusion detection on synthetic data for SSH, SOCAT, ICMP, DNS and mixed protocols, outperforming DeepCoFFEA while also enabling chain length prediction.
citing papers explorer
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Task-Routed Mixture-of-Experts with Cognitive Appraisal for Implicit Sentiment Analysis
Task-routed mixture-of-experts with cognitive appraisal auxiliary tasks improves performance on implicit sentiment analysis.
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Universal Feature Selection with Noisy Observations and Weak Symmetry Conditions
Under weak spherical symmetry and noisy data, SVD-based selection on the canonical dependence matrix yields asymptotically optimal error exponents up to a residual depending on symmetry deviation and noise levels.
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Tracing the Chain: Deep Learning for Stepping-Stone Intrusion Detection
ESPRESSO achieves over 0.99 true positive rate at 10^{-3} false positive rate for stepping-stone intrusion detection on synthetic data for SSH, SOCAT, ICMP, DNS and mixed protocols, outperforming DeepCoFFEA while also enabling chain length prediction.