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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Rahul Gupta

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Book Open access Aug 2026

Learning to Doubt: Forgetting Aware Learning for Neural Networks

It is shown that FAL provides complementary benefits to Confidence-Aware Learning (CAL) using temporal instability as a regularization signal yielding a more self-aware model, and that combining FAL and CAL with focal loss yields the strongest calibration in this study.

Awanish Kumar, Soumyadeep Ghosh, Akshita Sharma et al. · 0 citations
Book Open access Aug 2026

Learning to Doubt: Forgetting Aware Learning for Neural Networks

Modern neural networks are often miscalibrated, assigning high confidence to predictions they have not learned stably, which leads to overconfident errors under noise, imbalance, and distribution shift. We propose Forgetting-Aware Learning (FAL) using a simple ranking regularizer that leverages forgetting events during...

Awanish Kumar, Soumyadeep Ghosh, Akshita Sharma et al. · 0 citations

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