Proposes JFPD with uncertainty and semantic trust weighting for reliable domain adaptation under distribution shift.
The journey of action recognition,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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DeGRe decouples offline exploration via a lookahead evaluator using beam search and cumulative regression to distill dense supervision into an online generator that approximates optimal reranking sequences with greedy decoding.
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Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation
Proposes JFPD with uncertainty and semantic trust weighting for reliable domain adaptation under distribution shift.
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DeGRe: Dense-supervised Generative Reranking for Recommendation
DeGRe decouples offline exploration via a lookahead evaluator using beam search and cumulative regression to distill dense supervision into an online generator that approximates optimal reranking sequences with greedy decoding.