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conftrace_

negative transfer

100 papers

NT

Papers

Capacity and Redundancy Trade-offs in Multi-Task Learning UAI 2026 Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation CVPR 2026 From Blind Transfer to Wise Selection: Prototype-Driven Neighbor-Domain Adaptation for Fake News Detection AAAI 2026 From Cognitive Priors to Instance Semantics: A Unified Framework for Multi-task Affective Computing WACV 2026 Learning What to Ignore: Mitigating Negative Transfer in Medical Knowledge Fusion via Clinical Task-Adaptive Selection ACL 2026 Not All Distortions Are Created Equal: Distortion-Selective Domain Adaptation for Point Cloud Quality Assessment AAAI 2026 Quantifying Cross-Lingual Interference: Algorithmic Standardization of Kamtapuri in Large Language Models EACL 2026 Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data AAAI 2026 Towards Continually-Evolving AI: Selective and Expandable Multimodal Memory System AAAI 2026 Understanding Task Transfer in Vision-Language Models CVPR 2026 Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency AISTATS 2025 ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning AAAI 2025 Curse of bilinguality: Evaluating monolingual and bilingual language models on Chinese linguistic benchmarks ACL 2025 DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection AAAI 2025 Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations AAAI 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning ACL 2025 Graceful Forgetting in Generative Language Models EMNLP 2025 GraphBridge: Towards Arbitrary Transfer Learning in GNNs ICLR 2025 MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception CVPR 2025 Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation AAAI 2025 Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025 Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline ICLR 2025 Proxy-informed Bayesian transfer learning with unknown sources UAI 2025 Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning ICCV 2025