conftrace_

negative transfer

87 papers

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NT

Co-occurring keywords

transfer learning (5449) multi-task learning (2575) domain adaptation (4595) graph neural network (3962) knowledge transfer (648) partial domain adaptation (12) feature representation (505) knowledge distillation (3725) representation learning (6206) federated learning (1333)

Papers

From Cognitive Priors to Instance Semantics: A Unified Framework for Multi-task Affective Computing WACV 2026
Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data AAAI 2026
Quantifying Cross-Lingual Interference: Algorithmic Standardization of Kamtapuri in Large Language Models EACL 2026
Not All Distortions Are Created Equal: Distortion-Selective Domain Adaptation for Point Cloud Quality Assessment AAAI 2026
Learning What to Ignore: Mitigating Negative Transfer in Medical Knowledge Fusion via Clinical Task-Adaptive Selection ACL 2026
Towards Continually-Evolving AI: Selective and Expandable Multimodal Memory System AAAI 2026
From Blind Transfer to Wise Selection: Prototype-Driven Neighbor-Domain Adaptation for Fake News Detection AAAI 2026
Curse of bilinguality: Evaluating monolingual and bilingual language models on Chinese linguistic benchmarks ACL 2025
Graceful Forgetting in Generative Language Models EMNLP 2025
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation AAAI 2025
Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning ICCV 2025
DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection AAAI 2025
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning ACL 2025
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025
Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning ICCV 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers JMLR 2025
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift AAAI 2025
ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning AAAI 2025
MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception CVPR 2025
Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations AAAI 2025
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning ACL 2024
NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes IJCAI 2024
Quantifying Task Priority for Multi-Task Optimization CVPR 2024
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training CVPR 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024