negative transfer

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning ICCV 2025 Selective Task Group Updates for Multi-Task Optimization ICLR 2025 Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data ICML 2025 Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift AAAI 2025 Bayesian Active Learning in the Presence of Nuisance Parameters UAI 2024 Bits and Pieces: Investigating the Effects of Subwords in Multi-task Parsing across Languages and Domains COLING 2024 Federated Graph Learning for Cross-Domain Recommendation NeurIPS 2024 Geometry-Guided Domain Generalization for Monocular 3D Object Detection AAAI 2024 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 On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024 ProG: A Graph Prompt Learning Benchmark NeurIPS 2024 Quantifying Task Priority for Multi-Task Optimization CVPR 2024 STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation AAAI 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024 Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training CVPR 2024 Addressing Negative Transfer in Diffusion Models NeurIPS 2023 Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023 Concept-wise Fine-tuning Matters in Preventing Negative Transfer ICCV 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NeurIPS 2023 EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets CVPR 2023 Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract) AAAI 2023 Flaky Performances When Pretraining on Relational Databases (Student Abstract) AAAI 2023 ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning NeurIPS 2023 Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training WACV 2023