loss weighting

Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization ACL 2026 Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025 Token Weighting for Long-Range Language Modeling NAACL 2025 Active Learning With Task Consistency and Diversity in Multi-Task Networks WACV 2024 D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations AAAI 2024 On the Importance of Large Objects in CNN Based Object Detection Algorithms WACV 2024 Taming the Long Tail in Human Mobility Prediction NeurIPS 2024 Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting EMNLP 2023 Efficient Diffusion Training via Min-SNR Weighting Strategy ICCV 2023 Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract) AAAI 2023 A Dual Weighting Label Assignment Scheme for Object Detection CVPR 2022 Bidirectional Domain Adaptation Using Weighted Multi-Task Learning ACL 2021 Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing ICCV 2021 MTAdam: Automatic Balancing of Multiple Training Loss Terms EMNLP 2021 Towards Impartial Multi-task Learning ICLR 2021 Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics CVPR 2018