gradient balancing

A Multi-Task Learning Approach to Linear Multivariate Forecasting AISTATS 2025 Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization ICLR 2025 Two Losses, One Goal: Balancing Conflict Gradients for Semi-supervised Semantic Segmentation ICCV 2025 Dynamic Rescaling for Training GNNs NeurIPS 2024 Long-Tailed Learning as Multi-Objective Optimization AAAI 2024 Coordinating Distributed Example Orders for Provably Accelerated Training NeurIPS 2023 Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NeurIPS 2023 Heterogeneous Forgetting Compensation for Class-Incremental Learning ICCV 2023 Improvable Gap Balancing for Multi-Task Learning UAI 2023 Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once CVPR 2023 GraB: Finding Provably Better Data Permutations than Random Reshuffling NeurIPS 2022 Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection CVPR 2021 Model-Agnostic Fast Adaptive Multi-Objective Balancing Algorithm for Multilingual Automatic Speech Recognition Model Training Interspeech 2021 MTAdam: Automatic Balancing of Multiple Training Loss Terms EMNLP 2021 Seesaw Loss for Long-Tailed Instance Segmentation CVPR 2021 Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout NeurIPS 2020