conftrace_

adaptive weighting

30 papers

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Co-occurring keywords · papers mentioning both

large language model (3) multimodal learning (3) neural machine translation (3) convolutional neural network (2) label noise (2) class imbalance (2) ensemble learning (2) neural network training (2) contrastive learning (2) representation learning (2)

Papers

AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness WACV 2026 A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning AAAI 2026 Frequency-Aware Flow Matching for High-Quality Image Generation CVPR 2026 Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration AAAI 2026 Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs ACL 2026 CAMER: Contribution-Aware Multimodal Emotion Recognition Interspeech 2025 Dll5143A@NLU of Devanagari Script Languages 2025: Detection of Hate Speech and Targets Using Hierarchical Attention Network COLING 2025 EA-KD: Entropy-based Adaptive Knowledge Distillation ICCV 2025 Navigating Label Ambiguity for Facial Expression Recognition in the Wild AAAI 2025 Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025 A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging ICLR 2024 Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition CVPR 2024 Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction EMNLP 2022 Fairness with Adaptive Weights ICML 2022 Generalized Ambiguity Decomposition for Ranking Ensemble Learning JMLR 2022 Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity EMNLP 2022 SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models SemEval 2022 Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data ICML 2022 Uncertainty-aware pseudo-labeling for quantum calculations UAI 2022 A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification IJCAI 2021 Bridging the Imitation Gap by Adaptive Insubordination NeurIPS 2021 Filter Grafting for Deep Neural Networks CVPR 2020 Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020 Token-level Adaptive Training for Neural Machine Translation EMNLP 2020 Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology CVPR 2019