classifier learning

Learning from End User Data with Shuffled Differential Privacy over Kernel Densities ICLR 2025 Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification ICML 2024 Deconstructed Generation-Based Zero-Shot Model AAAI 2023 CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning CVPR 2022 Domain Adaptation under Open Set Label Shift NeurIPS 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NeurIPS 2022 Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification CVPR 2021 Improving Calibration for Long-Tailed Recognition CVPR 2021 Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization ICML 2021 NGC: A Unified Framework for Learning With Open-World Noisy Data ICCV 2021 BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition CVPR 2020 Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020 A Robust Zero-Sum Game Framework for Pool-based Active Learning AISTATS 2019 Few-Shot Image Recognition With Knowledge Transfer ICCV 2019 Classifier Learning With Prior Probabilities for Facial Action Unit Recognition CVPR 2018 Extracting Privileged Information from Untagged Corpora for Classifier Learning IJCAI 2018 Zero-shot Learning of Classifiers from Natural Language Quantification ACL 2018 Classifier Learning With Hidden Information CVPR 2015 On the Theory of Learnining with Privileged Information NeurIPS 2010 Semi-Supervised Multitask Learning NeurIPS 2007