conftrace_

classifier learning

18 papers

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Co-occurring keywords

representation learning (6206) privileged information (38) deep neural network (1803) long-tailed distribution (142) label noise (498) class imbalance (555) weakly supervised learning (1328) feature learning (1311) multi-task learning (2575) zero-shot learning (3650)

Papers

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