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Papers
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
NeurIPS 2024
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
ICLR 2024
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions
ICCV 2023
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning
WACV 2023
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
AAAI 2021
Parametric Instance Classification for Unsupervised Visual Feature learning
NeurIPS 2020
Online Learning from Data Streams with Varying Feature Spaces
AAAI 2019
Partial Label Learning with Unlabeled Data
IJCAI 2019
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data
CVPR 2017