Semi-Supervised Learning

Alternately Optimized Graph Neural Networks ICML 2023 Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection CVPR 2023 An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data AAAI 2023 A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation CVPR 2023 A Picture of the Space of Typical Learnable Tasks ICML 2023 Approximately Bayes-optimal pseudo-label selection UAI 2023 Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML 2023 A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images MIDL 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NeurIPS 2023 A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning ICCV 2023 Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture AISTATS 2023 A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech Interspeech 2023 Attend Who Is Weak: Pruning-Assisted Medical Image Localization Under Sophisticated and Implicit Imbalances WACV 2023 Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation CVPR 2023 Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models JMLR 2023 Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study EMNLP 2023 Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NeurIPS 2023 Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions ICML 2023 Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation CVPR 2023 Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data CVPR 2023 Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023 Bootstrapping Neural Relation and Explanation Classifiers ACL 2023 Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels WACV 2023 Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery CVPR 2023 Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm ICCV 2023