semi-supervised learning

Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021 Contrastive Estimation Reveals Topic Posterior Information to Linear Models JMLR 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 Co-training for Commit Classification EMNLP 2021 Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models EACL 2021 Credal Self-Supervised Learning NeurIPS 2021 CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning CVPR 2021 Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation CVPR 2021 Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation CVPR 2021 Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning AAAI 2021 Dash: Semi-Supervised Learning with Dynamic Thresholding ICML 2021 Data Augmentation for Graph Neural Networks AAAI 2021 Data Augmentation for Spoken Language Understanding via Pretrained Language Models Interspeech 2021 Data driven semi-supervised learning NeurIPS 2021 DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort CVPR 2021 Deep Generative Missingness Pattern-Set Mixture Models AISTATS 2021 Deep kernels with probabilistic embeddings for small-data learning UAI 2021 Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks ICLR 2021 DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation AAAI 2021 Dense Keypoints via Multiview Supervision NeurIPS 2021 Directed Probabilistic Watershed NeurIPS 2021 Disfluency Correction using Unsupervised and Semi-supervised Learning EACL 2021 DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization ICCV 2021 Domain Adaptation With Auxiliary Target Domain-Oriented Classifier CVPR 2021 DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples NeurIPS 2021