Semi-Supervised Learning

UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking NAACL 2024 Unraveling the Dynamics of Semi-Supervised Hate Speech Detection: The Impact of Unlabeled Data Characteristics and Pseudo-Labeling Strategies EACL 2024 Unsupervised and Semi-Supervised Co-Salient Object Detection via Segmentation Frequency Statistics WACV 2024 Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024 Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification AAAI 2024 Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NeurIPS 2024 Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation CVPR 2024 Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data ICLR 2024 VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning IJCAI 2024 VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp EMNLP 2024 Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation CVPR 2024 Vision-Language Models are Strong Noisy Label Detectors NeurIPS 2024 Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval CVPR 2024 W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation AAAI 2024 Weak-to-Strong 3D Object Detection with X-Ray Distillation CVPR 2024 What Makes Partial-Label Learning Algorithms Effective? NeurIPS 2024 X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects NAACL 2024 A Class-Rebalancing Self-Training Framework for Distantly-Supervised Named Entity Recognition ACL 2023 ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning AAAI 2023 A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images MIDL 2023 Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection AAAI 2023 A Generalized Deep Markov Random Fields Framework for Fake News Detection IJCAI 2023 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning NeurIPS 2023 A Joint Model for Pronunciation Assessment and Mispronunciation Detection and Diagnosis with Multi-task Learning Interspeech 2023 ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning NeurIPS 2023