Self-Training

Dual-Level Confidence based Implicit Self-Refinement for Medical Visual Question Answering CVPR 2026 mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection SemEval 2026 Measure The Feature Universe: Topology-based Pseudo Labeling and Gravity Consistency for Source-Free Domain Adaptation CVPR 2026 Real-World Point Tracking with Verifier-Guided Pseudo-Labeling CVPR 2026 What's Wrong with Synthetic Data for Scene Text Recognition? A Strong Synthetic Engine with Diverse Simulations and Self-Evolution CVPR 2026 A Self-Training Approach for Whisper to Enhance Long Dysarthric Speech Recognition Interspeech 2025 AttentiveMOS: A Lightweight Attention-Only Model forSpeech Quality Prediction Interspeech 2025 Grammatical Error Detection on Spontaneous Children's Speech Using Iterative Pseudo Labeling Interspeech 2025 Leveraging Frozen Batch Normalization for Co-Training in Source-Free Domain Adaptation AISTATS 2025 SuPseudo: A Pseudo-supervised Learning Method for Neural Speech Enhancement in Far-field Speech Recognition Interspeech 2025 Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift NeurIPS 2023 Continuous pseudo-labeling from the start ICLR 2023 Domain Adaptation Using Self-Training With Mixup for One-Stage Object Detection WACV 2023 Few Shot Rationale Generation using Self-Training with Dual Teachers ACL 2023 Pseudo-label Training and Model Inertia in Neural Machine Translation ICLR 2023 State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking ACML 2023 Semi-Supervised Semantic Segmentation With Error Localization Network CVPR 2022 Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles NeurIPS 2021 In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness ICLR 2021 Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems EMNLP 2021 SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection NeurIPS 2021 Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training EMNLP 2020 Partial Label Learning with Self-Guided Retraining AAAI 2019 A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NeurIPS 2008