| SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning | | 13.50±0.14 | Semi-SST (ViT-Small) | 2025-05-31 |
| SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning | | 14.20±0.17 | Super-SST (ViT-Small) | 2025-05-31 |
| Class-Aware Contrastive Semi-Supervised Learning | ✓ Link | 19.32 | CCSSL(FixMatch) | 2022-03-04 |
| []() | | 20.42±0.17 | FixMatch+DM | |
| SimMatch: Semi-supervised Learning with Similarity Matching | ✓ Link | 20.58 | SimMatch | 2022-03-14 |
| Contrastive Regularization for Semi-Supervised Learning | | 21.03 | FixMatch+CR | 2022-01-17 |
| DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision | ✓ Link | 21.22± 0.17 | DoubleMatch | 2022-05-11 |
| NP-Match: When Neural Processes meet Semi-Supervised Learning | ✓ Link | 21.22 | NP-Match | 2022-07-03 |
| Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher | | 21.68 | SMPL (WRN-28-8) | 2022-12-27 |
| FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning | ✓ Link | 21.68 | FreeMatch | 2022-05-15 |
| SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification | ✓ Link | 21.89 | SimPLE (WRN-28-8) | 2021-03-30 |
| FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling | ✓ Link | 21.90±0.15 | FlexMatch | 2021-10-15 |
| Dash: Semi-Supervised Learning with Dynamic Thresholding | | 21.97±0.14 | Dash (RA, WRN-28-8) | 2021-09-01 |
| LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification | ✓ Link | 22.11± 0.23 | LaplaceNet (WRN-28-8) | 2021-06-08 |
| DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples | | 22.24±0.31 | DP-SSL | 2021-10-26 |
| FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence | ✓ Link | 22.6 | FixMatch (RA, WRN-28-8) | 2020-01-21 |
| EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations | ✓ Link | 22.92 | EnAET (WRN-28-2-Large) | 2019-11-21 |
| Milking CowMask for Semi-Supervised Image Classification | ✓ Link | 23.07±0.30 | CowMix (WRN-28-96x2d) | 2020-03-26 |
| FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence | ✓ Link | 23.18±0.11 | FixMatch (CTA, WRN-28-8) | 2020-01-21 |
| LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching | | 23.22 | LiDAM | 2020-10-13 |
| All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training | ✓ Link | 24.45±0.12 | SemCo (μ=7) | 2021-04-12 |
| SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations | ✓ Link | 25.3 | SHOT-VAE | 2020-11-21 |
| EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations | ✓ Link | 26.93±0.21 | EnAET (WRN-28-2) | 2019-11-21 |
| In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning | ✓ Link | 32 | UPS (CNN-13) | 2021-01-15 |
| Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning | ✓ Link | 32.77 | Dual Student (480) | 2019-09-03 |
| Repetitive Reprediction Deep Decipher for Semi-Supervised Learning | ✓ Link | 32.87 | R2-D2 (CNN-13) | 2019-08-09 |
| Temporal Ensembling for Semi-Supervised Learning | ✓ Link | 38.65 | Temporal ensembling | 2016-10-07 |
| Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning | ✓ Link | 38.7 | SESEMI SSL (ConvNet) | 2019-06-25 |
| Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning | | 39.19 | Ⅱ-Model | 2016-06-14 |