#semi-supervised learning
6 resultsSemi-supervised Hopfield model: Theoretical and Numerical results
Linda Albanese, Andrea Ladiana, Andrea Lepre
The paper develops a statistical‑mechanical theory for semi‑supervised learning in Hopfield networks by mixing supervised and unsupervised Hebbian couplings, deriving performance t…
Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus
Rasmus Tirsgaard, Laurits Fredsgaard, Marisa Wodrich +2
The paper proposes a semi-supervised learning approach for molecular graph data that uses an ensemble consensus objective to improve prediction accuracy, robustness, and calibratio…
Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite
Yushi Hirose, Hiroo Irobe, Takafumi Kanamori
The paper introduces a generalized, distribution‑free framework for semi‑supervised learning that builds unbiased risk estimators for both binary and multiclass problems, achieving…
Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization
Adam M. Oberman
The paper provides a theoretical analysis showing that self‑supervised learning with data augmentation can achieve a fast O(1/n_L) error rate in semi‑supervised settings, linking t…
Self-Supervised Visual Representation Learning: Pretrain-Finetuning or Joint Training?
Nusrat Munia, Tyler Ward, Nishat Nayla +2
The paper empirically compares pretraining‑finetuning and joint training of self‑supervised and supervised objectives across multiple SSL methods and vision tasks, showing that joi…
Temporal Feature Distillation for Label-Efficient Precise Event Spotting in Sports Videos
Hao Xu, Xinyu Wei, Sam Wells +1
The paper introduces a semi-supervised Temporal Feature Distillation method and a Transformer Gate Shift module to improve precise event spotting in sports videos with limited labe…