In this paper, we present a new analysis on co-training, a representative paradigm of disagreement-based semi-supervised learning methods.

In this paper, we present a new analysis on co-training, a representative paradigm of disagreement-based semi-supervised learning methods.

In this paper, we present a new analysis on co-training, a representative paradigm of disagreement-based semi-supervised learning methods.

In this paper, we present a new PAC analysis on co-training style algorithms. We show that the co-training process can succeed even without two views.

Co-Training is a popular semi-supervised learning algorithm. It assumes that each example is represented by two or more redundantly sufficient sets of features ...

Aug 3, 2024 · We present a highly efficient co-training framework for semi-supervised learning. The method demonstrates robustness against perturbations in real-world data.

In this paper, we propose CoPiEr (co-training for policy learning), a meta-framework for policy co-training that can incorporate both reinforcement learning and ...

Jan 24, 2024 · Co-training is a semisupervised learning technique that capitalizes on the concept of learning from multiple, potentially complementary, views of the data.

Aug 21, 2024 · We present a simple and efficient algorithm Multi-Head Co-Training. By integrating base learners into a multi-head structure, the model is in a minimal amount ...

In this paper, we present a new PAC analysis on co-training style algorithms. We show that the co-training process can succeed even without two views, given ...