3 papers
cs.LG2026
Contrastive Conformal Sets
Yahya Alkhatib, Wee Peng Tay
Contrastive learning produces coherent semantic feature embeddings by encouraging positive samples to cluster closely while separating negative samples. However, existing contrasti…
cs.LG2025
Conformal Unlearning: A New Paradigm for Unlearning in Conformal Predictors
Yahya Alkhatib, Muhammad Ahmar Jamal, Wee Peng Tay
Conformal unlearning aims to ensure that a trained conformal predictor miscovers data points with specific shared characteristics, such as those from a particular label class, asso…
cs.LG2025
Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
Yanan Zhao, Feng Ji, Kai Zhao +6
Graph Contrastive Learning (GCL) has recently made progress as an unsupervised graph representation learning paradigm. GCL approaches can be categorized into augmentation-based and…