Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating

Accurate Retraining-free Pruning for Pretrained Encoderbased Language Models

Accurate Graph Classification via Two-staged Contrastive Curriculum Learning

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-box Predictors

SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot

Learning Stance Embeddings from Signed Social Graphs

Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance