The official implementation of Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials.

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. AAAI, 2023.

Discrete Trust-aware Matrix Factorization for Fast Recommendation. IJCAI, 2019.

Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV, 2023.

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023.

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.

AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.