Tran, Quyen

9 publications

ICCV 2025 Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective Hoang Phan, Lam Tran, Quyen Tran, Ngoc Tran, Tuan Truong, Qi Lei, Nhat Ho, Dinh Phung, Trung Le
ICLR 2025 Boosting Multiple Views for Pretrained-Based Continual Learning Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Phung, Khoat Than, Trung Le
AAAI 2025 Few-Shot, No Problem: Descriptive Continual Relation Extraction Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran, Thanh-Thien Le, Linh Ngo Van, Thien Huu Nguyen
ICML 2025 Improving Generalization with Flat Hilbert Bayesian Inference Tuan Truong, Quyen Tran, Ngoc-Quan Pham, Nhat Ho, Dinh Phung, Trung Le
CVPR 2025 Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning Huu Binh Ta, Duc Nguyen, Quyen Tran, Toan Tran, Tung Pham
ICML 2025 Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-Tuning Foundation Models Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le
ICLR 2025 Revisiting Prefix-Tuning: Statistical Benefits of Reparameterization Among Prompts Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho
NeurIPS 2025 Token-Level Self-Play with Importance-Aware Guidance for Large Language Models Tue Le, Hoang Tran Vuong, Quyen Tran, Linh Ngo Van, Mehrtash Harandi, Trung Le
NeurIPS 2024 Enhancing Domain Adaptation Through Prompt Gradient Alignment Hoang Phan, Lam Tran, Quyen Tran, Trung Le