Hoang Phan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Mixtures Of Gaussians

Bayesian Decision

Supervised Learning

Top Venues

Publications

Hoang Phan, Lam Tran, Quyen Tran, Trung Le
Enhancing Domain Adaptation through Prompt Gradient Alignment. CoRR (2024)
Hoang Phan, Andrew Gordon Wilson, Qi Lei
Controllable Prompt Tuning For Balancing Group Distributional Robustness. CoRR (2024)
Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning. CoRR (2024)
Ngoc N. Tran, Son Duong, Hoang Phan, Tung Pham, Dinh Q. Phung, Trung Le
Sharpness & Shift-Aware Self-Supervised Learning. CoRR (2023)
Boris Kovalerchuk, Hoang Phan
Full High-Dimensional Intelligible Learning In 2-D Lossless Visualization Space. CoRR (2023)
Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
Flat Seeking Bayesian Neural Networks. NeurIPS (2023)
Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung
Global-Local Regularization Via Distributional Robustness. AISTATS (2023)
Ngoc N. Tran, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le
Robust Contrastive Learning With Theory Guarantee. CoRR (2023)
Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
Flat Seeking Bayesian Neural Networks. CoRR (2023)
Hoang Phan, Trung Le, Trung Phung, Tuan Anh Bui, Nhat Ho, Dinh Q. Phung
Global-Local Regularization Via Distributional Robustness. CoRR (2022)
Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. PAKDD (1) (2022)
Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
Stochastic Multiple Target Sampling Gradient Descent. CoRR (2022)
Hoang Phan, Lam Tran, Ngoc N. Tran, Nhat Ho, Dinh Q. Phung, Trung Le
Improving Multi-task Learning via Seeking Task-based Flat Regions. CoRR (2022)
Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
Stochastic Multiple Target Sampling Gradient Descent. NeurIPS (2022)
Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le
Continual Learning with Optimal Transport based Mixture Model. CoRR (2022)
Boris Kovalerchuk, Hoang Phan
Full interpretable machine learning in 2D with inline coordinates. IV (2021)
Boris Kovalerchuk, Hoang Phan
Full interpretable machine learning in 2D with inline coordinates. CoRR (2021)