Ta, The-Anh

9 publications

NeurIPS 2025 The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis Hoang Pham, The-Anh Ta, Tom Jacobs, Rebekka Burkholz, Long Tran-Thanh
ICLR 2025 Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Kok-Seng Wong, Hoang Thanh-Tung, Khoa D Doan
ECCV 2024 Flatness-Aware Sequential Learning Generates Resilient Backdoors Hoang Pham, The-Anh Ta, Anh T Tran, Khoa D Doan
ICMLW 2024 Learning Stable Allocations of Strictly Convex Stochastic Cooperative Games Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
NeurIPS 2024 Learning the Expected Core of Strictly Convex Stochastic Cooperative Games Nam Phuong Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
NeurIPS 2024 Symmetric Linear Bandits with Hidden Symmetry Nam Phuong Tran, The Anh Ta, Debmalya Mandal, Long Tran-Thanh
NeurIPSW 2023 Clean-Label Backdoor Attacks by Selectively Poisoning with Limited Information from Target Class Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta, Thanh Nguyen-Tang, Hoang Thanh-Tung, Khoa D Doan
NeurIPS 2023 Towards Data-Agnostic Pruning at Initialization: What Makes a Good Sparse Mask? Hoang Pham, The Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, Long Tran-Thanh
CVPR 2022 Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation Minh Hieu Phan, The-Anh Ta, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum