Dataset Meta-Learning from Kernel Ridge-Regression. - Timothy Nguyen; Zhourong Chen; Jaehoon Lee (ICLR, 2021)

Dataset Distillation with Infinitely Wide Convolutional Networks. - Timothy Nguyen; Roman Novak; Lechao Xiao; Jaehoon Lee 001 (NeurIPS, 2021)

Architecture Matters in Continual Learning. - Seyed-Iman Mirzadeh; Arslan Chaudhry; Dong Yin; Timothy Nguyen; Razvan Pascanu; Dilan Görür; Mehrdad Farajtabar (CoRR, 2022)

Continually learning representations at scale. - Alexandre Galashov; Jovana Mitrovic; Dhruva Tirumala; Yee Whye Teh; Timothy Nguyen; Arslan Chaudhry; Razvan Pascanu (CoLLAs, 2023)

Is Forgetting Less a Good Inductive Bias for Forward Transfer? - Jiefeng Chen 001; Timothy Nguyen; Dilan Görür; Arslan Chaudhry (ICLR, 2023)

Understanding Transformers via N-Gram Statistics. - Timothy Nguyen (NeurIPS, 2024)