Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation. - Arslan Chaudhry; Puneet Kumar Dokania; Philip H. S. Torr (BMVC, 2017)

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence. - Arslan Chaudhry; Puneet Kumar Dokania; Thalaiyasingam Ajanthan; Philip H. S. Torr (ECCV (11), 2018)

Efficient Lifelong Learning with A-GEM. - Arslan Chaudhry; Marc'Aurelio Ranzato; Marcus Rohrbach; Mohamed Elhoseiny (ICLR (Poster), 2019)

Continual Learning with Tiny Episodic Memories. - Arslan Chaudhry; Marcus Rohrbach; Mohamed Elhoseiny; Thalaiyasingam Ajanthan; Puneet Kumar Dokania; Philip H. S. Torr; Marc'Aurelio Ranzato (CoRR, 2019)

Continual Learning in Low-rank Orthogonal Subspaces. - Arslan Chaudhry; Naeemullah Khan; Puneet K. Dokania; Philip H. S. Torr (NeurIPS, 2020)

Continual learning for efficient machine learning. - Arslan Chaudhry (2020)

Using Hindsight to Anchor Past Knowledge in Continual Learning. - Arslan Chaudhry; Albert Gordo; Puneet K. Dokania; Philip H. S. Torr; David Lopez-Paz (AAAI, 2021)

Multilevel Knowledge Transfer for Cross-Domain Object Detection. - Botos Csaba; Xiaojuan Qi 001; Arslan Chaudhry; Puneet K. Dokania; Philip H. S. Torr (CoRR, 2021)

Wide Neural Networks Forget Less Catastrophically. - Seyed-Iman Mirzadeh; Arslan Chaudhry; Huiyi Hu; Razvan Pascanu; Dilan Görür; Mehrdad Farajtabar (CoRR, 2021)

Wide Neural Networks Forget Less Catastrophically. - Seyed-Iman Mirzadeh; Arslan Chaudhry; Dong Yin; Huiyi Hu; Razvan Pascanu; Dilan Görür; Mehrdad Farajtabar (ICML, 2022)

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

When does mixup promote local linearity in learned representations? - Arslan Chaudhry; Aditya Krishna Menon; Andreas Veit; Sadeep Jayasumana; Srikumar Ramalingam; Sanjiv Kumar (CoRR, 2022)

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. - Jörg Bornschein; Alexandre Galashov; Ross Hemsley; Amal Rannen-Triki; Yutian Chen 001; Arslan Chaudhry; Xu Owen He; Arthur Douillard; Massimo Caccia; Qixuang Feng; Jiajun Shen; Sylvestre-Alvise Rebuffi; et al. (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)

Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. - Jörg Bornschein; Alexandre Galashov; Ross Hemsley; Amal Rannen-Triki; Yutian Chen 001; Arslan Chaudhry; Xu Owen He; Arthur Douillard; Massimo Caccia; Qixuan Feng; Jiajun Shen; Sylvestre-Alvise Rebuffi; et al. (J. Mach. Learn. Res., 2023)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. - Irina Jurenka; Markus Kunesch; Kevin R. McKee; Daniel Gillick; Shaojian Zhu; Sara Wiltberger; Shubham Milind Phal; Katherine L. Hermann; Daniel Kasenberg; Avishkar Bhoopchand; Ankit Anand; Miruna Pîslar; et al. (CoRR, 2024)

Finetuning Language Models to Emit Linguistic Expressions of Uncertainty. - Arslan Chaudhry; Sridhar Thiagarajan; Dilan Görür (CoRR, 2024)

On the generalization of language models from in-context learning and finetuning: a controlled study. - Andrew K. Lampinen; Arslan Chaudhry; Stephanie C. Y. Chan; Cody Wild; Diane Wan; Alex Ku; Jörg Bornschein; Razvan Pascanu; Murray Shanahan; James L. McClelland (CoRR, 2025)