Arslan Chaudhry

27 papers A* 4A 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios. CoRR Bernd Bohnet, Rumen Dangovski, Kevin Swersky, Sherry Moore, Arslan Chaudhry, Kathleen Kenealy, Noah Fiedel
2025	J	`jnl`	Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences. CoRR Andrew Kyle Lampinen, Martin Engelcke, Yuxuan Li, Arslan Chaudhry, James L. McClelland
2025	J	`jnl`	On the generalization of language models from in-context learning and finetuning: a controlled study. CoRR Andrew K. Lampinen, Arslan Chaudhry, Stephanie C. Y. Chan, Cody Wild, Diane Wan, Alex Ku, Jörg Bornschein, Razvan Pascanu, Murray Shanahan, James L. McClelland
2024	J	`jnl`	Finetuning Language Models to Emit Linguistic Expressions of Uncertainty. CoRR Arslan Chaudhry, Sridhar Thiagarajan, Dilan Görür
2024	J	`jnl`	Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. CoRR 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, Stephanie Chan, Lisa Wang, Jennifer She, Parsa Mahmoudieh, Aliya Rysbek, Wei-Jen Ko, Andrea Huber, Brett Wiltshire, Gal Elidan, Roni Rabin, Jasmin Rubinovitz, Amit Pitaru, Mac McAllister, Julia Wilkowski, David Choi, Roee Engelberg, Lidan Hackmon, Adva Levin, Rachel Griffin, Michael Sears, Filip Bar, Mia Mesar, Mana Jabbour, Arslan Chaudhry, James Cohan, Sridhar Thiagarajan, Nir Levine, Ben Brown, Dilan Görür, Svetlana Grant, Rachel Hashimshoni, Laura Weidinger, Jieru Hu, Dawn Chen, Kuba Dolecki, Canfer Akbulut, Maxwell L. Bileschi, Laura Culp, Wen-Xin Dong, Nahema Marchal, Kelsie Van Deman, Hema Bajaj Misra, Michael Duah, Moran Ambar, Avi Caciularu, Sandra Lefdal, Christopher Summerfield, James An, Pierre-Alexandre Kamienny, Abhinit Mohdi, Theofilos Strinopoulos, Annie Hale, Wayne Anderson, Luis C. Cobo, Niv Efron, Muktha Ananda, Shakir Mohamed, Maureen Heymans, Zoubin Ghahramani, Yossi Matias, Ben Gomes, Lila Ibrahim
2023	—	`conf`	Continually learning representations at scale. CoLLAs Alexandre Galashov, Jovana Mitrovic, Dhruva Tirumala, Yee Whye Teh, Timothy Nguyen, Arslan Chaudhry, Razvan Pascanu
2023	A*	`conf`	Is Forgetting Less a Good Inductive Bias for Forward Transfer? ICLR Jiefeng Chen, Timothy Nguyen, Dilan Görür, Arslan Chaudhry
2023	J	`jnl`	Is forgetting less a good inductive bias for forward transfer? CoRR Jiefeng Chen, Timothy Nguyen, Dilan Görür, Arslan Chaudhry
2023	J	`jnl`	Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. J. Mach. Learn. Res. Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuan Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato
2022	J	`jnl`	Architecture Matters in Continual Learning. CoRR Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Timothy Nguyen, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar
2022	J	`jnl`	NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. CoRR Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuang Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato
2022	J	`jnl`	When does mixup promote local linearity in learned representations? CoRR Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar
2022	A*	`conf`	Wide Neural Networks Forget Less Catastrophically. ICML Seyed-Iman Mirzadeh, Arslan Chaudhry, Dong Yin, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar
2021	J	`jnl`	Multilevel Knowledge Transfer for Cross-Domain Object Detection. CoRR Botos Csaba, Xiaojuan Qi, Arslan Chaudhry, Puneet K. Dokania, Philip H. S. Torr
2021	A*	`conf`	Using Hindsight to Anchor Past Knowledge in Continual Learning. AAAI Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz
2021	J	`jnl`	Wide Neural Networks Forget Less Catastrophically. CoRR Seyed-Iman Mirzadeh, Arslan Chaudhry, Huiyi Hu, Razvan Pascanu, Dilan Görür, Mehrdad Farajtabar
2020	A*	`conf`	Continual Learning in Low-rank Orthogonal Subspaces. NeurIPS Arslan Chaudhry, Naeemullah Khan, Puneet K. Dokania, Philip H. S. Torr
2020	J	`jnl`	Continual Learning in Low-rank Orthogonal Subspaces. CoRR Arslan Chaudhry, Naeemullah Khan, Puneet K. Dokania, Philip H. S. Torr
2020	—	`—`	Continual learning for efficient machine learning. Arslan Chaudhry
2020	J	`jnl`	Using Hindsight to Anchor Past Knowledge in Continual Learning. CoRR Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz
2019	J	`jnl`	Continual Learning with Tiny Episodic Memories. CoRR Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet Kumar Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato
2019	—	`conf`	Efficient Lifelong Learning with A-GEM. ICLR (Poster) Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny
2018	J	`jnl`	Efficient Lifelong Learning with A-GEM. CoRR Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny
2018	—	`conf`	Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence. ECCV (11) Arslan Chaudhry, Puneet Kumar Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr
2018	J	`jnl`	Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence. CoRR Arslan Chaudhry, Puneet Kumar Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr
2017	A	`conf`	Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation. BMVC Arslan Chaudhry, Puneet Kumar Dokania, Philip H. S. Torr
2017	J	`jnl`	Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation. CoRR Arslan Chaudhry, Puneet Kumar Dokania, Philip H. S. Torr