Chaudhry, Arslan
Stanford University
5 papers on CoChat
Most cited papers
- Verified
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Chaudhry, A., Dokania, P. K., Ajanthan, T., & Torr, P. H. S. (2018) · Lecture Notes in Computer Science
Domain Adaptation and Few-Shot LearningData Stream Mining Techniques
Cited by 1,091
- Verified
Efficient Lifelong Learning with A-GEM
Chaudhry, A., Ranzato, M., Rohrbach, M., & Elhoseiny, M. (2018) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
Cited by 852
- Verified
Continual Learning in Low-rank Orthogonal Subspaces
Chaudhry, A., Khan, N., Dokania, P. K., & Torr, P. H. S. (2020) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 54
- Verified
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
Jurenka, I., Kunesch, M., McKee, K. R., Gillick, D., Zhu, S., Wiltberger, S., Phal, S. M., Hermann, K., Kasenberg, D., Bhoopchand, A., et al. (2024) · arXiv
Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning
Cited by 24
- Verified
On the generalization of language models from in-context learning and finetuning: a controlled study
Lampinen, A. K., Chaudhry, A., Chan, S. C. Y., Wild, C., Wan, D., Ku, A., Bornschein, J., Pascanu, R., Shanahan, M., & McClelland, J. L. (2025) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 0
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