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Liam Collins
Liam Collins
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Dirección de correo verificada de utexas.edu - Página principal
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Exploiting shared representations for personalized federated learning
L Collins, H Hassani, A Mokhtari, S Shakkottai
International conference on machine learning, 2089-2099, 2021
8252021
Fedavg with fine tuning: Local updates lead to representation learning
L Collins, H Hassani, A Mokhtari, S Shakkottai
Advances in Neural Information Processing Systems 35, 10572-10586, 2022
932022
Task-Robust Model-Agnostic Meta-Learning
L Collins, A Mokhtari, S Shakkottai
arXiv preprint arXiv:2002.04766, 2020
75*2020
Maml and anil provably learn representations
L Collins, A Mokhtari, S Oh, S Shakkottai
International Conference on Machine Learning, 4238-4310, 2022
422022
Infonce loss provably learns cluster-preserving representations
A Parulekar, L Collins, K Shanmugam, A Mokhtari, S Shakkottai
The Thirty Sixth Annual Conference on Learning Theory, 1914-1961, 2023
222023
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
L Collins*, A Parulekar*, A Mokhtari, S Sanghavi, ...
arXiv preprint arXiv:2402.11639, 2024
172024
Why does maml outperform erm? an optimization perspective
L Collins, A Mokhtari, S Shakkottai
arXiv preprint arXiv:2010.14672, 6, 2020
172020
Provable multi-task representation learning by two-layer relu neural networks
L Collins, H Hassani, M Soltanolkotabi, A Mokhtari, S Shakkottai
Proceedings of machine learning research 235, 9292, 2024
112024
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning
L Collins, S Wu, S Oh, KC Sim
arXiv preprint arXiv:2310.04627, 2023
62023
Meta-learning for image-guided millimeter-wave beam selection in unseen environments
J Gu, L Collins, D Roy, A Mokhtari, S Shakkottai, KR Chowdhury
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
62023
How Does the Task Landscape Affect MAML Performance?
L Collins, A Mokhtari, S Shakkottai
arXiv preprint arXiv:2010.14672, 2020
42020
PerfedSI: A framework for personalized federated learning with side information
L Collins, E Diao, T Roosta, J Ding, T Zhang
22022
Meta-Learning Adaptable Foundation Models
JL Block, S Srinivasan, L Collins, A Mokhtari, S Shakkottai
arXiv preprint arXiv:2410.22264, 2024
2024
The power of adaptivity in multi-task representation learning
LG Collins
2024
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Artículos 1–14