Exploiting shared representations for personalized federated learning L Collins, H Hassani, A Mokhtari, S Shakkottai International conference on machine learning, 2089-2099, 2021 | 571 | 2021 |
Task-Robust Model-Agnostic Meta-Learning L Collins, A Mokhtari, S Shakkottai arXiv preprint arXiv:2002.04766, 2020 | 56* | 2020 |
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 | 55 | 2022 |
Maml and anil provably learn representations L Collins, A Mokhtari, S Oh, S Shakkottai International Conference on Machine Learning, 4238-4310, 2022 | 29 | 2022 |
Why does maml outperform erm? an optimization perspective L Collins, A Mokhtari, S Shakkottai arXiv preprint arXiv:2010.14672, 6, 2020 | 15 | 2020 |
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 | 12 | 2023 |
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 | 5 | 2024 |
Provable multi-task representation learning by two-layer relu neural networks L Collins, H Hassani, M Soltanolkotabi, A Mokhtari, S Shakkottai arXiv preprint arXiv:2307.06887, 2023 | 5 | 2023 |
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 | 4 | 2023 |
How Does the Task Landscape Affect MAML Performance? L Collins, A Mokhtari, S Shakkottai arXiv preprint arXiv:2010.14672, 2020 | 3 | 2020 |
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 | 1 | 2023 |
PerfedSI: A framework for personalized federated learning with side information L Collins, E Diao, T Roosta, J Ding, T Zhang | 1 | 2022 |