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ORCIDLiam Collins
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2020 – today
- 2024
[c9]Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai:
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. ICML 2024- [i10]Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai:
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. CoRR abs/2402.11639 (2024) - [i9]Jacob L. Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Meta-Learning Adaptable Foundation Models. CoRR abs/2410.22264 (2024) - 2023
- [c8]Advait Parulekar, Liam Collins, Karthikeyan Shanmugam
, Aryan Mokhtari, Sanjay Shakkottai:
InfoNCE Loss Provably Learns Cluster-Preserving Representations. COLT 2023: 1914-1961 - [c7]Jerry Gu, Liam Collins, Debashri Roy, Aryan Mokhtari, Sanjay Shakkottai, Kaushik R. Chowdhury:
Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments. ICASSP 2023: 1-5 - [i8]Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai:
InfoNCE Loss Provably Learns Cluster-Preserving Representations. CoRR abs/2302.07920 (2023) - [i7]Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai:
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. CoRR abs/2307.06887 (2023) - [i6]Liam Collins, Shanshan Wu, Sewoong Oh, Khe Chai Sim:
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning. CoRR abs/2310.04627 (2023) - 2022
- [c6]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
How Does the Task Landscape Affect MAML Performance? CoLLAs 2022: 23-59 - [c5]Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai:
MAML and ANIL Provably Learn Representations. ICML 2022: 4238-4310 - [c4]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. NeurIPS 2022 - [i5]Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai:
MAML and ANIL Provably Learn Representations. CoRR abs/2202.03483 (2022) - [i4]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. CoRR abs/2205.13692 (2022) - 2021
- [c3]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
Exploiting Shared Representations for Personalized Federated Learning. ICML 2021: 2089-2099 - [i3]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
Exploiting Shared Representations for Personalized Federated Learning. CoRR abs/2102.07078 (2021) - 2020
- [c2]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Task-Robust Model-Agnostic Meta-Learning. NeurIPS 2020 - [i2]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Distribution-Agnostic Model-Agnostic Meta-Learning. CoRR abs/2002.04766 (2020) - [i1]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Why Does MAML Outperform ERM? An Optimization Perspective. CoRR abs/2010.14672 (2020)
2010 – 2019
- 2015
- [c1]Liam Collins, Stefan Eylott, John Leedale, T. C. Nicholas Graham:
Alaska Steve: Using Virtual Reality to Enhance a 2D Platforming Game. CHI PLAY 2015: 767-770
Coauthor Index
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