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2201.06142
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Towards Sample-efficient Overparameterized Meta-learning
Neural Information Processing Systems (NeurIPS), 2022
16 January 2022
Yue Sun
Adhyyan Narang
Halil Ibrahim Gulluk
Samet Oymak
Maryam Fazel
BDL
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Papers citing
"Towards Sample-efficient Overparameterized Meta-learning"
20 / 20 papers shown
On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective
Behrad Moniri
Hamed Hassani
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23 May 2025
Data-Efficient and Robust Task Selection for Meta-Learning
Donglin Zhan
James Anderson
OOD
337
4
0
11 May 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
516
2
0
18 Apr 2024
Offline Multi-task Transfer RL with Representational Penalization
Avinandan Bose
S. S. Du
Maryam Fazel
OffRL
383
13
0
19 Feb 2024
Initializing Services in Interactive ML Systems for Diverse Users
Avinandan Bose
Mihaela Curmei
Daniel L. Jiang
Jamie Morgenstern
Sarah Dean
Lillian J. Ratliff
Maryam Fazel
431
6
0
19 Dec 2023
Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics
Soo Min Kwon
Zekai Zhang
Dogyoon Song
Laura Balzano
Qing Qu
354
4
0
08 Nov 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
International Conference on Learning Representations (ICLR), 2023
Zebang Shen
Jiayuan Ye
Anmin Kang
Hamed Hassani
Reza Shokri
FedML
364
24
0
11 Sep 2023
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
International Conference on Machine Learning (ICML), 2023
Liam Collins
Hamed Hassani
Mahdi Soltanolkotabi
Aryan Mokhtari
Sanjay Shakkottai
620
14
0
13 Jul 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
376
5
0
13 May 2023
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
International Conference on Learning Representations (ICLR), 2023
Peizhong Ju
Yitao Liang
Ness B. Shroff
MLT
AI4CE
226
4
0
09 Apr 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
465
11
0
20 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yingcong Li
Samet Oymak
MoE
259
4
0
08 Mar 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning
International Conference on Machine Learning (ICML), 2023
Yingcong Li
M. E. Ildiz
Dimitris Papailiopoulos
Samet Oymak
431
239
0
17 Jan 2023
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
Weitong Chen
BDL
601
27
0
01 Sep 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning
Neural Information Processing Systems (NeurIPS), 2022
Lisha Chen
Songtao Lu
Tianyi Chen
MLT
283
19
0
27 Jun 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD
Neural Information Processing Systems (NeurIPS), 2022
Yu Huang
Yingbin Liang
Longbo Huang
MLT
332
13
0
18 Jun 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Neural Information Processing Systems (NeurIPS), 2022
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
260
129
0
27 May 2022
Provable and Efficient Continual Representation Learning
Yingcong Li
Mingchen Li
M. Salman Asif
Samet Oymak
CLL
308
16
0
03 Mar 2022
Geometric Regularization from Overparameterization
Nicholas J. Teague
219
1
0
18 Feb 2022
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
375
13
0
06 Jul 2021
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