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2105.02221
Cited By
How Fine-Tuning Allows for Effective Meta-Learning
Neural Information Processing Systems (NeurIPS), 2021
5 May 2021
Kurtland Chua
Qi Lei
Jason D. Lee
Re-assign community
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Papers citing
"How Fine-Tuning Allows for Effective Meta-Learning"
31 / 31 papers shown
Cross-Learning from Scarce Data via Multi-Task Constrained Optimization
Leopoldo Agorio
J. Cerviño
Miguel Calvo-Fullana
Alejandro Ribeiro
J. Bazerque
151
0
0
17 Nov 2025
Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
Yian Huang
Yang Feng
Z. Ying
207
0
0
08 Sep 2025
Joint estimation of smooth graph signals from partial linear measurements
Hemant Tyagi
306
0
0
29 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
Aoran Chen
Yang Feng
283
0
0
05 May 2025
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization
International Conference on Learning Representations (ICLR), 2025
Zixuan Gong
Xiaolin Hu
Huayi Tang
Yong Liu
359
3
0
24 Feb 2025
Multi-Task Dynamic Pricing in Credit Market with Contextual Information
Adel Javanmard
Jingwei Ji
Renyuan Xu
552
1
0
18 Oct 2024
Rethinking Meta-Learning from a Learning Lens
Wenwen Qiang
Jingyao Wang
Chuxiong Sun
Hui Xiong
Jiangmeng Li
597
3
0
13 Sep 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
499
2
0
18 Apr 2024
Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning
Jingzhi Gong
Tao Chen
317
20
0
05 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
426
6
0
19 Dec 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
610
14
0
13 Jul 2023
Improved Active Multi-Task Representation Learning via Lasso
International Conference on Machine Learning (ICML), 2023
Yiping Wang
Yifang Chen
Kevin Jamieson
S. Du
226
13
0
05 Jun 2023
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression
International Symposium on Information Theory (ISIT), 2023
Navjot Singh
Suhas Diggavi
286
2
0
25 May 2023
Multi-Task Imitation Learning for Linear Dynamical Systems
Conference on Learning for Dynamics & Control (L4DC), 2022
Thomas T. Zhang
Katie Kang
Bruce D. Lee
Claire Tomlin
Sergey Levine
Stephen Tu
Nikolai Matni
465
30
0
01 Dec 2022
Multi-task Bias-Variance Trade-off Through Functional Constraints
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
J. Cerviño
J. Bazerque
Miguel Calvo-Fullana
Alejandro Ribeiro
320
1
0
27 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions
IEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
421
72
0
24 Oct 2022
A Kernel-Based View of Language Model Fine-Tuning
International Conference on Machine Learning (ICML), 2022
Sadhika Malladi
Alexander Wettig
Dingli Yu
Danqi Chen
Sanjeev Arora
VLM
401
105
0
11 Oct 2022
On the Impossible Safety of Large AI Models
El-Mahdi El-Mhamdi
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
L. Hoang
Rafael Pinot
Sébastien Rouault
John Stephan
397
38
0
30 Sep 2022
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
Neural Information Processing Systems (NeurIPS), 2022
Laura Fee Nern
Harsh Raj
Maurice Georgi
Yash Sharma
AAML
314
7
0
07 Aug 2022
Understanding Benign Overfitting in Gradient-Based Meta Learning
Neural Information Processing Systems (NeurIPS), 2022
Lisha Chen
Songtao Lu
Tianyi Chen
MLT
282
19
0
27 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
258
127
0
27 May 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
International Conference on Learning Representations (ICLR), 2022
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Abigail Z. Jacobs
OODD
483
890
0
21 Feb 2022
Active Multi-Task Representation Learning
International Conference on Machine Learning (ICML), 2022
Yifang Chen
S. Du
Kevin Jamieson
215
17
0
02 Feb 2022
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Elnur Gasanov
Ahmed Khaled
Samuel Horváth
Peter Richtárik
FedML
321
18
0
22 Nov 2021
Provable Lifelong Learning of Representations
Xinyuan Cao
Weiyang Liu
Santosh Vempala
CLL
346
18
0
27 Oct 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
365
13
0
06 Jul 2021
A Theoretical Analysis of Fine-tuning with Linear Teachers
Gal Shachaf
Alon Brutzkus
Amir Globerson
266
19
0
04 Jul 2021
MAML is a Noisy Contrastive Learner in Classification
International Conference on Learning Representations (ICLR), 2021
Chia-Hsiang Kao
Wei-Chen Chiu
Pin-Yu Chen
240
19
0
29 Jun 2021
Weighted Training for Cross-Task Learning
International Conference on Learning Representations (ICLR), 2021
Shuxiao Chen
K. Crammer
Han He
Dan Roth
Weijie J. Su
247
30
0
28 May 2021
Meta-Learning with Graph Neural Networks: Methods and Applications
SIGKDD Explorations (SIGKDD Explor.), 2021
Debmalya Mandal
Sourav Medya
Brian Uzzi
Charu C. Aggarwal
AI4CE
477
26
0
27 Feb 2021
Statistical Learning from Biased Training Samples
Electronic Journal of Statistics (EJS), 2019
Nathan Huet
Pierre Laforgue
390
9
0
28 Jun 2019
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