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Few-Shot Learning via Learning the Representation, Provably
v1v2 (latest)

Few-Shot Learning via Learning the Representation, Provably

International Conference on Learning Representations (ICLR), 2020
21 February 2020
S. Du
Wei Hu
Sham Kakade
Jason D. Lee
Qi Lei
    SSL
ArXiv (abs)PDFHTML

Papers citing "Few-Shot Learning via Learning the Representation, Provably"

50 / 199 papers shown
Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
Zhi Wang
Chicheng Zhang
Ramya Korlakai Vinayak
CLL
284
0
0
03 Nov 2025
An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning
An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning
Xingtu Liu
205
0
0
27 Oct 2025
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
Chaewoon Bae
Doyun Choi
Jaehyun Lee
Jaemin Yoo
109
0
0
24 Oct 2025
Transformers are almost optimal metalearners for linear classification
Transformers are almost optimal metalearners for linear classification
Roey Magen
Gal Vardi
189
2
0
22 Oct 2025
Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
Yian Huang
Yang Feng
Z. Ying
208
0
0
08 Sep 2025
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
Cynthia Dwork
Lunjia Hu
Han Shao
360
2
0
20 Jun 2025
Domain Pre-training Impact on Representations
Domain Pre-training Impact on Representations
César González-Gutiérrez
A. Quattoni
324
0
0
30 May 2025
Joint estimation of smooth graph signals from partial linear measurements
Joint estimation of smooth graph signals from partial linear measurements
Hemant Tyagi
306
0
0
29 May 2025
Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions
Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions
Hossein Zakerinia
Jonathan Scott
Christoph H. Lampert
FedML
301
0
0
21 May 2025
FloE: On-the-Fly MoE Inference on Memory-constrained GPU
FloE: On-the-Fly MoE Inference on Memory-constrained GPU
Yuxin Zhou
Zheng Li
Junxuan Zhang
Jue Wang
Yanjie Wang
Zhongle Xie
Ke Chen
Lidan Shou
MoE
517
6
0
09 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
Aoran Chen
Yang Feng
283
0
0
05 May 2025
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization
Namrata Vaswani
221
0
0
20 Apr 2025
Survey on Algorithms for multi-index models
Survey on Algorithms for multi-index modelsStatistical Science (Stat. Sci.), 2025
Joan Bruna
Daniel Hsu
400
12
0
07 Apr 2025
Byzantine Resilient Federated Multi-Task Representation Learning
Byzantine Resilient Federated Multi-Task Representation Learning
Tuan Le
Shana Moothedath
438
2
0
24 Mar 2025
Representation Retrieval Learning for Heterogeneous Data Integration
Representation Retrieval Learning for Heterogeneous Data Integration
Qi Xu
Annie Qu
492
6
0
12 Mar 2025
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process
Towards Understanding the Benefit of Multitask Representation Learning in Decision Process
Rui Lu
Yang Yue
Andrew Zhao
S. Du
Gao Huang
OffRL
348
1
0
01 Mar 2025
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
Shuangyi Chen
Yuanxin Guo
Yue Ju
Harik Dalal
Zhongwen Zhu
Ashish Khisti
542
12
0
03 Feb 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual BanditsInternational Conference on Machine Learning (ICML), 2024
Jiabin Lin
Shana Moothedath
Namrata Vaswani
479
8
0
08 Jan 2025
Stealing Training Graphs from Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2024
Minhua Lin
Enyan Dai
Junjie Xu
Jinyuan Jia
Xiang Zhang
Suhang Wang
DiffM
399
6
0
17 Nov 2024
Guarantees for Nonlinear Representation Learning: Non-identical
  Covariates, Dependent Data, Fewer Samples
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer SamplesInternational Conference on Machine Learning (ICML), 2024
Thomas T. Zhang
Bruce D. Lee
Ingvar M. Ziemann
George J. Pappas
Nikolai Matni
CMLOOD
505
2
0
15 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis
Deep Transfer Learning: Model Framework and Error Analysis
Yuling Jiao
Huazhen Lin
Yuchen Luo
Jerry Zhijian Yang
512
2
0
12 Oct 2024
Task Diversity Shortens the ICL Plateau
Task Diversity Shortens the ICL Plateau
Jaeyeon Kim
Sehyun Kwon
Joo Young Choi
Jongho Park
Jaewoong Cho
Jason D. Lee
Ernest K. Ryu
MoMe
465
3
0
07 Oct 2024
On the Effect of Instability on Learning Continuous-Time Linear Control Systems
On the Effect of Instability on Learning Continuous-Time Linear Control SystemsAmerican Control Conference (ACC), 2024
Reza Sadeghi Hafshejani
Mohamad Kazem Shirani Fradonbeh
265
0
0
17 Sep 2024
Learning with Shared Representations: Statistical Rates and Efficient Algorithms
Learning with Shared Representations: Statistical Rates and Efficient Algorithms
Xiaochun Niu
Lili Su
Jiaming Xu
Pengkun Yang
FedML
479
2
0
07 Sep 2024
Transformers are Minimax Optimal Nonparametric In-Context Learners
Transformers are Minimax Optimal Nonparametric In-Context LearnersNeural Information Processing Systems (NeurIPS), 2024
Juno Kim
Tai Nakamaki
Taiji Suzuki
416
30
0
22 Aug 2024
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
Memorization Capacity for Additive Fine-Tuning with Small ReLU NetworksConference on Uncertainty in Artificial Intelligence (UAI), 2024
Jy-yong Sohn
Dohyun Kwon
Seoyeon An
Kangwook Lee
405
0
0
01 Aug 2024
Regret Analysis of Multi-task Representation Learning for
  Linear-Quadratic Adaptive Control
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
Bruce D. Lee
Leonardo F. Toso
Thomas T. Zhang
James Anderson
Nikolai Matni
400
4
0
08 Jul 2024
VIRL: Volume-Informed Representation Learning towards Few-shot
  Manufacturability Estimation
VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation
Yu-hsuan Chen
Jonathan Cagan
Levent Burak Kara
306
4
0
18 Jun 2024
Federated Representation Learning in the Under-Parameterized Regime
Federated Representation Learning in the Under-Parameterized RegimeInternational Conference on Machine Learning (ICML), 2024
Renpu Liu
Cong Shen
Jing Yang
429
12
0
07 Jun 2024
Profiled Transfer Learning for High Dimensional Linear Model
Profiled Transfer Learning for High Dimensional Linear Model
Ziqian Lin
Junlong Zhao
Fang Wang
Han Wang
387
6
0
02 Jun 2024
FCOM: A Federated Collaborative Online Monitoring Framework via
  Representation Learning
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Tanapol Kosolwattana
Huazheng Wang
Raed Al Kontar
Ying Lin
FedML
200
1
0
30 May 2024
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Vanshaj Khattar
Yuhao Ding
Bilgehan Sel
Javad Lavaei
Ming Jin
OffRL
303
23
0
26 May 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
Ruitao Chen
Liwei Wang
380
1
0
18 May 2024
RLHF from Heterogeneous Feedback via Personalization and Preference
  Aggregation
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation
Chanwoo Park
Mingyang Liu
Dingwen Kong
Kaiqing Zhang
Asuman Ozdaglar
500
66
0
30 Apr 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
505
2
0
18 Apr 2024
FAIRM: Learning invariant representations for algorithmic fairness and
  domain generalization with minimax optimality
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
Sai Li
Linjun Zhang
OODFaML
269
1
0
02 Apr 2024
TransFusion: Covariate-Shift Robust Transfer Learning for
  High-Dimensional Regression
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
Zelin He
Ying Sun
Jingyuan Liu
Runze Li
OOD
341
21
0
01 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text
  Guidance
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
G. Nam
Byeongho Heo
Juho Lee
VLM
221
14
0
01 Apr 2024
On Uncertainty Quantification for Near-Bayes Optimal Algorithms
On Uncertainty Quantification for Near-Bayes Optimal Algorithms
Ziyu Wang
Chris Holmes
UQCV
338
3
0
28 Mar 2024
On the Generalization Ability of Unsupervised Pretraining
On the Generalization Ability of Unsupervised PretrainingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yuyang Deng
Junyuan Hong
Jiayu Zhou
M. Mahdavi
SSL
285
9
0
11 Mar 2024
Bridging Domains with Approximately Shared Features
Bridging Domains with Approximately Shared FeaturesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ziliang Samuel Zhong
Xiang Pan
Qi Lei
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332
2
0
11 Mar 2024
Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Provable Multi-Party Reinforcement Learning with Diverse Human Feedback
Huiying Zhong
Zhun Deng
Weijie J. Su
Zhiwei Steven Wu
Linjun Zhang
268
25
0
08 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and
  Applications
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
452
1
0
06 Mar 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement
  Learning with Diverse Tasks
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu
Zifan Xu
Runxuan Jiang
Peter Stone
Ambuj Tewari
420
2
0
03 Mar 2024
Smoothness Adaptive Hypothesis Transfer Learning
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin
M. Reimherr
287
11
0
22 Feb 2024
Offline Multi-task Transfer RL with Representational Penalization
Offline Multi-task Transfer RL with Representational Penalization
Avinandan Bose
S. S. Du
Maryam Fazel
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369
13
0
19 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
Kaan Ozkara
Bruce Huang
Ruida Zhou
Suhas Diggavi
659
1
0
19 Feb 2024
Episodic-free Task Selection for Few-shot Learning
Episodic-free Task Selection for Few-shot Learning
Tao Zhang
206
1
0
31 Jan 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
Guanglin Zhou
Zhongyi Han
Shiming Chen
Erdun Gao
Liming Zhu
Tongliang Liu
Lina Yao
Kun Zhang
309
7
0
18 Jan 2024
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with
  Model Misspecification
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Bruce D. Lee
Anders Rantzer
Nikolai Matni
514
7
0
29 Dec 2023
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