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Few-Shot Learning via Learning the Representation, Provably

21 February 2020

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

50 / 99 papers shown

Title
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension Cynthia Dwork Lunjia Hu Han Shao 15 0 0 20 Jun 2025
Domain Pre-training Impact on Representations César González-Gutiérrez A. Quattoni 25 0 0 30 May 2025
Joint estimation of smooth graph signals from partial linear measurements Hemant Tyagi 44 0 0 29 May 2025
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 151 0 0 09 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds Aoran Chen Yang Feng 84 0 0 05 May 2025
Survey on Algorithms for multi-index models Joan Bruna Daniel Hsu 103 3 0 07 Apr 2025
Byzantine Resilient Federated Multi-Task Representation Learning Tuan Le Shana Moothedath 115 0 0 24 Mar 2025
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA Shuangyi Chen Yuanxin Guo Yue Ju Harik Dalal Ashish Khisti 113 2 0 03 Feb 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits Jiabin Lin Shana Moothedath Namrata Vaswani 99 4 0 08 Jan 2025
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 93 2 0 17 Nov 2024
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 116 1 0 12 Oct 2024
Task Diversity Shortens the ICL Plateau Jaeyeon Kim Sehyun Kwon Joo Young Choi Jongho Park Jaewoong Cho Jason D. Lee Ernest K. Ryu MoMe 99 3 0 07 Oct 2024
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning Tanapol Kosolwattana Huazheng Wang Raed Al Kontar Ying Lin FedML 80 0 0 30 May 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 138 1 0 18 May 2024
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation Chanwoo Park Mingyang Liu Dingwen Kong Kaiqing Zhang Asuman Ozdaglar 141 41 0 30 Apr 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 175 1 0 18 Apr 2024
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks Ziping Xu Zifan Xu Runxuan Jiang Peter Stone Ambuj Tewari 83 1 0 03 Mar 2024
Smoothness Adaptive Hypothesis Transfer Learning Haotian Lin M. Reimherr 73 8 0 22 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 224 1 0 19 Feb 2024
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 96 3 0 18 Jan 2024
Estimation of Models with Limited Data by Leveraging Shared Structure Maryann Rui Thibaut Horel M. Dahleh 22 0 0 04 Oct 2023
LoRA ensembles for large language model fine-tuning Xi Wang Laurence Aitchison Maja Rudolph UQCV 111 39 0 29 Sep 2023
A Theory of Multimodal Learning Zhou Lu 75 11 0 21 Sep 2023
Nonlinear Meta-Learning Can Guarantee Faster Rates Dimitri Meunier Zhu Li Arthur Gretton Samory Kpotufe 170 7 0 20 Jul 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 98 4 0 13 May 2023
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Tomer Galanti András Gyorgy Marcus Hutter VLM SSL 67 4 0 23 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 101 3 0 22 Dec 2022
Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang Katie Kang Bruce D. Lee Claire Tomlin Sergey Levine Stephen Tu Nikolai Matni 115 24 0 01 Dec 2022
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models Hong Liu Sang Michael Xie Zhiyuan Li Tengyu Ma AI4CE 135 55 0 25 Oct 2022
Subspace Recovery from Heterogeneous Data with Non-isotropic Noise John C. Duchi Vitaly Feldman Lunjia Hu Kunal Talwar FedML 66 12 0 24 Oct 2022
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise Haotian Ye James Zou Linjun Zhang OOD 80 23 0 20 Oct 2022
A Kernel-Based View of Language Model Fine-Tuning Sadhika Malladi Alexander Wettig Dingli Yu Danqi Chen Sanjeev Arora VLM 157 69 0 11 Oct 2022
Generalization Properties of Retrieval-based Models Soumya Basu A. S. Rawat Manzil Zaheer 65 6 0 06 Oct 2022
Blessing of Class Diversity in Pre-training Yulai Zhao Jianshu Chen S. Du AI4CE 77 3 0 07 Sep 2022
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks Laura Fee Nern Harsh Raj Maurice Georgi Yash Sharma AAML 97 4 0 07 Aug 2022
FIB: A Method for Evaluation of Feature Impact Balance in Multi-Dimensional Data Xavier F. Cadet S. Ahmadi-Abhari Hamed Haddadi 26 0 0 10 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 189 36 0 04 Jul 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 106 10 0 18 Jun 2022
Global Convergence of Federated Learning for Mixed Regression Lili Su Jiaming Xu Pengkun Yang FedML 69 8 0 15 Jun 2022
On Hypothesis Transfer Learning of Functional Linear Models Haotian Lin M. Reimherr 71 5 0 09 Jun 2022
Positive Unlabeled Contrastive Learning Anish Acharya Sujay Sanghavi Li Jing Bhargav Bhushanam Dhruv Choudhary Michael G. Rabbat Inderjit Dhillon SSL 53 11 0 01 Jun 2022
Provable General Function Class Representation Learning in Multitask Bandits and MDPs Rui Lu Andrew Zhao S. Du Gao Huang OffRL 104 10 0 31 May 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 102 35 0 29 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 83 81 0 27 May 2022
Fast Instrument Learning with Faster Rates Ziyu Wang Yuhao Zhou Jun Zhu 102 3 0 22 May 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Yizhou Sun Ed H. Chi OOD LRM 142 30 0 19 May 2022
Multi-Environment Meta-Learning in Stochastic Linear Bandits Ahmadreza Moradipari Mohammad Ghavamzadeh Taha Rajabzadeh Christos Thrampoulidis M. Alizadeh 64 4 0 12 May 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 139 5 0 18 Apr 2022
Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions Binghui Peng Andrej Risteski CLL OOD 70 11 0 27 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh Chawla Huan Liu 133 20 0 17 Mar 2022