Few-Shot Learning via Learning the Representation, Provably

21 February 2020

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

50 / 76 papers shown

Title
FloE: On-the-Fly MoE Inference on Memory-constrained GPU Yuxin Zhou Zheng Li Junxuan Zhang Jue Wang Yuanda Wang Zhongle Xie Ke Chen Lidan Shou MoE 68 0 0 09 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds Aoran Chen Yang Feng 33 0 0 05 May 2025
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization Namrata Vaswani 49 0 0 20 Apr 2025
Byzantine Resilient Federated Multi-Task Representation Learning Tuan Le Shana Moothedath 55 0 0 24 Mar 2025
Representation Retrieval Learning for Heterogeneous Data Integration Qi Xu Annie Qu 57 0 0 12 Mar 2025
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA Shuangyi Chen Yuanxin Guo Yue Ju Harik Dalal Ashish Khisti 53 2 0 03 Feb 2025
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits Jiabin Lin Shana Moothedath Namrata Vaswani 64 4 0 08 Jan 2025
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 49 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 41 2 0 07 Oct 2024
Learning Unstable Continuous-Time Stochastic Linear Control Systems Reza Sadeghi Hafshejani Mohamad Kazem Shirani Fradonbeh 41 0 0 17 Sep 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 75 1 0 18 May 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 53 1 0 18 Apr 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 89 0 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 37 3 0 18 Jan 2024
Nonlinear Meta-Learning Can Guarantee Faster Rates Dimitri Meunier Zhu Li Arthur Gretton Samory Kpotufe 35 6 0 20 Jul 2023
Meta-Learning Adversarial Bandit Algorithms M. Khodak Ilya Osadchiy Keegan Harris Maria-Florina Balcan Kfir Y. Levy Ron Meir Zhiwei Steven Wu FedML 32 2 0 05 Jul 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 38 4 0 13 May 2023
Limits of Model Selection under Transfer Learning Steve Hanneke Samory Kpotufe Yasaman Mahdaviyeh 52 6 0 29 Apr 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 41 8 0 20 Mar 2023
Efficient Computation Sharing for Multi-Task Visual Scene Understanding Sara Shoouri Mingyu Yang Zichen Fan Hun-Seok Kim MoE 31 3 0 16 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 32 4 0 08 Mar 2023
On the Provable Advantage of Unsupervised Pretraining Jiawei Ge Shange Tang Jianqing Fan Chi Jin SSL 35 16 0 02 Mar 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 62 9 0 23 Feb 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits Yihan Du Longbo Huang Wen Sun 30 4 0 09 Feb 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 43 3 0 22 Dec 2022
Fair Generative Models via Transfer Learning Christopher T. H. Teo Milad Abdollahzadeh Ngai-man Cheung 21 24 0 02 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 45 23 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 45 50 0 25 Oct 2022
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve Giannis Daras Negin Raoof Zoi Gkalitsiou A. Dimakis 35 2 0 20 Oct 2022
A Kernel-Based View of Language Model Fine-Tuning Sadhika Malladi Alexander Wettig Dingli Yu Danqi Chen Sanjeev Arora VLM 78 63 0 11 Oct 2022
Generalization Properties of Retrieval-based Models Soumya Basu A. S. Rawat Manzil Zaheer 39 6 0 06 Oct 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 41 50 0 30 Sep 2022
Blessing of Class Diversity in Pre-training Yulai Zhao Jianshu Chen S. Du AI4CE 31 3 0 07 Sep 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 131 32 0 04 Jul 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 35 8 0 18 Jun 2022
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem Ruichen Jiang Nazanin Abolfazli Aryan Mokhtari Erfan Yazdandoost Hamedani 43 21 0 17 Jun 2022
Global Convergence of Federated Learning for Mixed Regression Lili Su Jiaming Xu Pengkun Yang FedML 38 7 0 15 Jun 2022
On Hypothesis Transfer Learning of Functional Linear Models Haotian Lin M. Reimherr 35 3 0 09 Jun 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 25 33 0 29 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 36 75 0 27 May 2022
Fast Instrument Learning with Faster Rates Ziyu Wang Yuhao Zhou Jun Zhu 34 3 0 22 May 2022
Multi-Environment Meta-Learning in Stochastic Linear Bandits Ahmadreza Moradipari Mohammad Ghavamzadeh Taha Rajabzadeh Christos Thrampoulidis M. Alizadeh 19 4 0 12 May 2022
Learning A Simulation-based Visual Policy for Real-world Peg In Unseen Holes Liangru Xie Hongxiang Yu Kechun Xu Tong Yang Minhang Wang Haojian Lu R. Xiong Yue Wang 36 0 0 09 May 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 29 4 0 18 Apr 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 43 16 0 29 Mar 2022
Few-Shot Learning on Graphs Chuxu Zhang Kaize Ding Jundong Li Xiangliang Zhang Yanfang Ye Nitesh Chawla Huan Liu 37 18 0 17 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 52 29 0 25 Feb 2022
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 31 17 0 24 Feb 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 83 23 0 10 Feb 2022
Learning Mixtures of Linear Dynamical Systems Yanxi Chen H. Vincent Poor 25 17 0 26 Jan 2022