The Benefit of Multitask Representation Learning

23 May 2015

Andreas Maurer

Massimiliano Pontil

Bernardino Romera-Paredes

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Papers citing "The Benefit of Multitask Representation Learning"

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Title
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds Aoran Chen Yang Feng 26 0 0 05 May 2025
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1) Jing Bi Susan Liang Xiaofei Zhou Pinxin Liu Junjia Guo ... C. Chen Lianggong Wen Zhang Liu Jiebo Luo Chenliang Xu LRM 38 2 0 04 Apr 2025
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 139 0 0 07 Mar 2025
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes V. Chauhan Lei A. Clifton Gaurav Nigam David A. Clifton CML 63 0 0 12 Feb 2025
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 44 0 0 31 Jan 2025
The Effects of Multi-Task Learning on ReLU Neural Network Functions Julia B. Nakhleh Joseph Shenouda Robert D. Nowak 34 1 0 29 Oct 2024
Rethinking Meta-Learning from a Learning Lens Jingyao Wang Wenwen Qiang Chuxiong Sun Lingyu Si Jiangmeng Li 46 1 0 13 Sep 2024
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion Nico Bohlinger Grzegorz Czechmanowski Maciej Krupka Piotr Kicki Krzysztof Walas Jan Peters Davide Tateo 50 14 0 10 Sep 2024
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning Naoki Hiratani CLL 35 2 0 30 May 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback Ruitao Chen Liwei Wang 72 1 0 18 May 2024
An Information-Theoretic Analysis of In-Context Learning Hong Jun Jeon Jason D. Lee Qi Lei Benjamin Van Roy 27 18 0 28 Jan 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 29 0 0 10 Jan 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation V. Chauhan Jiandong Zhou Ghadeer O. Ghosheh Soheila Molaei David A. Clifton 30 8 0 25 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Limits of Model Selection under Transfer Learning Steve Hanneke Samory Kpotufe Yasaman Mahdaviyeh 29 6 0 29 Apr 2023
Functional Knowledge Transfer with Self-supervised Representation Learning Prakash Chandra Chhipa Muskan Chopra G. Mengi Varun Gupta Richa Upadhyay Meenakshi Subhash Chippa Kanjar De Rajkumar Saini Seiichi Uchida Marcus Liwicki SSL 16 2 0 12 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 26 4 0 08 Mar 2023
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis? Qingyi Wang Shenhao Wang Yunhan Zheng Hongzhou Lin Xiaohu Zhang Jinhua Zhao Joan Walker 13 9 0 07 Mar 2023
On the Provable Advantage of Unsupervised Pretraining Jiawei Ge Shange Tang Jianqing Fan Chi Jin SSL 33 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 40 8 0 23 Feb 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits Yihan Du Longbo Huang Wen Sun 21 4 0 09 Feb 2023
Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang Katie Kang Bruce D. Lee Claire Tomlin Sergey Levine Stephen Tu Nikolai Matni 35 23 0 01 Dec 2022
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) Jimmy Hickey Jonathan P. Williams Emily C. Hector UQCV BDL 23 2 0 29 Nov 2022
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty Shiyuan He Hanxuan Ye Kejun He 21 0 0 09 Nov 2022
InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference Mu Yuan Lan Zhang Fengxiang He Xueting Tong Miao-Hui Song Zhengyuan Xu Xiang-Yang Li 24 2 0 28 Sep 2022
Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning Y. Nasir L. Durlofsky 23 3 0 21 Jul 2022
Meta Representation Learning with Contextual Linear Bandits Leonardo Cella Karim Lounici Massimiliano Pontil 34 5 0 30 May 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 21 33 0 29 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML 29 75 0 27 May 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift Vincent Jeanselme G. Martin Niels Peek M. Sperrin Brian D. M. Tom Jessica Barrett OOD 26 4 0 26 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
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 19 4 0 18 Apr 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 35 16 0 29 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 47 29 0 25 Feb 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 75 23 0 10 Feb 2022
Learning Mixtures of Linear Dynamical Systems Yanxi Chen H. Vincent Poor 20 17 0 26 Jan 2022
Linear Speedup in Personalized Collaborative Learning El Mahdi Chayti Sai Praneeth Karimireddy Sebastian U. Stich Nicolas Flammarion Martin Jaggi FedML 15 13 0 10 Nov 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective? Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki S. Maeda Kohei Hayashi 40 12 0 25 Aug 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 56 11 0 10 Aug 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Y. Zou GAN 36 52 0 18 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Bo-wen Li 37 88 0 16 Jun 2021
On the Power of Multitask Representation Learning in Linear MDP Rui Lu Gao Huang S. Du 24 28 0 15 Jun 2021
Meta-Adaptive Nonlinear Control: Theory and Algorithms Guanya Shi Kamyar Azizzadenesheli Michael O'Connell Soon-Jo Chung Yisong Yue 26 41 0 11 Jun 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin G. Walters Rose Yu OOD AI4TS AI4CE 24 31 0 20 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 30 181 0 11 Feb 2021
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning Ying Bi Bing Xue Mengjie Zhang 24 24 0 17 Dec 2020
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding Jiechao Guan Zhiwu Lu Tao Xiang Timothy M. Hospedales 20 0 0 02 Dec 2020
A Distribution-Dependent Analysis of Meta-Learning Mikhail Konobeev Ilja Kuzborskij Csaba Szepesvári OOD 11 5 0 31 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 45 10 0 05 Oct 2020
Machine learning for complete intersection Calabi-Yau manifolds: a methodological study Harold Erbin Riccardo Finotello 18 31 0 30 Jul 2020