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
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding Jiechao Guan Zhiwu Lu Tao Xiang Timothy M. Hospedales 25 0 0 02 Dec 2020
A Distribution-Dependent Analysis of Meta-Learning Mikhail Konobeev Ilja Kuzborskij Csaba Szepesvári OOD 18 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 21 31 0 30 Jul 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang Shagun Sodhani Khimya Khetarpal Joelle Pineau 31 5 0 14 Jul 2020
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models Lifu Tu Garima Lalwani Spandana Gella He He LRM 19 184 0 14 Jul 2020
Online Parameter-Free Learning of Multiple Low Variance Tasks Giulia Denevi Dimitris Stamos Massimiliano Pontil 6 0 0 11 Jul 2020
A No-Free-Lunch Theorem for MultiTask Learning Steve Hanneke Samory Kpotufe 18 39 0 29 Jun 2020
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs Alekh Agarwal Sham Kakade A. Krishnamurthy Wen Sun OffRL 41 222 0 18 Jun 2020
Learning Functions to Study the Benefit of Multitask Learning Gabriele Bettgenhauser Michael A. Hedderich Dietrich Klakow 8 4 0 09 Jun 2020
Meta-learning with Stochastic Linear Bandits Leonardo Cella A. Lazaric Massimiliano Pontil FedML 22 56 0 18 May 2020
PAC-Bayes meta-learning with implicit task-specific posteriors Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 39 7 0 05 Mar 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization Sanjeev Arora S. Du Sham Kakade Yuping Luo Nikunj Saunshi 18 60 0 24 Feb 2020
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization Giulia Denevi C. Ciliberto Riccardo Grazzi Massimiliano Pontil 20 108 0 25 Mar 2019
A Principled Approach for Learning Task Similarity in Multitask Learning Changjian Shui Mahdieh Abbasi Louis-Émile Robitaille Boyu Wang Christian Gagné 21 56 0 21 Mar 2019
Multi-task Learning for Target-dependent Sentiment Classification Divam Gupta Kushagra Singh Soumen Chakrabarti Tanmoy Chakraborty 19 8 0 08 Feb 2019
Learning to Multitask Yu Zhang Ying Wei Qiang Yang 22 53 0 19 May 2018
Incremental Learning-to-Learn with Statistical Guarantees Giulia Denevi C. Ciliberto Dimitris Stamos Massimiliano Pontil CLL 21 48 0 21 Mar 2018
A Bridge Between Hyperparameter Optimization and Learning-to-learn Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 32 20 0 18 Dec 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory Ron Amit Ron Meir BDL MLT 32 173 0 03 Nov 2017
$When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications$ When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$ -consistency and Neuroscience Applications H. Zhou Yilin Zhang V. Ithapu Sterling C. Johnson G. Wahba Vikas Singh OOD 33 11 0 02 Sep 2017
Lifelong Metric Learning Gan Sun Cong Yang Ji Liu Xiaowei Xu OffRL CLL 19 28 0 03 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning Niloofar Yousefi Yunwen Lei Marius Kloft M. Mollaghasemi G. Anagnostopoulos 21 27 0 18 Feb 2016
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 128 379 0 11 Jul 2010