Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory

3 November 2017

Papers citing "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory"

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Title
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Anton van den Hengel 28 66 0 06 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 26 6 0 06 Jul 2021
Transfer Bayesian Meta-learning via Weighted Free Energy Minimization Yunchuan Zhang Sharu Theresa Jose Osvaldo Simeone 13 0 0 20 Jun 2021
How Tight Can PAC-Bayes be in the Small Data Regime? Andrew Y. K. Foong W. Bruinsma David R. Burt Richard Turner 19 20 0 07 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 37 27 0 06 Jun 2021
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning Sharu Theresa Jose Sangwook Park Osvaldo Simeone PER UD UQCV 11 17 0 01 Jun 2021
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning Nan Ding Xi Chen Tomer Levinboim Sebastian Goodman Radu Soricut 14 31 0 28 May 2021
How Fine-Tuning Allows for Effective Meta-Learning Kurtland Chua Qi Lei Jason D. Lee 23 48 0 05 May 2021
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning Bleema Rosenfeld Bipin Rajendran Osvaldo Simeone OffRL 25 9 0 21 Feb 2021
Weak Adaptation Learning -- Addressing Cross-domain Data Insufficiency with Weak Annotator Shichao Xu Lixu Wang Yixuan Wang Qi Zhu 24 15 0 15 Feb 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 27 34 0 12 Feb 2021
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data Haoang Chi Feng Liu Bo Han Wenjing Yang L. Lan Tongliang Liu Gang Niu Mingyuan Zhou Masashi Sugiyama 26 42 0 08 Feb 2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 8 12 0 07 Feb 2021
Meta-strategy for Learning Tuning Parameters with Guarantees D. Meunier Pierre Alquier 27 8 0 04 Feb 2021
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning Sharu Theresa Jose Osvaldo Simeone 21 11 0 21 Jan 2021
Upper and Lower Bounds on the Performance of Kernel PCA Maxime Haddouche Benjamin Guedj John Shawe-Taylor 19 4 0 18 Dec 2020
Probing Few-Shot Generalization with Attributes Mengye Ren Eleni Triantafillou Kuan-Chieh Jackson Wang James Lucas Jake C. Snell Xaq Pitkow A. Tolias R. Zemel VLM OOD 21 3 0 10 Dec 2020
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings Théophile Cantelobre Benjamin Guedj Maria Perez-Ortiz John Shawe-Taylor 18 3 0 07 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
All You Need is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran Simone Rossi Dimitrios Milios Maurizio Filippone OOD BDL 23 56 0 25 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 51 1,877 0 12 Nov 2020
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization Sharu Theresa Jose Osvaldo Simeone G. Durisi 24 17 0 04 Nov 2020
Conditional Mutual Information-Based Generalization Bound for Meta Learning A. Rezazadeh Sharu Theresa Jose G. Durisi Osvaldo Simeone 15 1 0 21 Oct 2020
Theoretical bounds on estimation error for meta-learning James Lucas Mengye Ren Irene Kameni T. Pitassi R. Zemel 12 12 0 14 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
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework T. Lew Apoorva Sharma James Harrison Andrew Bylard Marco Pavone 20 44 0 26 Aug 2020
Efficient hyperparameter optimization by way of PAC-Bayes bound minimization John J. Cherian Andrew G. Taube R. McGibbon Panagiotis Angelikopoulos Guy Blanc M. Snarski D. D. Richman J. L. Klepeis D. Shaw 12 6 0 14 Aug 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs Amy Zhang Shagun Sodhani Khimya Khetarpal Joelle Pineau 31 5 0 14 Jul 2020
On the Global Optimality of Model-Agnostic Meta-Learning Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 6 43 0 23 Jun 2020
Information-Theoretic Generalization Bounds for Meta-Learning and Applications Sharu Theresa Jose Osvaldo Simeone 17 45 0 09 May 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 11 125 0 27 Apr 2020
Invariant Causal Prediction for Block MDPs Amy Zhang Clare Lyle Shagun Sodhani Angelos Filos Marta Z. Kwiatkowska Joelle Pineau Y. Gal Doina Precup OffRL AI4CE OOD 19 139 0 12 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 33 7 0 05 Mar 2020
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss Vincent Fortuin Martin Josifoski Andreas Krause UQCV 12 125 0 13 Feb 2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems Osvaldo Simeone Sangwoo Park Joonhyuk Kang AI4CE 25 62 0 05 Jan 2020
Meta-Learning PAC-Bayes Priors in Model Averaging Yimin Huang Weiran Huang Liang-Sheng Li Zhenguo Li UD 11 8 0 24 Dec 2019
Meta-Learning without Memorization Mingzhang Yin George Tucker Mingyuan Zhou Sergey Levine Chelsea Finn VLM 11 185 0 09 Dec 2019
A Theoretical Analysis of the Number of Shots in Few-Shot Learning Tianshi Cao M. Law Sanja Fidler 17 63 0 25 Sep 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Cuong C. Nguyen Thanh-Toan Do G. Carneiro OOD BDL UQCV 19 54 0 27 Jul 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 18 353 0 06 Jun 2019
Discrete Infomax Codes for Supervised Representation Learning Yoonho Lee Wonjae Kim Wonpyo Park Seungjin Choi 20 4 0 28 May 2019
Meta-learners' learning dynamics are unlike learners' Neil C. Rabinowitz OffRL 23 16 0 03 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 39 1,794 0 10 Apr 2019
Provable Guarantees for Gradient-Based Meta-Learning M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 22 147 0 27 Feb 2019
PAC-Bayes Analysis of Sentence Representation Kento Nozawa Issei Sato 19 3 0 12 Feb 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 11 220 0 16 Jan 2019
HyperAdam: A Learnable Task-Adaptive Adam for Network Training Shipeng Wang Jian Sun Zongben Xu ODL 17 22 0 22 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017
Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier Benjamin Guedj 84 72 0 23 Oct 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016