Modular Meta-Learning with Shrinkage

Modular Meta-Learning with Shrinkage

12 September 2019

Feryal M. P. Behbahani

David Budden

Matthew W. Hoffman

Nando de Freitas

Papers citing "Modular Meta-Learning with Shrinkage"

18 / 18 papers shown

Title
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 77 1 0 03 Jan 2025
Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy Sunshine Jiang William Yue Jaedong Hwang Abhiram Iyer Ila Fiete OOD 41 2 0 09 Sep 2024
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook Xuan Di Rongye Shi Zhaobin Mo Yongjie Fu PINN AI4TS AI4CE 29 28 0 03 Mar 2023
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 36 8 0 02 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 32 27 0 15 Jul 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 31 8 0 09 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 43 9 0 07 Jun 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 42 57 0 31 Mar 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 30 11 0 09 Oct 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 16 11 0 15 Jun 2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems Osvaldo Simeone Sangwoo Park Joonhyuk Kang AI4CE 31 62 0 05 Jan 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 639 0 19 Sep 2019
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis Ye Jia Yu Zhang Ron J. Weiss Quan Wang Jonathan Shen ... Z. Chen Patrick Nguyen Ruoming Pang Ignacio López Moreno Yonghui Wu 207 820 0 12 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 362 11,684 0 09 Mar 2017