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Meta-Learning via Learned Loss

Meta-Learning via Learned Loss

12 June 2019
Sarah Bechtle
Artem Molchanov
Yevgen Chebotar
Edward Grefenstette
Ludovic Righetti
Gaurav Sukhatme
Franziska Meier
ArXivPDFHTML

Papers citing "Meta-Learning via Learned Loss"

28 / 28 papers shown
Title
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
42
0
0
21 Jan 2025
Neural Relational Inference with Fast Modular Meta-learning
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet
Erica Weng
Tomás Lozano Pérez
L. Kaelbling
63
56
0
10 Oct 2023
Writer adaptation for offline text recognition: An exploration of neural
  network-based methods
Writer adaptation for offline text recognition: An exploration of neural network-based methods
Tobias van der Werff
Maruf A. Dhali
Lambert Schomaker
47
0
0
11 Jul 2023
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
BC-IRL: Learning Generalizable Reward Functions from Demonstrations
Andrew Szot
Amy Zhang
Dhruv Batra
Z. Kira
Franziska Meier
OOD
OffRL
31
8
0
28 Mar 2023
Learning to Optimize for Reinforcement Learning
Learning to Optimize for Reinforcement Learning
Qingfeng Lan
Rupam Mahmood
Shuicheng Yan
Zhongwen Xu
OffRL
36
6
0
03 Feb 2023
Online Loss Function Learning
Online Loss Function Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
38
5
0
30 Jan 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
124
0
19 Jan 2023
General-Purpose In-Context Learning by Meta-Learning Transformers
General-Purpose In-Context Learning by Meta-Learning Transformers
Louis Kirsch
James Harrison
Jascha Narain Sohl-Dickstein
Luke Metz
46
72
0
08 Dec 2022
Meta-learning Based Short-Term Passenger Flow Prediction for
  Newly-Operated Urban Rail Transit Stations
Meta-learning Based Short-Term Passenger Flow Prediction for Newly-Operated Urban Rail Transit Stations
Kuo Han
Jinlei Zhang
Chunqi Zhu
Lixing Yang
Xiaoyu Huang
Songsong Li
AI4TS
30
2
0
13 Oct 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
Christian Raymond
Qi Chen
Bing Xue
Mengjie Zhang
FedML
31
11
0
19 Sep 2022
MetaCon: Unified Predictive Segments System with Trillion Concept
  Meta-Learning
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning
Keqian Li
Yifan Hu
Logan Palanisamy
Lisa Jones
A. Gupta
J. E. Grigsby
Ili Selinger
Matt Gillingham
Fei Tan
28
1
0
09 Mar 2022
SuperCone: Unified User Segmentation over Heterogeneous Experts via
  Concept Meta-learning
SuperCone: Unified User Segmentation over Heterogeneous Experts via Concept Meta-learning
Keqian Li
Yifan Hu
38
0
0
09 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
CoMPS: Continual Meta Policy Search
CoMPS: Continual Meta Policy Search
Glen Berseth
Zhiwei Zhang
Grace Zhang
Chelsea Finn
Sergey Levine
CLL
OffRL
28
16
0
08 Dec 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement
  Learning
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning
Edoardo Cetin
Oya Celiktutan
OffRL
44
17
0
07 Oct 2021
Introducing Symmetries to Black Box Meta Reinforcement Learning
Introducing Symmetries to Black Box Meta Reinforcement Learning
Louis Kirsch
Sebastian Flennerhag
Hado van Hasselt
A. Friesen
Junhyuk Oh
Yutian Chen
22
30
0
22 Sep 2021
LEO: Learning Energy-based Models in Factor Graph Optimization
LEO: Learning Energy-based Models in Factor Graph Optimization
Paloma Sodhi
Eric Dexheimer
Mustafa Mukadam
Stuart Anderson
Michael Kaess
42
16
0
04 Aug 2021
Evolving Reinforcement Learning Algorithms
Evolving Reinforcement Learning Algorithms
John D. Co-Reyes
Yingjie Miao
Daiyi Peng
Esteban Real
Sergey Levine
Quoc V. Le
Honglak Lee
Aleksandra Faust
46
73
0
08 Jan 2021
Policy Gradient RL Algorithms as Directed Acyclic Graphs
Policy Gradient RL Algorithms as Directed Acyclic Graphs
J. Luis
26
0
0
14 Dec 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Neha Das
Sarah Bechtle
Todor Davchev
Dinesh Jayaraman
Akshara Rai
Franziska Meier
121
82
0
18 Oct 2020
Effective Regularization Through Loss-Function Metalearning
Effective Regularization Through Loss-Function Metalearning
Santiago Gonzalez
Risto Miikkulainen
29
5
0
02 Oct 2020
Offline Meta-Reinforcement Learning with Advantage Weighting
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
38
104
0
13 Aug 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
Zhongwen Xu
H. V. Hasselt
Matteo Hessel
Junhyuk Oh
Satinder Singh
David Silver
19
77
0
16 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State
  Entropy Estimate
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti
Lorenzo Pratissoli
Marcello Restelli
11
19
0
09 Jul 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
93
1,935
0
11 Apr 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
30
46
0
11 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
457
11,715
0
09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
133
409
0
06 Mar 2017
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