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Tailoring: encoding inductive biases by optimizing unsupervised
  objectives at prediction time

Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time

22 September 2020
Ferran Alet
Maria Bauza
Kenji Kawaguchi
Nurullah Giray Kuru
Tomas Lozano-Perez
L. Kaelbling
    AI4CE
ArXivPDFHTML

Papers citing "Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time"

11 / 11 papers shown
Title
Functional Risk Minimization
Functional Risk Minimization
Ferran Alet
Clement Gehring
Tomás Lozano-Pérez
Kenji Kawaguchi
Joshua B. Tenenbaum
Leslie Pack Kaelbling
OffRL
60
0
0
31 Dec 2024
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
47
55
0
10 Oct 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
34
121
0
19 Jan 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward
  Trustworthy Estimation of Theory-Driven Models
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
Naoya Takeishi
Alexandros Kalousis
AAML
35
3
0
24 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
OCD: Learning to Overfit with Conditional Diffusion Models
Shahar Lutati
Lior Wolf
DiffM
20
8
0
02 Oct 2022
Invariance Through Latent Alignment
Invariance Through Latent Alignment
Takuma Yoneda
Ge Yang
Matthew R. Walter
Bradly C. Stadie
OOD
14
9
0
15 Dec 2021
Noether Networks: Meta-Learning Useful Conserved Quantities
Noether Networks: Meta-Learning Useful Conserved Quantities
Ferran Alet
Dylan D. Doblar
Allan Zhou
J. Tenenbaum
Kenji Kawaguchi
Chelsea Finn
65
26
0
06 Dec 2021
MEMO: Test Time Robustness via Adaptation and Augmentation
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang
Sergey Levine
Chelsea Finn
OOD
TTA
9
299
0
18 Oct 2021
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
143
407
0
25 Sep 2019
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
281
11,677
0
09 Mar 2017
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
212
1,156
0
24 Oct 2016
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