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Chameleon: Learning Model Initializations Across Tasks With Different
  Schemas

Chameleon: Learning Model Initializations Across Tasks With Different Schemas

30 September 2019
L. Brinkmeyer
Rafael Rêgo Drumond
Randolf Scholz
Josif Grabocka
Lars Schmidt-Thieme
    CLL
ArXivPDFHTML

Papers citing "Chameleon: Learning Model Initializations Across Tasks With Different Schemas"

6 / 6 papers shown
Title
Meta-learning of semi-supervised learning from tasks with heterogeneous
  attribute spaces
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces
Tomoharu Iwata
Atsutoshi Kumagai
29
2
0
09 Nov 2023
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
26
7
0
07 Apr 2022
Measuring and Harnessing Transference in Multi-Task Learning
Measuring and Harnessing Transference in Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
28
15
0
29 Oct 2020
HIDRA: Head Initialization across Dynamic targets for Robust
  Architectures
HIDRA: Head Initialization across Dynamic targets for Robust Architectures
Rafael Rêgo Drumond
L. Brinkmeyer
Josif Grabocka
Lars Schmidt-Thieme
21
4
0
28 Oct 2019
Probabilistic Model-Agnostic Meta-Learning
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
389
11,700
0
09 Mar 2017
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