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The Traveling Observer Model: Multi-task Learning Through Spatial
  Variable Embeddings

The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings

5 October 2020
Elliot Meyerson
Risto Miikkulainen
ArXivPDFHTML

Papers citing "The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings"

4 / 4 papers shown
Title
Direction-oriented Multi-objective Learning: Simple and Provable
  Stochastic Algorithms
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
Peiyao Xiao
Hao Ban
Kaiyi Ji
27
18
0
28 May 2023
Knowledge from Large-Scale Protein Contact Prediction Models Can Be
  Transferred to the Data-Scarce RNA Contact Prediction Task
Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
Yiren Jian
Chongyang Gao
Chen Zeng
Yunjie Zhao
Soroush Vosoughi
24
0
0
13 Feb 2023
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
338
11,684
0
09 Mar 2017
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
524
0
27 Jun 2012
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