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Learning to Multi-Task by Active Sampling

Learning to Multi-Task by Active Sampling

20 February 2017
Sahil Sharma
Ashutosh Jha
Parikshit Hegde
Balaraman Ravindran
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Papers citing "Learning to Multi-Task by Active Sampling"

6 / 6 papers shown
Title
Auxiliary Loss Reweighting for Image Inpainting
Auxiliary Loss Reweighting for Image Inpainting
Siqi Hui
Sanping Zhou
Ye Deng
Wenli Huang
Jinjun Wang
43
1
0
14 Nov 2021
DORB: Dynamically Optimizing Multiple Rewards with Bandits
DORB: Dynamically Optimizing Multiple Rewards with Bandits
Ramakanth Pasunuru
Han Guo
Joey Tianyi Zhou
OffRL
32
6
0
15 Nov 2020
Multi-Source Domain Adaptation for Text Classification via
  DistanceNet-Bandits
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
30
114
0
13 Jan 2020
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
98
1,128
0
24 Oct 2019
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
36
66
0
19 Jun 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
24
2,168
0
25 Jul 2017
1