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Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning

Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning

27 October 2021
Milad Abdollahzadeh
Touba Malekzadeh
Ngai-man Cheung
ArXivPDFHTML

Papers citing "Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning"

9 / 9 papers shown
Title
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on
  Light-Weighed Backbones and Effective Measurement of Multi-Task Learning
  Challenges by Feature Disentanglement
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
Dayou Mao
Yuhao Chen
Yifan Wu
Maximilian Gilles
Alexander Wong
AAML
33
0
0
05 Feb 2024
Fair Generative Models via Transfer Learning
Fair Generative Models via Transfer Learning
Christopher T. H. Teo
Milad Abdollahzadeh
Ngai-man Cheung
19
24
0
02 Dec 2022
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions
Uncertainty-Aware Meta-Learning for Multimodal Task Distributions
Cesar Almecija
Apoorva Sharma
Navid Azizan
OOD
UQCV
17
3
0
04 Oct 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot
  Classification
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification
Yunqing Zhao
Ngai-man Cheung
BDL
21
12
0
23 Aug 2022
A Closer Look at Few-shot Image Generation
A Closer Look at Few-shot Image Generation
Yunqing Zhao
Henghui Ding
Houjing Huang
Ngai-man Cheung
24
72
0
08 May 2022
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
185
1,027
0
06 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning
Xiaopeng Yan
Ziliang Chen
Anni Xu
Xiaoxi Wang
Xiaodan Liang
Liang Lin
ObjD
160
446
0
28 Sep 2019
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
164
0
21 Aug 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
308
11,681
0
09 Mar 2017
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