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Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets

Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets

Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
ArXiv (abs)PDFHTML

Papers citing "Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets"

4 / 4 papers shown
Title
Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels
Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels
Federica Spinola
Philipp Benz
Minhyeong Yu
Tae-Hoon Kim
108
1
0
15 Jun 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Iordanis Fostiropoulos
Jiaye Zhu
Laurent Itti
MoMeCLL
78
3
0
25 May 2023
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images
Prithviraj Dhar
Amit Kumar
Kirsten Kaplan
Khushi Gupta
Rakesh Ranjan
Ramalingam Chellappa
AAML
123
13
0
22 Dec 2021
Specializing Multilingual Language Models: An Empirical Study
Specializing Multilingual Language Models: An Empirical Study
Ethan C. Chau
Noah A. Smith
225
28
0
16 Jun 2021

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