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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

IEEE International Conference on Multimedia and Expo (ICME), 2020
15 March 2020
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
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
205
2
0
15 Jun 2023
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
Batch Model Consolidation: A Multi-Task Model Consolidation FrameworkComputer Vision and Pattern Recognition (CVPR), 2023
Iordanis Fostiropoulos
Jiaye Zhu
Laurent Itti
MoMeCLL
205
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 ImagesComputer Vision and Pattern Recognition (CVPR), 2021
Prithviraj Dhar
Amit Kumar
Kirsten Kaplan
Khushi Gupta
Rakesh Ranjan
Ramalingam Chellappa
AAML
271
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
527
30
0
16 Jun 2021
1
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