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        TITLE = "Semi-Supervised Depth Estimation by Multi-Task Learning",
        BOOKTITLE = "ICPR22",
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@inproceedings{bb125902,
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        TITLE = "Virtual Tasks but Real Gains: Improving Multi-Task Learning",
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@inproceedings{bb125903,
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@inproceedings{bb125904,
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        TITLE = "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXVII:514-530",
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@inproceedings{bb125905,
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        TITLE = "MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning",
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@inproceedings{bb125906,
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Are Transformer-based Models More Efficient?",
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@inproceedings{bb125907,
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        TITLE = "Improving Few-Shot Learning Through Multi-task Representation Learning
Theory",
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@inproceedings{bb125908,
        AUTHOR = "Li, W. and Cao, Z. and Feng, J.J. and Zhou, J. and Lu, J.W.",
        TITLE = "Label2Label: A Language Modeling Framework for Multi-attribute Learning",
        BOOKTITLE = ECCV22,
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        PAGES = "XII:562-579",
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@inproceedings{bb125909,
        AUTHOR = "Kim, S. and Choi, H. and Min, D.B.",
        TITLE = "Sequential Cross Attention Based Multi-Task Learning",
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@inproceedings{bb125910,
        AUTHOR = "Rivera, C.G. and Handelman, D.A. and Ratto, C.R. and Patrone, D. and Paulhamus, B.L.",
        TITLE = "Visual Goal-Directed Meta-Imitation Learning",
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@inproceedings{bb125911,
        AUTHOR = "Spencer, J. and Bowden, R. and Hadfield, S.",
        TITLE = "Medusa: Universal Feature Learning via Attentional Multitasking",
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@inproceedings{bb125912,
        AUTHOR = "Li, W.H. and Liu, X. and Bilen, H.",
        TITLE = "Learning Multiple Dense Prediction Tasks from Partially Annotated
Data",
        BOOKTITLE = CVPR22,
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@inproceedings{bb125913,
        AUTHOR = "Yang, L. and Rakin, A.S. and Fan, D.L.",
        TITLE = "DA3: Dynamic Additive Attention Adaption for Memory-Efficient
On-Device Multi-Domain Learning",
        BOOKTITLE = ECV22,
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@inproceedings{bb125914,
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@inproceedings{bb125915,
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@inproceedings{bb125949,
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@inproceedings{bb125951,
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@inproceedings{bb125953,
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@inproceedings{bb125954,
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@inproceedings{bb125955,
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@inproceedings{bb125956,
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@inproceedings{bb125957,
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@inproceedings{bb125958,
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@inproceedings{bb125959,
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@article{bb125996,
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@article{bb125997,
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@article{bb125998,
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@article{bb125999,
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