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@inproceedings{bb158951,
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@inproceedings{bb158952,
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@inproceedings{bb158953,
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@inproceedings{bb158954,
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@inproceedings{bb158955,
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@inproceedings{bb158956,
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@inproceedings{bb158957,
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        BOOKTITLE = "ICPR22",
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@inproceedings{bb158959,
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        TITLE = "SHERLock: Self-Supervised Hierarchical Event Representation Learning",
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@inproceedings{bb158960,
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        TITLE = "Beyond Periodicity: Towards a Unifying Framework for Activations in
Coordinate-MLPs",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXXIII:142-158",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern641.html#TT154834"}

@inproceedings{bb158961,
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        TITLE = "X-Learner: Learning Cross Sources and Tasks for Universal Visual
Representation",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXVI:509-528",
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@inproceedings{bb158962,
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        TITLE = "Visual Knowledge Tracing",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXV:415-431",
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@inproceedings{bb158963,
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        TITLE = "MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal
Representation Learning",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXXV:230-248",
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@inproceedings{bb158964,
        AUTHOR = "Xiong, Y.H. and Hsieh, C.J.",
        TITLE = "Learning to Learn with Smooth Regularization",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXIII:550-565",
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@inproceedings{bb158965,
        AUTHOR = "Kim, K.I.",
        TITLE = "Robust Combination of Distributed Gradients Under Adversarial
Perturbations",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "254-263",
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@inproceedings{bb158966,
        AUTHOR = "Chen, X.L. and He, K.M.",
        TITLE = "Exploring Simple Siamese Representation Learning",
        BOOKTITLE = CVPR21,
        YEAR = "2021",
        PAGES = "15745-15753",
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@inproceedings{bb158967,
        AUTHOR = "Yan, S. and Xiong, Y.J. and Kundu, K. and Yang, S. and Deng, S.Q. and Wang, M. and Xia, W. and Soatto, S.",
        TITLE = "Positive-Congruent Training: Towards Regression-Free Model Updates",
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@inproceedings{bb158968,
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        TITLE = "Learning Goals from Failure",
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@inproceedings{bb158969,
        AUTHOR = "Sarfraz, F. and Arani, E. and Zonooz, B.",
        TITLE = "Noisy Concurrent Training for Efficient Learning under Label Noise",
        BOOKTITLE = WACV21,
        YEAR = "2021",
        PAGES = "3158-3167",
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@inproceedings{bb158970,
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        TITLE = "Learning with Delayed Feedback",
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@inproceedings{bb158971,
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        TITLE = "Image Representation Learning by Transformation Regression",
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@inproceedings{bb158972,
        AUTHOR = "Eldeeb, H. and Amashukeli, S. and El Shawi, R.",
        TITLE = "An Empirical Analysis of Integrating Feature Extraction to Automated
Machine Learning Pipeline",
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@inproceedings{bb158973,
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        TITLE = "A Novel Self-taught Learning Framework Using Spatial Pyramid Matching
For Scene Classification",
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@inproceedings{bb158974,
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        TITLE = "Machine Learning in a Post Moore's Law World:
Quantum vs. Neuromorphic Substrates",
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@inproceedings{bb158975,
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@inproceedings{bb158976,
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@inproceedings{bb158977,
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@inproceedings{bb158991,
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@inproceedings{bb158992,
        AUTHOR = "Aodha, O.M. and Stathopoulos, V. and Brostow, G.J. and Terry, M. and Girolami, M. and Jones, K.E.",
        TITLE = "Putting the Scientist in the Loop:
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        YEAR = "2014",
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@inproceedings{bb158993,
        AUTHOR = "Grenier, P.A. and Brun, L. and Villemin, D.",
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        YEAR = "2014",
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@inproceedings{bb158994,
        AUTHOR = "Grenier, P.A. and Brun, L. and Villemin, D.",
        TITLE = "Incorporating Molecule's Stereisomerism within the Machine Learning
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        YEAR = "2014",
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@inproceedings{bb158995,
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@inproceedings{bb158996,
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@inproceedings{bb158999,
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