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GDumb: A Simple Approach that Questions Our Progress in Continual Learning.

, , and . ECCV (2), volume 12347 of Lecture Notes in Computer Science, page 524-540. Springer, (2020)

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Real-Time Evaluation in Online Continual Learning: A New Paradigm., , , , , , , and . CoRR, (2023)No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks., , , and . ICLR, OpenReview.net, (2021)Adversary Is the Best Teacher: Towards Extremely Compact Neural Networks., , and . AAAI, page 8137-8138. AAAI Press, (2018)STQ-Nets: Unifying Network Binarization and Structured Pruning., , and . BMVC, BMVA Press, (2020)kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies., , , , , , , and . CoRR, (2024)Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?, , , , , and . ICCV, page 18806-18815. IEEE, (2023)Learning clustered sub-spaces for sketch-based image retrieval., , , and . ACPR, page 599-603. IEEE, (2015)Deep Expander Networks: Efficient Deep Networks from Graph Theory., , and . ECCV (13), volume 11217 of Lecture Notes in Computer Science, page 20-36. Springer, (2018)From Categories to Classifier: Name-Only Continual Learning by Exploring the Web., , , , , and . CoRR, (2023)Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory., , , , and . WACV, page 821-829. IEEE Computer Society, (2018)