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Deep Expander Networks: Efficient Deep Networks from Graph Theory., , and . CoRR, (2017)RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning., , , , , and . CoRR, (2024)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)Corrective Machine Unlearning., , , , and . CoRR, (2024)Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?, , , , , and . ICCV, page 18806-18815. IEEE, (2023)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)"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets., , , , and . CoRR, (2019)Inverse Scaling: When Bigger Isn't Better., , , , , , , , , and 17 other author(s). CoRR, (2023)