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GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning.

, , , and . CVPR, page 99-108. IEEE, (2022)

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Rescaling CNN Through Learnable Repetition of Network Parameters., , , and . ICIP, page 754-758. IEEE, (2021)Interactive Concept Bottleneck Models., , , , and . AAAI, page 5948-5955. AAAI Press, (2023)GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning., , , and . CVPR, page 99-108. IEEE, (2022)ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations., , , and . ICLR, OpenReview.net, (2021)Overcoming Simplicity Bias in Deep Networks using a Feature Sieve., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34330-34343. PMLR, (2023)Using Early Readouts to Mediate Featural Bias in Distillation., , , , and . CoRR, (2023)Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning., , , and . CVPR, page 9841-9850. IEEE, (2022)Sifer: Overcoming simplicity bias in deep networks using a feature sieve., and . CoRR, (2023)On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers?, , , , , , and . ICASSP, page 1-5. IEEE, (2023)Using Early Readouts to Mediate Featural Bias in Distillation., , , , and . WACV, page 2626-2635. IEEE, (2024)