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Co-occurring keywords · papers mentioning both

neural network (2) model retraining (1) knowledge erasure (1) anchor box (1) distributed deep learning (1) architecture topology (1) anchor mechanism (1) arbitrary scale factor (1) staleness compensation (1) delay compensation (1)

Papers

Learning from Oblivion: Predicting Knowledge-Overflowed Weights via Retrodiction of Forgetting CVPR 2026 Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation MIDL 2026 Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning AAAI 2025 Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023 SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training NeurIPS 2022 Graph HyperNetworks for Neural Architecture Search ICLR 2019 Meta-Learning to Detect Rare Objects ICCV 2019 Meta-SR: A Magnification-Arbitrary Network for Super-Resolution CVPR 2019 MetaAnchor: Learning to Detect Objects with Customized Anchors NeurIPS 2018 Predicting Parameters in Deep Learning NeurIPS 2013