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memory structure

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approximation theory (2) recurrent neural network (2) exponential decay (1) spectrum-based regularity (1) inverse theorem (1) neural network (1) gated attention (1) convolutional architecture (1) memory network (1) label correlation (1)

Papers

DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation COLING 2024 Inverse Approximation Theory for Nonlinear Recurrent Neural Networks ICLR 2024 Prior Knowledge and Memory Enriched Transformer for Sign Language Translation ACL 2022 Approximation Theory of Convolutional Architectures for Time Series Modelling ICML 2021 Deep Learning with a Rethinking Structure for Multi-label Classification ACML 2019