long-term dependency

Gated Recurrent Neural Networks with Weighted Time-Delay Feedback AISTATS 2025 Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation COLING 2025 Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory AAAI 2024 Chain and Causal Attention for Efficient Entity Tracking EMNLP 2024 LOCOST: State-Space Models for Long Document Abstractive Summarization EACL 2024 TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling AAAI 2024 Hierarchically Gated Recurrent Neural Network for Sequence Modeling NeurIPS 2023 Temporally Consistent Transformers for Video Generation ICML 2023 Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies NeurIPS 2023 When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment NeurIPS 2023 Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention IJCAI 2022 Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? NAACL 2022 Recurrent Memory Transformer NeurIPS 2022 Heavy Ball Neural Ordinary Differential Equations NeurIPS 2021 Implicit Bias of Linear RNNs ICML 2021 Neural Machine Translation for Tamil–Telugu Pair EMNLP 2021 Revisiting Simple Neural Probabilistic Language Models NAACL 2021 Transformer-Based Acoustic Modeling for Streaming Speech Synthesis Interspeech 2021 Calibration, Entropy Rates, and Memory in Language Models ICML 2020 Few-shot Human Motion Prediction via Learning Novel Motion Dynamics IJCAI 2020 Improving the Gating Mechanism of Recurrent Neural Networks ICML 2020 RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR 2020 Temporal Pyramid Recurrent Neural Network AAAI 2020 AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks ICLR 2019 Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting NeurIPS 2019