long-term dependency

Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks NeurIPS 2019 Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NeurIPS 2019 Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning ICML 2019 Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections IJCAI 2019 Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies AAAI 2019 Transformer-XL: Attentive Language Models beyond a Fixed-Length Context ACL 2019 Yimmon at SemEval-2019 Task 9: Suggestion Mining with Hybrid Augmented Approaches SemEval 2019 Approximating Real-Time Recurrent Learning with Random Kronecker Factors NeurIPS 2018 Can recurrent neural networks warp time? ICLR 2018 Convolutional Neural Networks with Recurrent Neural Filters EMNLP 2018 Disconnected Recurrent Neural Networks for Text Categorization ACL 2018 Learning Longer-term Dependencies in RNNs with Auxiliary Losses ICML 2018 Learning Long Term Dependencies via Fourier Recurrent Units ICML 2018 M3: Multimodal Memory Modelling for Video Captioning CVPR 2018 PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning ICML 2018 Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding NeurIPS 2018 Twin Networks: Matching the Future for Sequence Generation ICLR 2018 ClockWork-RNN Based Architectures for Slot Filling Interspeech 2017 Dilated Recurrent Neural Networks NeurIPS 2017 Learning Overcomplete HMMs NeurIPS 2017 Nested LSTMs ACML 2017 On orthogonality and learning recurrent networks with long term dependencies ICML 2017 Deep Gate Recurrent Neural Network ACML 2016 Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations NeurIPS 2016 Recurrent Orthogonal Networks and Long-Memory Tasks ICML 2016