| Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition | Mar 2, 2021 | Autonomous DrivingAutonomous Navigation | CodeCode Available | 1 | 5 |
| Learning Long-Term Dependencies in Irregularly-Sampled Time Series | Jun 8, 2020 | Sequential Image ClassificationTime Series | CodeCode Available | 1 | 5 |
| Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules | Jun 30, 2020 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Learning to Remember More with Less Memorization | Jan 5, 2019 | MemorizationSentiment Analysis | CodeCode Available | 1 | 5 |
| Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks | Dec 1, 2019 | Sequential Image ClassificationTime Series | CodeCode Available | 1 | 5 |
| Lipschitz Recurrent Neural Networks | Jun 22, 2020 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Long Expressive Memory for Sequence Modeling | Oct 10, 2021 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Traveling Waves Encode the Recent Past and Enhance Sequence Learning | Sep 3, 2023 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Sequence Modeling with Multiresolution Convolutional Memory | May 2, 2023 | Density EstimationListOps | CodeCode Available | 1 | 5 |
| Parallelizing Legendre Memory Unit Training | Feb 22, 2021 | Machine TranslationSentiment Analysis | CodeCode Available | 1 | 5 |
| Efficiently Modeling Long Sequences with Structured State Spaces | Oct 31, 2021 | Data AugmentationLanguage Modeling | CodeCode Available | 1 | 5 |
| Efficient recurrent architectures through activity sparsity and sparse back-propagation through time | Jun 13, 2022 | Gesture RecognitionLanguage Modeling | CodeCode Available | 1 | 5 |
| An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling | Mar 4, 2018 | Audio SynthesisLanguage Modelling | CodeCode Available | 1 | 5 |
| Resurrecting Recurrent Neural Networks for Long Sequences | Mar 11, 2023 | ClassificationComputational Efficiency | CodeCode Available | 1 | 5 |
| FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes | Oct 15, 2021 | DescriptiveImage Classification | CodeCode Available | 1 | 5 |
| Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies | Oct 2, 2020 | Sentiment AnalysisSequential Image Classification | CodeCode Available | 1 | 5 |
| CKConv: Continuous Kernel Convolution For Sequential Data | Feb 4, 2021 | Permuted-MNISTSequential Image Classification | CodeCode Available | 1 | 5 |
| HiPPO: Recurrent Memory with Optimal Polynomial Projections | Aug 17, 2020 | Permuted-MNISTSequential Image Classification | CodeCode Available | 1 | 5 |
| SMPConv: Self-moving Point Representations for Continuous Convolution | Apr 5, 2023 | DescriptiveImage Classification | CodeCode Available | 1 | 5 |
| DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition | Nov 17, 2020 | Autonomous DrivingAutonomous Navigation | CodeCode Available | 1 | 5 |
| UnICORNN: A recurrent model for learning very long time dependencies | Mar 9, 2021 | Sentiment AnalysisSequential Image Classification | CodeCode Available | 1 | 5 |
| RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks | Jun 16, 2021 | Sequential Image Classification | CodeCode Available | 0 | 5 |
| AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks | Feb 26, 2019 | Sequential Image Classification | CodeCode Available | 0 | 5 |
| A Simple Way to Initialize Recurrent Networks of Rectified Linear Units | Apr 3, 2015 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
| Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers | Oct 26, 2021 | Computational Efficiencyimage-classification | CodeCode Available | 0 | 5 |
