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Temporal Sequences

This task asks models to answer questions about which times certain events could have occurred.

Source: BIG-bench

Image source: BIG-bench

Papers

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Showing 176–200 of 200 papers

TitleStatusHype
Multi-View Dynamic Shape Refinement Using Local Temporal Integration—0
State-Frequency Memory Recurrent Neural NetworksCode0
A Long Short-Term Memory Recurrent Neural Network Framework for Network Traffic Matrix Prediction—0
Subregular Complexity and Deep LearningCode0
Long-term Blood Pressure Prediction with Deep Recurrent Neural NetworksCode0
Automatic identification of head movements in video-recorded conversations: can words help?—0
SampleRNN: An Unconditional End-to-End Neural Audio Generation ModelCode0
Towards the Modeling of Behavioral Trajectories of Users in Online Social Media—0
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based SequencesCode0
Regularized Dynamic Boltzmann Machine with Delay Pruning for Unsupervised Learning of Temporal Sequences—0
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation—0
metricDTW: local distance metric learning in Dynamic Time Warping—0
shapeDTW: shape Dynamic Time WarpingCode0
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold—0
Dynamics of multi-stable states during ongoing and evoked cortical activity—0
Sequence Classification with Neural Conditional Random Fields—0
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware—0
Continuous online sequence learning with an unsupervised neural network modelCode0
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution—0
Deep Activity Recognition Models with Triaxial Accelerometers—0
Hierarchical recurrent neural network for skeleton based action recognition—0
Toward User-Specific Tracking by Detection of Human Shapes in Multi-Cameras—0
An Efficient Volumetric Framework for Shape Tracking—0
A Computational Model Incorporating Neural Stem Cell Dynamics Reproduces Glioma Incidence across the Lifespan in the Human Population—0
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data—0
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