SOTAVerified

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 26–50 of 200 papers

TitleStatusHype
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series PretrainingCode1
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold NetworksCode1
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike StreamsCode1
Semantically-correlated memories in a dense associative modelCode1
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in VideoCode1
Graph WaveNet for Deep Spatial-Temporal Graph ModelingCode1
Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar dataCode1
Functional Map of the WorldCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
TiMo: Spatiotemporal Foundation Model for Satellite Image Time SeriesCode1
Remaining Useful Life Prediction for Aircraft Engines using LSTMCode1
Continuous online sequence learning with an unsupervised neural network modelCode0
SampleRNN: An Unconditional End-to-End Neural Audio Generation ModelCode0
Scalable Mechanistic Neural Networks for Differential Equations and Machine LearningCode0
Causal Temporal Representation Learning with Nonstationary Sparse TransitionCode0
BloombergGPT: A Large Language Model for FinanceCode0
Recursive deep learning framework for forecasting the decadal world economic outlookCode0
Proactive Robot Assistance via Spatio-Temporal Object ModelingCode0
Robust Explainer Recommendation for Time Series ClassificationCode0
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge GraphsCode0
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler RadarCode0
Medical Profile Model: Scientific and Practical Applications in HealthcareCode0
Alternative Telescopic Displacement: An Efficient Multimodal Alignment MethodCode0
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based SequencesCode0
Long-term Blood Pressure Prediction with Deep Recurrent Neural NetworksCode0
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