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 51–100 of 200 papers

TitleStatusHype
Remaining Useful Life Prediction for Aircraft Engines using LSTMCode1
Transformer Multivariate Forecasting: Less is More?Code0
Attention-Enhanced Reservoir ComputingCode0
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites—0
HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models—0
Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar dataCode1
On exploiting the synaptic interaction properties to obtain frequency-specific neurons—0
Positional Encoding-based Resident Identification in Multi-resident Smart Homes—0
Exploitation des propriétés de saturation synaptique pour obtenir un neurone à fréquence spécifique—0
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series PretrainingCode1
Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks—0
Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints—0
tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical dataCode0
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks—0
Easy attention: A simple attention mechanism for temporal predictions with transformers—0
A generative model for surrogates of spatial-temporal wildfire nowcasting—0
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing—0
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance—0
Alternative Telescopic Displacement: An Efficient Multimodal Alignment MethodCode0
A Graph Neural Network Approach for Temporal Mesh Blending and Correspondence—0
Robust Explainer Recommendation for Time Series ClassificationCode0
Computation with Sequences in a Model of the Brain—0
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment—0
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks—0
Fitness-for-Duty Classification using Temporal Sequences of Iris Periocular images—0
BloombergGPT: A Large Language Model for FinanceCode0
On the Reachability and Controllability of Temporal Continuous-Time Linear Networks: A Generic Analysis—0
Reducing ANN-SNN Conversion Error through Residual Membrane PotentialCode1
Recursive deep learning framework for forecasting the decadal world economic outlookCode0
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving—0
Modeling Time-Series and Spatial Data for Recommendations and Other Applications—0
Adaptive Multi-Agent Continuous Learning SystemCode0
Proactive Robot Assistance via Spatio-Temporal Object ModelingCode0
Biologically-Inspired Continual Learning of Human Motion Sequences—0
Self-supervised Amodal Video Object SegmentationCode0
Spatio-temporal Tendency Reasoning for Human Body Pose and Shape Estimation from VideosCode0
Explainable Graph Pyramid Autoformer for Long-Term Traffic ForecastingCode0
Investigating current-based and gating approaches for accurate and energy-efficient spiking recurrent neural networks—0
Scalable Spatiotemporal Graph Neural NetworksCode1
Leveraging Language Foundation Models for Human Mobility ForecastingCode1
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences—0
Waymo Open Dataset: Panoramic Video Panoptic SegmentationCode0
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive SystemsCode1
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations—0
Single-Photon Structured Light—0
Training Compute-Optimal Large Language ModelsCode6
Graph similarity learning for change-point detection in dynamic networksCode0
Continual Spatio-Temporal Graph Convolutional NetworksCode1
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