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
Long-term Blood Pressure Prediction with Deep Recurrent Neural NetworksCode0
Adaptive Multi-Agent Continuous Learning SystemCode0
Medical Profile Model: Scientific and Practical Applications in HealthcareCode0
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based SequencesCode0
Proactive Robot Assistance via Spatio-Temporal Object ModelingCode0
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge GraphsCode0
Recursive deep learning framework for forecasting the decadal world economic outlookCode0
SampleRNN: An Unconditional End-to-End Neural Audio Generation ModelCode0
Scalable Mechanistic Neural Networks for Differential Equations and Machine LearningCode0
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler RadarCode0
SeER: An Explainable Deep Learning MIDI-based Hybrid Song Recommender SystemCode0
Self-supervised Amodal Video Object SegmentationCode0
shapeDTW: shape Dynamic Time WarpingCode0
SoftLoc: Robust Temporal Localization under Label MisalignmentCode0
Spatio-temporal Tendency Reasoning for Human Body Pose and Shape Estimation from VideosCode0
State-Frequency Memory Recurrent Neural NetworksCode0
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoringCode0
Subregular Complexity and Deep LearningCode0
Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demandsCode0
Thalamocortical motor circuit insights for more robust hierarchical control of complex sequencesCode0
TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory AnalysisCode0
Transformer Multivariate Forecasting: Less is More?Code0
tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical dataCode0
Using stigmergy as a computational memory in the design of recurrent neural networksCode0
Waymo Open Dataset: Panoramic Video Panoptic SegmentationCode0
Working memory facilitates reward-modulated Hebbian learning in recurrent neural networksCode0
Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records—0
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles—0
Investigating current-based and gating approaches for accurate and energy-efficient spiking recurrent neural networks—0
Deep Generative Video Compression—0
Keyframing the Future: Discovering Temporal Hierarchy with Keyframe-Inpainter Prediction—0
Time Blindness: Why Video-Language Models Can't See What Humans Can?—0
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator—0
Deep Learning Approaches for Human Action Recognition in Video Data—0
Learning Object Semantic Similarity with Self-Supervision—0
Learning Scene Dynamics from Point Cloud Sequences—0
Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites—0
Deep Differential Recurrent Neural Networks—0
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations—0
LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation—0
LLM4FTS: Enhancing Large Language Models for Financial Time Series Prediction—0
Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation—0
Deep Activity Recognition Models with Triaxial Accelerometers—0
MarineFormer: A Spatio-Temporal Attention Model for USV Navigation in Dynamic Marine Environments—0
TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation—0
metricDTW: local distance metric learning in Dynamic Time Warping—0
Mitigating LLM Hallucinations via Conformal Abstention—0
Modeling Time-Series and Spatial Data for Recommendations and Other Applications—0
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation—0
Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis—0
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