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

Showing 76100 of 200 papers

TitleStatusHype
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks0
Fitness-for-Duty Classification using Temporal Sequences of Iris Periocular images0
BloombergGPT: A Large Language Model for FinanceCode0
On the Reachability and Controllability of Temporal Continuous-Time Linear Networks: A Generic Analysis0
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 Driving0
Modeling Time-Series and Spatial Data for Recommendations and Other Applications0
Adaptive Multi-Agent Continuous Learning SystemCode0
Proactive Robot Assistance via Spatio-Temporal Object ModelingCode0
Biologically-Inspired Continual Learning of Human Motion Sequences0
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 networks0
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 sequences0
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 Simulations0
Single-Photon Structured Light0
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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