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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 200 papers

TitleStatusHype
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
Show:102550
← PrevPage 4 of 8Next →

No leaderboard results yet.