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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 181–190 of 200 papers

TitleStatusHype
Ice hockey player identification via transformers and weakly supervised learning—0
Improving Trajectory Prediction in Dynamic Multi-Agent Environment by Dropping Waypoints—0
IMSSA: Deploying modern state-space models on memristive in-memory compute hardware—0
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
Keyframing the Future: Discovering Temporal Hierarchy with Keyframe-Inpainter Prediction—0
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator—0
Learning Object Semantic Similarity with Self-Supervision—0
Learning Scene Dynamics from Point Cloud Sequences—0
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