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 101–150 of 200 papers

TitleStatusHype
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
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences—0
Waymo Open Dataset: Panoramic Video Panoptic SegmentationCode0
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations—0
Single-Photon Structured Light—0
Graph similarity learning for change-point detection in dynamic networksCode0
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder—0
Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation—0
Ice hockey player identification via transformers and weakly supervised learning—0
Learning Scene Dynamics from Point Cloud Sequences—0
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator—0
Rotor Localization and Phase Mapping of Cardiac Excitation Waves using Deep Neural Networks—0
Multiscale Manifold Warping—0
A pattern recognition approach for distinguishing between prose and poetry—0
Medical Profile Model: Scientific and Practical Applications in HealthcareCode0
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture—0
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection—0
Temporal and Object Quantification Networks—0
Divide and Rule: Recurrent Partitioned Network for Dynamic Processes—0
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning—0
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced ProblemCode0
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation—0
Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery—0
Probabilistic Planning with Preferences over Temporal Goals—0
Ensemble perspective for understanding temporal credit assignment—0
Organization of a Latent Space structure in VAE/GAN trained by navigation data—0
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting—0
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs—0
Human or Machine? It Is Not What You Write, But How You Write ItCode0
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization—0
Physics-informed Tensor-train ConvLSTM for Volumetric Velocity Forecasting of Loop Current—0
Tractable Fragments of Temporal Sequences of Topological Information—0
Thalamocortical motor circuit insights for more robust hierarchical control of complex sequencesCode0
Benefits of temporal information for appearance-based gaze estimation—0
Towards a Neural Model for Serial Order in Frontal Cortex: a Brain Theory from Memory Development to Higher-Level Cognition—0
Classifying Image Sequences of Astronomical Transients with Deep Neural Networks—0
Fine-tuning Siamese Networks to Assess Sport Gestures Quality—0
Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks—0
Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics—0
FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences—0
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler RadarCode0
Predictive Coding as Stimulus Avoidance in Spiking Neural Networks—0
Dynamic Time Warp Convolutional Networks—0
Working memory facilitates reward-modulated Hebbian learning in recurrent neural networksCode0
Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demandsCode0
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