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 126–150 of 200 papers

TitleStatusHype
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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