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 150 of 200 papers

TitleStatusHype
Training Compute-Optimal Large Language ModelsCode6
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal UnderstandingCode3
Multi-Patch Prediction: Adapting LLMs for Time Series Representation LearningCode2
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation DataCode2
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar MemoriesCode2
Scaling Video-Language Models to 10K Frames via Hierarchical Differential DistillationCode2
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series ForecastingCode2
RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured EnvironmentsCode2
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive SystemsCode1
M2A: Motion Aware Attention for Accurate Video Action RecognitionCode1
CITRIS: Causal Identifiability from Temporal Intervened SequencesCode1
Scalable Spatiotemporal Graph Neural NetworksCode1
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention NetworksCode1
Leveraging Language Foundation Models for Human Mobility ForecastingCode1
Reducing ANN-SNN Conversion Error through Residual Membrane PotentialCode1
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion ModelsCode1
Detecting Invisible PeopleCode1
Learning future terrorist targets through temporal meta-graphsCode1
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-trainingCode1
Continual Spatio-Temporal Graph Convolutional NetworksCode1
Predicting Human Scanpaths in Visual Question AnsweringCode1
Grid: Omni Visual GenerationCode1
Representation Learning via Global Temporal Alignment and Cycle-ConsistencyCode1
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series PretrainingCode1
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold NetworksCode1
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike StreamsCode1
Semantically-correlated memories in a dense associative modelCode1
A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in VideoCode1
Graph WaveNet for Deep Spatial-Temporal Graph ModelingCode1
Short-term Precipitation Forecasting in The Netherlands: An Application of Convolutional LSTM neural networks to weather radar dataCode1
Functional Map of the WorldCode1
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical MapsCode1
TiMo: Spatiotemporal Foundation Model for Satellite Image Time SeriesCode1
Remaining Useful Life Prediction for Aircraft Engines using LSTMCode1
Continuous online sequence learning with an unsupervised neural network modelCode0
SampleRNN: An Unconditional End-to-End Neural Audio Generation ModelCode0
Scalable Mechanistic Neural Networks for Differential Equations and Machine LearningCode0
Causal Temporal Representation Learning with Nonstationary Sparse TransitionCode0
BloombergGPT: A Large Language Model for FinanceCode0
Recursive deep learning framework for forecasting the decadal world economic outlookCode0
Proactive Robot Assistance via Spatio-Temporal Object ModelingCode0
Robust Explainer Recommendation for Time Series ClassificationCode0
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge GraphsCode0
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler RadarCode0
Medical Profile Model: Scientific and Practical Applications in HealthcareCode0
Alternative Telescopic Displacement: An Efficient Multimodal Alignment MethodCode0
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based SequencesCode0
Long-term Blood Pressure Prediction with Deep Recurrent Neural NetworksCode0
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