temporal dependency

Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models ACL 2026 CometNet: Contextual Motif-guided Long-term Time Series Forecasting AAAI 2026 ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Video Understanding CVPR 2026 SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition AAAI 2026 What to Trust? A Trust-aware Knowledge-guided Method for Zero-shot Object State Understanding in Videos AAAI 2026 ActionDiffusion: An Action-Aware Diffusion Model for Procedure Planning in Instructional Videos WACV 2025 A Lightweight Sparse Interaction Network for Time Series Forecasting AAAI 2025 AnCast++: Document-Level Evaluation of Graph-based Meaning Representations ACL 2025 A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities IJCAI 2025 Autoregressive Sequential Pretraining for Visual Tracking CVPR 2025 DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation IJCAI 2025 Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation COLING 2025 Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications AAAI 2025 Long-Term EEG Partitioning for Seizure Onset Detection AAAI 2025 Modeling Latent Non-Linear Dynamical System over Time Series AAAI 2025 Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency IJCAI 2025 A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames CVPR 2024 AU-Aware Dynamic 3D Face Reconstruction From Videos With Transformer WACV 2024 Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification NeurIPS 2024 CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos NeurIPS 2024 Learning from Highly Sparse Spatio-temporal Data NeurIPS 2024 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting ICLR 2024 PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks ICLR 2024 Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations NeurIPS 2024 Slot State Space Models NeurIPS 2024