Neural Networks

Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking AAAI 2026 Exploiting Space Folding by Neural Networks AAAI 2026 Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking AAAI 2026 Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection AAAI 2026 Exploring the Potentials of Spiking Neural Networks for Image Deraining AAAI 2026 Extreme Amodal Face Detection WACV 2026 FARM: Frame-Accelerated Augmentation and Residual Mixture-of-Experts for Physics-Based High-Dynamic Humanoid Control AAAI 2026 Fast 3D Surrogate Modeling for Data Center Thermal Management AAAI 2026 Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing WACV 2026 Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract) AAAI 2026 Feature Inversion as a Lens on Vision Encoders WACV 2026 Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026 FeTS: A Feature-Aware Framework for Time Series Forecasting AAAI 2026 Few-Shot Hybrid Incremental Learning:Continually Learning under Data Scarcity and Task Uncertainty CVPR 2026 Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding AAAI 2026 FLARES: Fast and Accurate LiDAR Multi-Range Semantic Segmentation WACV 2026 FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification AAAI 2026 ForestSplats: Deformable Transient Field for Gaussian Splatting in the Wild WACV 2026 ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model AAAI 2026 Formal Abductive Latent Explanations for Prototype-Based Networks AAAI 2026 FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions AAAI 2026 FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition AAAI 2026 Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis AAAI 2026 From Darkness to Detail: Frequency-Aware SSMs for Low-Light Vision WACV 2026 From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet WACV 2026