Neural Networks

Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models AAAI 2025 DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization AAAI 2025 DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows AISTATS 2025 DEALing with Image Reconstruction: Deep Attentive Least Squares ICML 2025 DeciMamba: Exploring the Length Extrapolation Potential of Mamba ICLR 2025 Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis ACL 2025 Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction AAAI 2025 Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition AAAI 2025 DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation ICLR 2025 De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs ICML 2025 Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection CVPR 2025 Deep Disentangled Metric Learning AAAI 2025 Deep Electromagnetic Structure Design Under Limited Evaluation Budgets ICML 2025 DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance ICLR 2025 Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance ICCV 2025 Deep Joint Unrolling for Deblurring and Low-Light Image Enhancement (JUDE) WACV 2025 DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis CVPR 2025 Deep Learning Alternatives Of The Kolmogorov Superposition Theorem ICLR 2025 Deep Learning-Based Pedestrian Simulation with Limited Real-World Training Data: An Evaluation Framework IJCAI 2025 Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer ICML 2025 Deep Linear Probe Generators for Weight Space Learning ICLR 2025 Deep Networks Learn Features From Local Discontinuities in the Label Function ICLR 2025 Deep Neural Cellular Potts Models ICML 2025 Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation JMLR 2025 Deep Non-Rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling AAAI 2025