Neural Networks

Residualized Similarity for Faithfully Explainable Authorship Verification EMNLP 2025 Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments CoRL 2025 Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis ICML 2025 ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals ICML 2025 ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers ICCV 2025 Rethinking Benign Overfitting in Two-Layer Neural Networks ICML 2025 Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors ICCV 2025 Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection CVPR 2025 Rethinking Neural-based Matrix Inversion: Why can’t, and Where can AISTATS 2025 Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space AAAI 2025 Rethinking Spiking Neural Networks from an Ensemble Learning Perspective ICLR 2025 Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers CVPR 2025 Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game CVPR 2025 Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective ICML 2025 Rethinking the Upsampling Process in Light Field Super-Resolution with Spatial-Epipolar Implicit Image Function ICCV 2025 Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation AAAI 2025 Reveal Object in Lensless Photography via Region Gaze and Amplification ICLR 2025 ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks ICML 2025 Reverse Convolution and Its Applications to Image Restoration ICCV 2025 Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination AAAI 2025 Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment ICCV 2025 Revisiting Mode Connectivity in Neural Networks with Bezier Surface ICLR 2025 REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS ICLR 2025 Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective ICML 2025 Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations UAI 2025