neural network

Universal Approximation of Mean-Field Models via Transformers ICML 2025 Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025 Unsupervised Model Tree Heritage Recovery ICLR 2025 Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion AAAI 2025 Using Subtext to Enhance Generative IDRR ACL 2025 Validating Mechanistic Interpretations: An Axiomatic Approach ICML 2025 Video Individual Counting for Moving Drones ICCV 2025 Wasserstein Policy Optimization ICML 2025 WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration AAAI 2025 WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition AAAI 2025 Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference NAACL 2025 When do neural networks learn world models? ICML 2025 When Visual State Space Model Meets Backdoor Attacks WACV 2025 Whose story is it? Personalizing story generation by inferring author styles IJCNLP 2025 Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks ICLR 2025 Winner-takes-all for Multivariate Probabilistic Time Series Forecasting ICML 2025 X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning IJCAI 2025 ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning CoRL 2025 $C^2M^3$: Cycle-Consistent Multi-Model Merging NeurIPS 2024 Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design NeurIPS 2024 3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow CVPR 2024 A2XP: Towards Private Domain Generalization CVPR 2024 A Bayesian Approach to Online Planning ICML 2024 A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NeurIPS 2024 A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition AAAI 2024