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neural network

7,070 papers

NN

Papers

Knockoff Branch: Model Stealing Attack via Adding Neurons in the Pre-Trained Model WACV 2025 Know2Vec: A Black-Box Proxy for Neural Network Retrieval AAAI 2025 Know-AI at TSAR 2025 Shared Task Difficulty-aware Text Simplification System EMNLP 2025 Knowledge Distillation for Learned Image Compression ICCV 2025 Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP AAAI 2025 KostasThesis2025 at SemEval-2025 Task 10 Subtask 2: A Continual Learning Approach to Propaganda Analysis in Online News SemEval 2025 LaCoOT: Layer Collapse through Optimal Transport ICCV 2025 Large Language Models Are Cross-Lingual Knowledge-Free Reasoners NAACL 2025 Layer Duplication in LLMs EMNLP 2025 Learning and aligning single-neuron invariance manifolds in visual cortex ICLR 2025 Learning conditional distributions on continuous spaces JMLR 2025 Learning Deep Dissipative Dynamics AAAI 2025 Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space ICCV 2025 Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework CVPR 2025 Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025 Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling ICLR 2025 Learning Hierarchical Line Buffer for Image Processing ICCV 2025 Learning High-Degree Parities: The Crucial Role of the Initialization ICLR 2025 Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics ICLR 2025 Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees ICLR 2025 Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity ICCV 2025 Learning Optimal Auctions with Correlated Value Distributions AAAI 2025 Learning to Discretize Denoising Diffusion ODEs ICLR 2025 Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems ICML 2025 Learning to Manipulate Under Limited Information AAAI 2025