Skip to content
conftrace_

neural network

7,070 papers

NN

Papers

Embeddings for Numerical Features Using tanh Activation ACL 2025 Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks IJCAI 2025 Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods JMLR 2025 Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment AAAI 2025 Enhancing Implicit Neural Representations via Symmetric Power Transformation AAAI 2025 Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems ICLR 2025 Enriching Local Patterns with Multi-Token Attention for Broad-Sight Neural Networks WACV 2025 EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection CVPR 2025 Evaluating Sensitivity Consistency of Explanations WACV 2025 Even-if Explanations: Formal Foundations, Priorities and Complexity AAAI 2025 Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? ICLR 2025 Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks’ Internal Representations ICML 2025 Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons ICLR 2025 Explicit and Implicit Graduated Optimization in Deep Neural Networks AAAI 2025 Explicit Guidance for Robust Video Frame Interpolation against Discontinuous Motions WACV 2025 Exploring Efficient Directional and Distance Cues for Regional Speech Separation Interspeech 2025 Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality ICLR 2025 Exponential-Family Harmoniums with Neural Sufficient Statistics AAAI 2025 ExpProof : Operationalizing Explanations for Confidential Models with ZKPs ICML 2025 FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025 Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks ICLR 2025 Feature Shift Localization Network ICML 2025 FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection RSS 2025 FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025 Few-Shot Domain Adaptation for Learned Image Compression AAAI 2025