neural-networks

Documents about neural-networks

• Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer#5961arXiv CS
• Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections#5971arXiv CS
• Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima#5982arXiv CS
• MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI#10335arXiv CS
• Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions#10338arXiv CS
• Universality of first-order methods on random and deterministic matrices#10339arXiv CS
• Fairness is Not Flat: Geometric Phase Transitions Against Shortcut Learning#10341arXiv CS
• Causal Diffusion Models for Counterfactual Outcome Distributions in Longitudinal Data#13079arXiv CS
• GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees#13097arXiv CS
• Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning#13101arXiv CS
• RPRA: Predicting an LLM-Judge for Efficient but Performant Inference#13109arXiv CS
• EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts#13113arXiv CS
• Instantiating Bayesian CVaR lower bounds in Interactive Decision Making Problems#13115arXiv CS
• Momentum Further Constrains Sharpness at the Edge of Stochastic Stability#14007arXiv CS
• Evaluating Supervised Machine Learning Models: Principles, Pitfalls, and Metric Selection#14036arXiv CS
• SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention#14041arXiv CS
• Beyond State Consistency: Behavior Consistency in Text-Based World Models#14043arXiv CS
• Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations#18994arXiv CS
• Class Unlearning via Depth-Aware Removal of Forget-Specific Directions#19014arXiv CS
• Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation#19020arXiv CS
• LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning#19034arXiv CS
• A survey of the recent architectures of deep convolutional neural networks#19729Semantic Scholar
• Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks#19754Semantic Scholar
• Optimization of the Convolutional Neural Networks for Automatic Detection of Skin Cancer#19756Semantic Scholar
• Training Optimization for Gate-Model Quantum Neural Networks#19763Semantic Scholar
• An effective algorithm for hyperparameter optimization of neural networks#19774Semantic Scholar
• Physics-informed neural networks with hard constraints for inverse design#19779Semantic Scholar
• Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks#19780Semantic Scholar
• Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware#19786Semantic Scholar
• Artificial neural networks: a practical review of applications involving fractional calculus#19797Semantic Scholar
• hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition#19805Semantic Scholar
• Towards Lower Bounds on the Depth of ReLU Neural Networks#19806Semantic Scholar
• Information Router for Mitigating Modality Dominance in Vision-Language Models#31256arXiv CS
• Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction#31261arXiv CS
• OT on the Map: Quantifying Domain Shifts in Geographic Space#31263arXiv CS
• JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models#31266arXiv CS
• Tabular foundation models for in-context prediction of molecular properties#31269arXiv CS
• Stylistic-STORM (ST-STORM) : Perceiving the Semantic Nature of Appearance#31274arXiv CS
• Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting#31275arXiv CS
• Towards Universal Convergence of Backward Error in Linear System Solvers#31278arXiv CS
• TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation#31293arXiv CS
• Revolutionizing multimodal healthcare diagnosis, treatment pathways, and prognostic analytics through quantum neural networks#72877PhilArchive
• Dreams, Neural Networks and Images of Thoughts: Towards a Comprehensive Theory of Visual Cognition#76276PhilArchive
• Representation Similarity and Transformation-Dependent Stability: Distinction and Boundary Conditions in Neural Networks#81454PhilArchive
• Design of a Predictive Model for Congenital Heart Disease Using Neural Networks#102039PhilArchive
• From Frege to ChatGPT: Compositionality in Language, Cognition, and Deep Neural Networks#106313PhilArchive
• Proceedings of the First Turkish Conference on AI and Artificial Neural Networks#111004PhilArchive
• Training Deep Neural Networks with Limited Data: Techniques and Challenges#112815PhilArchive
• MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval#120492arXiv CS
• Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data#120511arXiv CS