neural-networks

Documents about neural-networks

• The Verification Tax: Fundamental Limits of AI Auditing in the Rare-Error Regime#13082arXiv CS
• TCL: Enabling Fast and Efficient Cross-Hardware Tensor Program Optimization via Continual Learning#13088arXiv CS
• FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving#13106arXiv CS
• $π$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data#14012arXiv CS
• Unsupervised domain transfer: Overcoming signal degradation in sleep monitoring by increasing scoring realism#14022arXiv CS
• Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors#14028arXiv CS
• Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training#14050arXiv CS
• One-shot learning for the complex dynamical behaviors of weakly nonlinear forced oscillators#19008arXiv CS
• Model Predictive Control of Nonholonomic Chained Systems Using General Projection Neural Networks Optimization#19713Semantic Scholar
• A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices#19720Semantic Scholar
• Loss landscapes and optimization in over-parameterized non-linear systems and neural networks#19733Semantic Scholar
• Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks#19742Semantic Scholar
• Spiking neural networks for handwritten digit recognition - Supervised learning and network optimization#19749Semantic Scholar
• Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN#19757Semantic Scholar
• Prediction and optimization of mechanical properties of composites using convolutional neural networks#19762Semantic Scholar
• Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks#19777Semantic Scholar
• On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks#19778Semantic Scholar
• Finite-time recurrent neural networks for solving nonlinear optimization problems and their application#19783Semantic Scholar
• Super-convergence: very fast training of neural networks using large learning rates#19785Semantic Scholar
• Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation#19792Semantic Scholar
• Adaptive activation functions accelerate convergence in deep and physics-informed neural networks#19810Semantic Scholar
• Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design#31253arXiv CS
• Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation#31264arXiv CS
• SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context#31271arXiv CS
• AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-Tuning#31279arXiv CS
• SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems#31286arXiv CS
• Preliminary Numerical Demonstration of Conservation Laws in the Shiho Unified Qualia Equation Using Physics-Informed Neural Networks#113612PhilArchive
• GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling#120502arXiv CS
• Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective#120523arXiv CS
• ProtoCLIP: Prototype-Aligned Latent Refinement for Robust Zero-Shot Chest X-Ray Classification#120526arXiv CS
• Knowing When to Quit: A Principled Framework for Dynamic Abstention in LLM Reasoning#120529arXiv CS
• Bridge-Centered Metapath Classification Using R-GCN-VGAE for Disaster-Resilient Maintenance Decisions#120531arXiv CS
• End-to-end large portfolio optimization for variance minimization with neural networks through covariance cleaning#120663HAL (France)
• TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale#126501arXiv CS
• Locating acts of mechanistic reasoning in student team conversations with mechanistic machine learning#126502arXiv CS
• Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection#126516arXiv CS
• Evaluating Post-hoc Explanations of the Transformer-based Genome Language Model DNABERT-2#126521arXiv CS
• A temporal deep learning framework for calibration of low-cost air quality sensors#126536arXiv CS
• Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning#126537arXiv CS
• Spend Less, Fit Better: Budget-Efficient Scaling Law Fitting via Active Experiment Selection#134529arXiv CS
• Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe#134535arXiv CS
• Explanation of Dynamic Physical Field Predictions using WassersteinGrad: Application to Autoregressive Weather Forecasting#134545arXiv CS
• FeatEHR-LLM: Leveraging Large Language Models for Feature Engineering in Electronic Health Records#134553arXiv CS
• All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams#134559arXiv CS
• From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables#134564arXiv CS
• Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components#138906arXiv CS
• Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models#138912arXiv CS
• Advancing Ligand-based Virtual Screening and Molecular Generation with Pretrained Molecular Embedding Distance#138940arXiv CS
• Evaluating Neural Networks Architectures for Competency Prediction from Process Data Using PISA Computer-Based Mathematics Assessment.#140516NCBI PubMed Central
• When Errors Can Be Beneficial: A Categorization of Imperfect Rewards for Policy Gradient#141473arXiv CS