deep-neural-networks

Documents about deep-neural-networks

• Utilizing and Calibrating Hindsight Process Rewards via Reinforcement with Mutual Information Self-Evaluation#10349arXiv CS
• The Price of Ignorance: Information-Free Quotation for Data Retention in Machine Unlearning#10361arXiv CS
• Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification#10370arXiv CS
• Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss#10374arXiv CS
• 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
• Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks#19742Semantic 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
• 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
• 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
• 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
• When Errors Can Be Beneficial: A Categorization of Imperfect Rewards for Policy Gradient#141473arXiv CS
• Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics#141483arXiv CS
• PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection#141487arXiv CS
• Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty#141493arXiv CS
• Adaptable phase retrieval for coherent transition radiation spectroscopy based on differentiable physics information#141495arXiv CS
• Learning Structure, Energy, and Dynamics: A Survey of Artificial Intelligence for Protein Dynamics#141512arXiv CS
• FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems#146915arXiv CS
• Early Detection of Water Stress by Plant Electrophysiology: Machine Learning for Irrigation Management#146929arXiv CS
• TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning#146952arXiv CS
• From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting#151742arXiv CS
• Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision#151743arXiv CS