deep-neural-networks

Documents about deep-neural-networks

• 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
• From Frege to ChatGPT: Compositionality in Language, Cognition, and Deep Neural Networks#106313PhilArchive
• 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
• Safe Control using Learned Safety Filters and Adaptive Conformal Inference#120514arXiv CS
• NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization#120518arXiv CS
• Overcoming Selection Bias in Statistical Studies With Amortized Bayesian Inference#120537arXiv CS
• Scale-free adaptive planning for deterministic dynamics & discounted rewards#120539arXiv CS
• Convergent Evolution: How Different Language Models Learn Similar Number Representations#124036arXiv CS
• Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity#124040arXiv CS
• Improving clinical interpretability of linear neuroimaging models through feature whitening#124059arXiv CS
• pAI/MSc: ML Theory Research with Humans on the Loop#124063arXiv CS
• Amortized Vine Copulas for High-Dimensional Density and Information Estimation#124069arXiv CS
• Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms#124075arXiv CS
• Interpretable facial dynamics as behavioral and perceptual traces of deepfakes#126513arXiv CS
• Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach#126525arXiv CS
• Geometric Characterisation and Structured Trajectory Surrogates for Clinical Dataset Condensation#126528arXiv CS
• Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection#126539arXiv CS
• CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting#134540arXiv CS
• The Exact Replica Threshold for Nonlinear Moments of Quantum States#134542arXiv CS
• Beyond Patient Invariance: Learning Cardiac Dynamics via Action-Conditioned JEPAs#134543arXiv CS
• Multi-output Extreme Spatial Model for Complex Aircraft Production Systems#134550arXiv CS
• On the Properties of Feature Attribution for Supervised Contrastive Learning#134551arXiv CS
• Towards Adaptive Continual Model Merging via Manifold-Aware Expert Evolution#134560arXiv CS
• SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning#138910arXiv CS
• SceneSelect: Selective Learning for Trajectory Scene Classification and Expert Scheduling#138937arXiv CS
• SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation#138950arXiv CS
• Diverse Image Priors for Black-box Data-free Knowledge Distillation#141479arXiv CS
• VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification#141503arXiv CS
• QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attention#141504arXiv CS
• RCProb: Probabilistic Rule Extraction for Efficient Simplification of Tree Ensembles#141505arXiv CS
• Online combinatorial optimization with stochastic decision sets and adversarial losses#141510arXiv CS
• Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models#146916arXiv CS
• Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing#146918arXiv CS
• DEFault++: Automated Fault Detection, Categorization, and Diagnosis for Transformer Architectures#146921arXiv CS
• MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness#146932arXiv CS
• FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning#146933arXiv CS
• Dynamic Scaled Gradient Descent for Stable Fine-Tuning for Classifications#146939arXiv CS
• Calibrating Attribution Proxies for Reward Allocation in Participatory Weather Sensing#146945arXiv CS
• Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing#146951arXiv CS
• CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting#146953arXiv CS
• Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation#151738arXiv CS
• Bridging Graph Drawing and Dimensionality Reduction with Stochastic Stress Optimization#151744arXiv CS
• Fairness of Classifiers in the Presence of Constraints between Features#151752arXiv CS
• Multi-frame Restoration for High-rate Lissajous Confocal Laser Endomicroscopy#151761arXiv CS
• Raising the Ceiling: Better Empirical Fixation Densities for Saliency Benchmarking#155287arXiv CS
• On Computing Total Variation Distance Between Mixtures of Product Distributions#155292arXiv CS