Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection - 惯性聚合

推荐订阅源

Comments on: Blog

Schneier on Security

Microsoft Azure Blog

Tor Project blog

Visual Studio Blog

CXSECURITY Database RSS Feed - CXSecurity.com

Threat Intelligence Blog | Flashpoint

罗磊的独立博客

Cisco Talos Blog

Privacy International News Feed

阮一峰的网络日志

博客园 - 三生石上(FineUI控件)

Recorded Future

Hugging Face - Blog

Tailwind CSS Blog

博客园 - 叶小钗

CTFtime.org: upcoming CTF events

LINUX DO - 最新话题

美团技术团队

大猫的无限游戏

博客园 - 司徒正美

酷壳 – CoolShell

钛媒体：引领未来商业与生活新知

宝玉的分享

The Register - Security

Java Code Geeks

Threat Research - Cisco Blogs

The Blog of Author Tim Ferriss

SegmentFault 最新的问题

Fox-IT International blog

Security Archives - TechRepublic

Last Week in AI

MIT News - Artificial intelligence

cs.AI updates on arXiv.org

Teaching Through Analogies: A Modular Pipeline for Educational Analogy Generation On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight Mixture of Complementary Agents for Robust LLM Ensemble READER: Reasoning-Enhanced AI-Generated Text Detection Assessing the Operational Viability of Foundation Models for Time Series Forecasting LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wind Weather and Grid Aware Decision Support Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring Creative Quality Alignment: Expert Tacit Knowledge Transfer via Chain-of-Thought Fine-Tuning BC Protocol: Structured Dual-Expert Dialogue for Eliciting High-Quality Chain-of-Thought Post-Training Data Guarded Repair for Harm-Aware Post-hoc Replacement of LLM Mathematical Reasoning AutoSG: LLM-Driven Solver Generation Solely from Task Prompts for Expensive Optimization A Large-Scale Dataset and Benchmark: Do Protein-Ligand Models Learn Binding Sites or Just Binding Likelihood? PILOT: Policy-Informed Learned Optimization for Adaptive Deep Network Training Evidence-Linked Radiology Reporting: A Human-Supervised Reference Architecture for Structured Imaging Intelligence Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis Overcoming "Physics Shock" in Earth Observation A Heteroscedastic Uncertainty Framework for PINN-based Flood Inference Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation Feature Lottery? A Bifurcation Theory of Concept Emergence Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models SomaliBench Eval: Measuring English-to-Somali Refusal Gaps in Open-Weight Language Models Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation RealBench: Benchmarking Data-Driven Numerical Weather Forecasting Under Operational Conditions and Extreme Event Challenges Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection When Reasoning Hurts: Source-Aware Evaluation of Frontier LLMs for Clinical SOAP Note Generation Raon-Speech Technical Report The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs Causal Tongue-Tie: LLMs Can Encode Causal Direction, But Their Yes/No Outputs Fail to Express Simulating Human Memory with Language Models Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes Towards a Universal Causal Reasoner Truthful Online Preference Aggregation for LLM Fine-Tuning in Mobile Crowdsourcing QUIET: A Multi-Blank Cascaded Story Cloze Benchmark for LLM Creative Generation Capability Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey, Taxonomy, and BODYFED-HBC Scheduling Vignette Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs TGFormer: Towards Temporal Graph Transformer with Auto-Correlation Mechanism Eureka: Intelligent Feature Engineering for Enterprise AI Cloud Resource Demand Prediction Extracting Training Data from Diffusion Language Models via Infilling Toward a Benchmark for Controllable Simulation of Imperfect Students with Large Language Models Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation An Interactive Paradigm for Deep Research A general tensor-structured compression scheme for efficient large language models Rethinking Federated Unlearning via the Lens of Memorization Improving Labeling Consistency with Detailed Constitutional Definitions and AI-Driven Evaluation Side-by-side Comparison Amplifies Dialect Bias in Language Models Mimir: Large-scale Multilingual Concept Modeling Measuring the Depth of LLM Unlearning via Activation Patching STREAM: A Data-Centric Framework for Mining High-Value Task-Oriented Dialogues from Streaming Media Batch Normalization Amplifies Memorization and Privacy Risks Treatment Effect Estimation with Differentiated Networked Effect on Graph Data TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering Generative OOD-regularized Model-based Policy Optimization Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference Polymorphism Is Rotation: Operational Mechanistic Interpretability from a Two-Layer Transformer to Pythia-70m LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs A Controlled Synthetic Benchmark for Educational Aspect-Based Sentiment Analysis Complement Submodular Information Measures for Balanced and Robust Data Selection A Multi-Agent LLM Framework for Rating the Quality of Surgical Feedback CONF-KV: Confidence-Aware KV Cache Eviction with Mixed-Precision Storage for Long-Horizon LLM On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks TriVAL: A Tri-Validation Framework for Faithful Automatic Optimization Modeling Disentangled Double Machine Learning for Accurate Causal Effect Estimation Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts Fine-Tuning Over Architectural Complexity: Broad-Coverage PII Detection on PIIBench with DeBERTa OSDTW: Optimal Shared Depth and Task Weighting for Long-Tailed Recognition World-State Transformations for Neuro-symbolic Interactive Storytelling Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steering Spectral Probe-Circuits: A Three-Step Recipe for Identifying Attention-Head Circuits in Pretrained Transformers Not All Transitions Matter: Evidence from PPO Quaternion Self-Attention with Shared Scores Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion EchoDistill:Alignment Noisy-to-Clean Self-Distillation for Robust Audio LLMs AI-Associated Lexical Shifts Across 34 Languages: Cross-Lingual Convergence and Diachronic Uptake in News Writing Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs of Ukrainian Court Decisions By Their Fruits You Will Know Them: Comparing Formalizations of Law by the Decisions They Encode Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning Hidden-State Privacy Has an Empty Middle Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting SemanticZip: A Pilot Framework for Lossy Text Compression with LLMs as Semantic Decompressors Document Classification Pattern Recognition via Information Fusion: A Systematic Review of Multimodal and Multiview Representation Approaches Momentum Streams for Optimizer-Inspired Transformers Actionable and diverse counterfactual explanations incorporating domain knowledge and plausibility constraints LAPLEX: The FFT of Learnable Laplace Kernels

Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection

Heqiang Wang · 2026-05-26 · via cs.AI updates on arXiv.org

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。