溯拒之变：掘隐拒迹以固脱囚侦之术 - 慣性聚合

推薦訂閱源

cs.AI updates on arXiv.org

Proofpoint News Feed

Application and Cybersecurity Blog

Google DeepMind News

The Blog of Author Tim Ferriss

Tor Project blog

Vulnerabilities – Threatpost

大猫的无限游戏

Schneier on Security

有赞技术团队

Recent Commits to openclaw:main

李成银的技术随笔

Kaspersky official blog

美团技术团队

博客园 - Franky

IntelliJ IDEA : IntelliJ IDEA – the Leading IDE for Professional Development in Java and Kotlin | The JetBrains Blog

Darknet – Hacking Tools, Hacker News & Cyber Security

Microsoft Azure Blog

博客园 - 叶小钗

Recorded Future

Lohrmann on Cybersecurity

Java Code Geeks

Recent Announcements

DataBreaches.Net

Threat Intelligence Blog | Flashpoint

Comments on: Blog

LINUX DO - 热门话题

阮一峰的网络日志

酷壳 – CoolShell

Netflix TechBlog - Medium

SegmentFault 最新的问题

Security @ Cisco Blogs

Privacy International News Feed

The Hacker News

About on SuperTechFans

cs.LG updates on arXiv.org

Personalized Generative Models for Contextual Debiasing From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD When Does Deep RL Beat Calibrated Baselines? A Benchmark Study on Adaptive Resource Control Amortized Factor Inference Networks for Posterior Inference Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning Modeling Dynamic Mixtures of Time-Delay Systems from Streaming Time Series AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion Neural Bayesian Sequential Routing GAC: Noise-Aware Adaptive Mixing for Hybrid SFT-RL Post-Training Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks Function-Valued Causal Influence in Nonlinear Time Series The Bridge-Garden Dilemma in LLM Distillation: Why Mixing Hard and Soft Labels Works Balancing Plasticity and Stability with Fast and Slow Successor Features InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis TrackRef3D: Multi-View Consistent Track-then-Label for Open-World Referring Segmentation in 3D Gaussian Splatting TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach CSV-ViT: A Vision Transformer with the Variable-sized Cortical Supervertices for Detection of Alzheimer's Disease Pathologies Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training Online Learning on Hidden-Convex Losses via Algorithmic Equivalence: Optimal Regret, Geometric Barrier, and Bandit Feedback Curriculum Learning for Safety Alignment A PAC-Bayesian View of Generalisation for Physics-Informed Machine Learning Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks GEM: Geometric Entropy Mixing for Optimal LLM Data Curation Reparametrizing Shampoo and SOAP for Subspace Basis Updates and BFloat16 Storage Unified Neural Scaling Laws Semigroup Consistency as a Diagnostic for Learned Physics Simulators QAM-W: Joint 2D Codebook Quantization for LLM Weights via Hadamard Rotation and Activation-Aware Scaling HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate signals Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization A Hybrid Vision-Language Architecture for Automated Defect Reasoning and Report Generation in Industrial Inspection Quantized Keys Steal Attention: Bias Correction for KV-Cache Compression in Video Diffusion BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma Bridging Classification and Reconstruction: Cooperative Time Series Anomaly Detection SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection Co-folding model guided by structural proteomics Energy-Gated Attention and Wavelet Positional Encoding: Complementary Inductive Biases for Transformer Attention Stateful Inference for Low-Latency Multi-Agent Tool Calling Two-Parameter Flows for Learning Population Dynamics of Physical Systems On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series A Fast and Generic Energy-Shifting Transformer for Hybrid Monte Carlo Radiotherapy Calculation ARBITER: Reasoning Trajectory Basins and Majority Vote Failures in Test-Time Sampling When Rule Violations Are Rare: Chimera Training for Logical Anomaly Detection The Constraint Tax: Measuring Validity-Correctness Tradeoffs in Structured Outputs for Small Language Models When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding

溯拒之变：掘隐拒迹以固脱囚侦之术

Xulin Hu, Ch · 2026-05-06 · via cs.LG updates on arXiv.org

此內容由慣性聚合(RSS閱讀器)自動聚合整理，僅供閱讀參考。原文來自 — 版權歸原作者所有。