VTM-Nav: Harnessing Cross-Episode Experience for Object-Goal Navigation with Hierarchical…
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A Drift Stable Quantum Federated Learning for Intelligent Services
ASEval: Automated Trajectory-Level Security Testing for Autonomous Agents
DriftXpress: Faster Drifting Models via Projected RKHS Fields
Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of Use…
Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis
Embodiment-Induced Coordination Regimes in Tabular Multi-Agent Q-Learning
GPU-Accelerated ANNS: Quantized for Speed, Built for Change
Security Without Detection: Economic Denial as a Primitive for Edge and IoT Defense
CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Compu…
InteractComp: Evaluating Search Agents With Ambiguous Queries
A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Hete…
From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill Development
MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Med…
A Robust Pipeline for Differentially Private Federated Learning on Imbalanced Clinical Da…
Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Re…
When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learni…
Pixels for Programs? A Cross-Provider Case Study of Input-Token Accounting for Source Cod…
AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instabili…
Plato-Bio: verification-first biological novelty screening with temporal rediscovery and …
MusiChat: Vibe Composing for Music Creation
Color Fundus Photography Analysis: Co-evolution of Data, Preprocessing, and Modeling towa…
Understanding Machine Unlearning Through the Lens of Mode Connectivity
How AI is expanding what people do at work
RODR: Riemannian Orthogonally Decoupled Regularization for Disentangled Manifold Represen…
DECAF: De-Clustering for Adaptive Representational Unlearning
Instagram, Facebook Ran AI ‘Nudify’ Ads from China, Report Says
Greedy dynamical meta-learning