会员服务
Enhanced Evolutionary Multi-Objective Deep Reinforcement Learning for Reliable and Efficient Wireless Rechargeable Sensor Networks
Arxiv
0+阅读 · 6月16日
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks
Arxiv
0+阅读 · 6月16日
Learning Fair Pareto-Optimal Policies in Multi-Objective Reinforcement Learning
Arxiv
0+阅读 · 6月16日
CropTrack: A Tracking with Re-Identification Framework for Precision Agriculture
Arxiv
0+阅读 · 6月13日
Multi-objective probabilistic forecast combination for inventory demand
Arxiv
0+阅读 · 6月3日
Understanding Identity Continuity in Thermal Video through Scene-Level Consistency
Arxiv
0+阅读 · 6月1日
Benchmarking Continuous Dynamic Multi-Objective Optimization: Survey and Generalized Test Suite
Arxiv
0+阅读 · 6月2日
Toward Trustworthy AI: Multi-Target Adversarial Attacks and Robust Defenses for Continuous Data Summarization
Arxiv
0+阅读 · 6月10日
Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization
Arxiv
0+阅读 · 6月12日
ParetoPilot: Zero-Surrogate Offline Multi-Objective Optimization via Infer-Perturb-Guide Diffusion
Arxiv
0+阅读 · 6月3日
TRUST-TAEA: A trustworthiness-guided two-archive evolutionary algorithm with variable-grouping sparse search for large-scale multi-objective optimization
Arxiv
0+阅读 · 5月26日
Efficient Online 3D Multi-Camera Multi-Object Tracking and Pose Estimation
Arxiv
0+阅读 · 6月12日
Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search
Arxiv
0+阅读 · 5月18日
BioBlue: Systematic runaway-optimiser-like LLM failure modes on biologically and economically aligned AI safety benchmarks for LLMs with simplified observation format
Arxiv
0+阅读 · 6月3日
QUIVER: Cost-Aware Adaptive Preference Querying in Surrogate-Assisted Evolutionary Multi-Objective Optimization
Arxiv
0+阅读 · 5月5日
参考链接
微信扫码咨询专知VIP会员
Top