| 1 |
TimeWorld: Towards Action-Conditioned Multimodal World Models for Time Series Forecasting |
提出TimeWorld以解决时间序列预测中的行动依赖建模问题 |
world model world models contrastive learning |
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| 2 |
Beyond Modeling Order: Dual-Path Spatiotemporal Representation Learning for Cross-Subject EEG Emotion Recognition |
提出双路径时空对比学习以解决跨主体EEG情感识别问题 |
representation learning contrastive learning motion representation |
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| 3 |
When Fine-Grained Credit Assignment Helps and Hurts: Multimodal Agentic Reinforcement Learning through Video Editing |
提出多模态强化学习方法以优化视频编辑任务中的信用分配问题 |
reinforcement learning distillation privileged information |
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| 4 |
Video World Models Need Predictable Latents |
提出可预测潜在空间以解决视频世界模型的长期预测问题 |
world model world models representation learning |
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| 5 |
AgriDefend: A $205 Offline Edge Device that Detects Crop Stress Before Visible Symptoms via Multimodal AI Fusion |
提出AgriDefend以解决作物应激早期检测问题 |
MAE multimodal |
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| 6 |
Reinforcement Learning Done Right for Explicit Confidence Targets |
提出RLEC以解决大语言模型的信心目标控制问题 |
reinforcement learning large language model |
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| 7 |
End-to-End MXFP8 Reinforcement Learning on Blackwell: What Matching Buys, When It Pays Off, and How It Fails |
提出MXFP8强化学习以优化大语言模型训练效率 |
reinforcement learning large language model |
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| 8 |
Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution |
提出基于路由集成和轨迹归因的多目标强化学习方法 |
reinforcement learning policy learning |
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| 9 |
TransECG-SSL: Hybrid Self-Supervised Representation Learning for ECG Arrhythmia Classification |
提出TransECG-SSL以解决ECG心律失常分类的跨数据集泛化问题 |
representation learning contrastive learning |
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| 10 |
AutoPRL: Automated Path Representation Learning via a Learnable View Generator |
提出AutoPRL以解决路径表示学习中的视图生成和训练效率问题 |
representation learning contrastive learning |
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| 11 |
Transporting Quantiles to Codebook: Scalable Vector Quantization without Codebook Collapse |
提出FlowVQ以解决向量量化中的代码本崩溃问题 |
flow matching representation learning VQ-VAE |
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| 12 |
CounterFlow: Target-Conditioned Flow Matching for Visual Counterfactuals |
提出CounterFlow以生成视觉反事实解释,提升模型可解释性 |
flow matching |
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| 13 |
Preference-Guided Cooperation in Multi-Objective Multi-Agent Reinforcement Learning |
提出MIRL以解决多目标多智能体强化学习中的合作问题 |
reinforcement learning |
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| 14 |
MiRL: Error-Targeted Reinforcement Learning for Correcting Terminal Agent Misbehaviors |
提出MiRL以解决终端代理错误行为问题 |
reinforcement learning |
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| 15 |
S3AC: Stabilized, Selective, and Scalable Actor-Critic for LLM Reasoning |
提出S3AC以解决长链推理中的批评者训练问题 |
reinforcement learning chain-of-thought |
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| 16 |
GPDPO: Learning from Reward Conflicts via Group Pareto-Dominance Policy Optimization |
提出GPDPO以解决多奖励信号冲突问题 |
reinforcement learning large language model |
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| 17 |
Multi-Horizon Future Discovery for Physics-Informed Exploration |
提出HTC²框架以增强物理控制环境中的探索能力 |
PPO SAC representation learning |
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| 18 |
Reinforcement learning for constrained stochastic linear--quadratic control in continuous time |
提出强化学习方法解决约束随机线性-二次控制问题 |
reinforcement learning |
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| 19 |
Stable Continuous-Time Consistency Distillation: An Empirical Study with a Multistep Extension |
提出稳定的连续时间一致性蒸馏方法以解决生成模型训练不稳定问题 |
distillation |
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