| 1 |
FedPFT: Federated Proxy Fine-Tuning of Foundation Models |
提出FedPFT以解决联邦学习中基础模型微调不足问题 |
distillation foundation model |
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| 2 |
LTL-Constrained Policy Optimization with Cycle Experience Replay |
提出Cycle Experience Replay解决LTL约束下的强化学习优化问题 |
reinforcement learning deep reinforcement learning DRL |
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| 3 |
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series |
提出DACAD以解决多变量时间序列异常检测中的标注数据稀缺问题 |
representation learning contrastive learning |
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| 4 |
Stepwise Alignment for Constrained Language Model Policy Optimization |
提出逐步对齐算法以优化受限语言模型策略 |
DPO direct preference optimization large language model |
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| 5 |
Variational quantization for state space models |
提出变分量化方法以解决时间序列预测问题 |
state space model |
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| 6 |
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning |
提出群体感知协调图以解决多智能体强化学习中的协作问题 |
reinforcement learning |
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| 7 |
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory |
提出LongVQ以解决长序列建模中的计算效率问题 |
SSM state space model |
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