cs.LG(2024-09-21)

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支柱二:RL算法与架构 (RL & Architecture) (4) 支柱九:具身大模型 (Embodied Foundation Models) (1 🔗1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗
1 Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models 提出FIONA框架,融合音乐和语音基础模型,提升歌声Deepfake检测性能。 representation learning foundation model
2 FlowRL: Flow-Augmented Few-Shot Reinforcement Learning for Semi-Structured Sensor Data FlowRL:利用流增强的少样本强化学习处理半结构化传感器数据 reinforcement learning flow matching
3 One-shot World Models Using a Transformer Trained on a Synthetic Prior 提出基于Transformer的One-Shot World Model,利用合成先验数据进行环境建模。 world model
4 Test Time Learning for Time Series Forecasting 提出基于测试时学习(TTT)模块的并行架构,提升长时序预测性能。 Mamba SSM MAE

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
5 CONGRA: Benchmarking Automatic Conflict Resolution 提出ConGra以解决软件版本合并中的冲突问题 large language model

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