cs.LG（2023-12-29）

📊 共 9 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (4) 支柱二：RL算法与架构 (RL & Architecture) (3) 支柱四：生成式动作 (Generative Motion) (1) 支柱一：机器人控制 (Robot Control) (1 🔗1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (4 篇)

#	题目	一句话要点	标签	🔗	⭐
1	XAI for In-hospital Mortality Prediction via Multimodal ICU Data	提出X-MMP模型，利用多模态ICU数据实现可解释的院内死亡率预测。	multimodal
2	Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges	探索决策基础模型的自监督预训练：方法、流程与挑战	foundation model
3	Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction	提出多模态融合深度学习模型MMFDL，提升药物性质预测的准确性和鲁棒性	multimodal
4	Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning	提出DP-LoRA，通过联邦学习和差分隐私实现LLM的低秩自适应微调。	large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)

#	题目	一句话要点	标签	🔗	⭐
5	HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning	提出HiBid，通过分层离线深度强化学习解决跨渠道约束竞价与预算分配问题	reinforcement learning deep reinforcement learning DRL
6	Generalization properties of contrastive world models	对比世界模型在泛化性上存在局限，尤其是在超出分布的场景下	world model
7	ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation	提出卷积链接信号Transformer（ClST）和信号知识蒸馏（SKD）方法，提升复杂信道下自动调制识别性能。	distillation

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
8	Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons	针对印刷多层感知器的乘累加和激活函数的定制近似框架	penetration

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
9	AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning	AIJack：用于机器学习安全与隐私风险评估的开源模拟器	manipulation	✅

⬅️ 返回 cs.LG 首页 · 🏠 返回主页