| 1 |
Enhancing Peak Assignment in 13C NMR Spectroscopy: A Novel Approach Using Multimodal Alignment |
提出K-M3AID以解决13C NMR光谱峰分配问题 |
contrastive learning multimodal |
|
|
| 2 |
Continual Learning of Diffusion Models with Generative Distillation |
提出生成蒸馏方法以提升扩散模型的持续学习能力 |
distillation |
|
|
| 3 |
Fast Policy Learning for Linear Quadratic Control with Entropy Regularization |
提出正则化策略梯度和迭代策略优化以解决线性二次控制问题 |
policy learning |
|
|
| 4 |
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation |
利用知识蒸馏提升LHC喷流分类的效率与鲁棒性 |
distillation |
|
|
| 5 |
A density estimation perspective on learning from pairwise human preferences |
提出基于密度估计的方法以解决人类偏好学习问题 |
reinforcement learning large language model |
|
|
| 6 |
Knowledge Distillation Based Semantic Communications For Multiple Users |
提出基于知识蒸馏的语义通信系统以解决多用户干扰问题 |
distillation |
|
|
| 7 |
Multi-intention Inverse Q-learning for Interpretable Behavior Representation |
提出分层逆Q学习以解决复杂行为意图推断问题 |
reinforcement learning inverse reinforcement learning |
|
|