| 1 |
MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction |
提出MKGR以解决冷启动蛋白质相互作用预测问题 |
representation learning multimodal |
|
|
| 2 |
A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA |
提出电路基础模型以提升VLSI电路设计效率 |
representation learning large language model foundation model |
|
|
| 3 |
When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models |
提出物理不变性认证方法以解决学习表示中的守恒法则问题 |
world model world models latent dynamics |
|
|
| 4 |
Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates |
提出信任区域逆强化学习以解决稳定性与效率问题 |
reinforcement learning imitation learning inverse reinforcement learning |
|
|
| 5 |
Certified World Models as Sensing Clocks: Drift-Aware Deadlines for Active Perception |
提出认证世界模型作为感知时钟以解决主动感知中的漂移问题 |
world model world models JEPA |
|
|
| 6 |
Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-Training |
提出自蒸馏策略优化以解决持续后训练中的遗忘问题 |
reinforcement learning policy learning distillation |
|
|
| 7 |
Generalization in offline RL: The structure is more important than the amount of pessimism |
提出对称性价值函数以优化离线强化学习中的泛化能力 |
reinforcement learning offline RL offline reinforcement learning |
|
|
| 8 |
Composite Reward Design in PPO-Driven Adaptive Filtering |
提出基于PPO的复合奖励设计以解决自适应滤波问题 |
reinforcement learning PPO reward design |
|
|
| 9 |
Certified World Models: Predictability Across Configuration, Horizon, and Resolution |
提出可认证的世界模型以解决预测可靠性问题 |
world model world models |
|
|
| 10 |
Neuron-Aware Data Selection for Annotation-Free LLM Self-Distillation |
提出Neuron-OPSD以解决无标注LLM自蒸馏问题 |
offline RL distillation large language model |
|
|
| 11 |
DemoPSD: Disagreement-Modulated Policy Self-Distillation |
提出DemoPSD以解决特权信息泄露与探索能力不足问题 |
distillation privileged information large language model |
|
|
| 12 |
Evolutionary Feature Engineering for Structured Data |
提出进化特征工程框架以优化结构化数据处理 |
MAE large language model foundation model |
|
|
| 13 |
DecompRL: Solving Harder Problems by Learning Modular Code Generation |
提出DecompRL以解决复杂问题的模块化代码生成 |
reinforcement learning world model world models |
|
|
| 14 |
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models |
提出ThreadWeaver以解决大语言模型推理效率问题 |
reinforcement learning large language model chain-of-thought |
|
|
| 15 |
On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning |
提出逆动力学模型以提升半监督模仿学习的样本效率 |
policy learning imitation learning behavior cloning |
|
|
| 16 |
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs |
提出DLDMF以解决参数化PDEs的泛化与外推问题 |
latent dynamics spatiotemporal |
|
|
| 17 |
Learning the Supports for Categorical Critic in Reinforcement Learning |
提出动态学习支持区间的方法以解决值函数估计问题 |
reinforcement learning deep reinforcement learning |
|
|
| 18 |
Mean Field Reinforcement Learning |
提出均值场强化学习以解决大规模随机控制问题 |
reinforcement learning deep reinforcement learning |
|
|
| 19 |
When Does Predictive Inverse Dynamics Outperform Behavior Cloning? |
提出预测逆动力学模型以解决行为克隆样本效率低下问题 |
imitation learning behavior cloning |
|
|
| 20 |
On the Role of Computation in Reinforcement Learning |
提出计算受限策略以提升强化学习的学习能力 |
reinforcement learning offline RL |
|
|
| 21 |
Liquid Latent State Dynamics for Interpretable Turbofan Degradation Modeling |
提出液态潜在状态动态模型以解决涡扇发动机退化建模问题 |
world model world models latent dynamics |
|
|
| 22 |
The Rollout Infrastructure Tax in Coding-Agent Reinforcement Learning |
提出执行基础设施优化以提升编码代理强化学习效率 |
reinforcement learning |
|
|
| 23 |
Wind-Aware Reinforcement Learning Control of a Small Quadrotor Using Learned Onboard Wind Estimation in Simulated Atmospheric Turbulence |
提出基于风感知的强化学习控制方法以应对小型四旋翼在气流中的挑战 |
reinforcement learning |
|
|
| 24 |
WARP: Weight-Space Analysis for Recovering Training Data Portfolios |
提出WARP框架以恢复训练数据组合 |
MAE foundation model |
|
|
| 25 |
Role-Aware Neural Convex Divergence Heads for Asymmetric Representation Learning |
提出角色感知神经凸散度头以解决非对称表示学习问题 |
representation learning |
|
|
| 26 |
Many Voices, One Reward: Multi-Role Rubric Generation for LLM Judging and Reward Modeling |
提出多角色评分生成方法以解决单一评估者的盲点问题 |
reinforcement learning large language model |
|
|
| 27 |
Rank-Then-Act: Reward-Free Control from Frame-Order Progress |
提出Rank-Then-Act框架以解决无奖励控制问题 |
reinforcement learning policy learning reward design |
|
|
| 28 |
One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective |
提出PWO算法以优化神经量子态训练 |
reinforcement learning |
|
|
| 29 |
WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs |
提出WattGPU以解决LLM推理能耗与延迟预测问题 |
predictive model large language model |
|
|
| 30 |
Staleness-Learning Rate Scaling Laws for Asynchronous RLHF |
提出时效性学习率缩放法则以优化异步RLHF系统 |
RLHF |
|
|
| 31 |
Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training |
提出单层Transformer训练方法以优化强化学习效果 |
reinforcement learning large language model |
|
|
| 32 |
Exact equivariance, kept through training, buys zero-shot generalisation across the symmetry group |
提出对称性保持的潜在世界模型以实现零-shot泛化 |
world model world models |
|
|