Deep Learning
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization
Multi-task offline reinforcement learning aims to develop a unified policy for diverse tasks without requiring real-time interaction with the environment.
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
Surgical video-language pretraining (VLP) faces unique challenges due to the knowledge domain gap and the scarcity of multi-modal data.
Cross-Device Collaborative Test-Time Adaptation
Specifically, we maintain and store a set of device-shared domain knowledge vectors, which accumulates the knowledge learned from all devices during their lifelong adaptation process.
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma
Figure 1: Comparison between Lagrangian (left) and Eulerian (right) perspectives.
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
To tackle this issue, we conducted the theoretical analysis to promote the effectiveness of contrast decoding.
Diffuser Lite: Towards Real-time Diffusion Planning Zibin Dong 1 Jianye Hao
The capability of generating high-quality long-horizon trajectories makes it a promising research direction.