adaptation
Adaptation in the context of AI refers to the processes and methods used to adjust models or algorithms to new tasks, environments, or data distributions, enhancing their performance and ensuring resilience to changing conditions.
- Adaptively Coordinating with Novel Partners via Learned Latent Strategies
- From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography
- GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
- Localizing Knowledge in Diffusion Transformers
- Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
- PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation
- PoE-World: Compositional World Modeling with Products of Programmatic Experts
- The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis
- Towards Predicting Any Human Trajectory In Context