generalisation
Generalization in AI refers to the ability of a model to perform well on unseen data that was not part of the training set, indicating that the model has learned underlying patterns rather than merely memorizing training examples.
- BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
- Improving Regret Approximation for Unsupervised Dynamic Environment Generation
- Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
- Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning
- Scale-invariant attention
- Towards Reliable Identification of Diffusion-based Image Manipulations
- WebDancer: Towards Autonomous Information Seeking Agency