robust performance
Robust performance describes a model's ability to maintain effective predictions even when faced with adversarial inputs or out-of-distribution data, indicating generalization and reliability under varied conditions.
- CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization
- Differentiable Constraint-Based Causal Discovery
- Doubly Robust Alignment for Large Language Models
- Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation
- Robust Explanations of Graph Neural Networks via Graph Curvatures
- Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits
- SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
- Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
- Statistics Caching Test-Time Adaptation for Vision-Language Models
- Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM