practical deployment
This term refers to the process of effectively integrating AI models into real-world applications. It entails considerations of scalability, robustness, user interaction, and ongoing maintenance to ensure models function as intended outside of research environments.
- AutoEdit: Automatic Hyperparameter Tuning for Image Editing
- DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
- Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation
- Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation
- Neural Tangent Knowledge Distillation for Optical Convolutional Networks
- ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset