public datasets
Datasets that are freely available for research and development purposes, enabling researchers to train, validate, and evaluate AI models, fostering collaboration and reproducibility within the AI community.
- Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
- Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
- ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
- Permissioned LLMs: Enforcing Access Control in Large Language Models
- SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
- Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming