Linking pages
- Researchers at Meta AI Create 'OMNI3D' Dataset For Object Recognition And 'Cube R-CNN' Model That Generalizes To Unseen Images - MarkTechPost https://www.marktechpost.com/2022/07/31/researchers-at-meta-ai-create-omni3d-dataset-for-object-recognition-and-cube-r-cnn-model-that-generalizes-to-unseen-images/ 0 comments
- Researchers at Microsoft Propose a Low-Precision Training Algorithm for GBDT, Based on Gradient Quantization - MarkTechPost https://www.marktechpost.com/2022/07/31/researchers-at-microsoft-propose-a-low-precision-training-algorithm-for-gbdt-based-on-gradient-quantization/ 0 comments
Linked pages
- New hardware offers faster computation for artificial intelligence, with much less energy | MIT News | Massachusetts Institute of Technology https://news.mit.edu/2022/analog-deep-learning-ai-computing-0728 53 comments
- Researchers at Meta AI Create 'OMNI3D' Dataset For Object Recognition And 'Cube R-CNN' Model That Generalizes To Unseen Images - MarkTechPost https://www.marktechpost.com/2022/07/31/researchers-at-meta-ai-create-omni3d-dataset-for-object-recognition-and-cube-r-cnn-model-that-generalizes-to-unseen-images/ 0 comments
- Researchers at Microsoft Propose a Low-Precision Training Algorithm for GBDT, Based on Gradient Quantization - MarkTechPost https://www.marktechpost.com/2022/07/31/researchers-at-microsoft-propose-a-low-precision-training-algorithm-for-gbdt-based-on-gradient-quantization/ 0 comments