Linking pages
- Intel’s Prune Once for All Compression Method Achieves SOTA Compression-to-Accuracy Results on BERT | Synced https://syncedreview.com/2021/11/18/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-147/ 1 comment
- Microsoft Asia’s Swin Transformer V2 Scales the Award-Winning ViT to 3 Billion Parameters and Achieves SOTA Performance on Vision Benchmarks | Synced https://syncedreview.com/2021/11/22/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-149/ 0 comments
Linked pages
- GitHub - microsoft/SPTAG: A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario. https://github.com/microsoft/SPTAG 43 comments
- Intel’s Prune Once for All Compression Method Achieves SOTA Compression-to-Accuracy Results on BERT | Synced https://syncedreview.com/2021/11/18/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-147/ 1 comment
- Research | Synced https://syncedreview.com/category/technology/ 0 comments
- Microsoft Asia’s Swin Transformer V2 Scales the Award-Winning ViT to 3 Billion Parameters and Achieves SOTA Performance on Vision Benchmarks | Synced https://syncedreview.com/2021/11/22/deepmind-podracer-tpu-based-rl-frameworks-deliver-exceptional-performance-at-low-cost-149/ 0 comments
Related searches:
Search whole site: site:syncedreview.com
Search title: SPANN: A Highly-Efficient Billion-Scale Approximate Nearest Neighbour Search That’s 2× Faster Than the SOTA Method | Synced
See how to search.