Influence functions were used to fine‑tune DeepRx with only the most beneficial training samples, achieving BER improvement over random fine‑tuning. Read more: https://getnews.me/influence-functions-enable-targeted-fine-tuning-of-deep-receivers/ #influencefunctions #deeprx
September 22, 2025 at 2:20 PM
Influence functions were used to fine‑tune DeepRx with only the most beneficial training samples, achieving BER improvement over random fine‑tuning. Read more: https://getnews.me/influence-functions-enable-targeted-fine-tuning-of-deep-receivers/ #influencefunctions #deeprx
Dropout is used to sparsify gradients, slashing runtime and memory while preserving accurate influence‑function rankings on benchmark tasks. Read more: https://getnews.me/efficient-influence-functions-using-dropout-for-gradient-compression/ #influencefunctions #dropout
September 22, 2025 at 10:21 AM
Dropout is used to sparsify gradients, slashing runtime and memory while preserving accurate influence‑function rankings on benchmark tasks. Read more: https://getnews.me/efficient-influence-functions-using-dropout-for-gradient-compression/ #influencefunctions #dropout
🔍🤖📊 Unlocking Transparency in Diffusion Models With Scalable Data Attribution Methods www.azoai.com/news/2024102... #AI #machinelearning #generativemodels #influencefunctions #diffusionmodels #datatransparency #scalability #research @arxiv-stat-ml.bsky.social
Unlocking Transparency in Diffusion Models With Scalable Data Attribution Methods
Researchers developed a scalable framework for data attribution in diffusion models, using influence functions to improve model transparency and accountability.
www.azoai.com
October 23, 2024 at 12:06 AM
🔍🤖📊 Unlocking Transparency in Diffusion Models With Scalable Data Attribution Methods www.azoai.com/news/2024102... #AI #machinelearning #generativemodels #influencefunctions #diffusionmodels #datatransparency #scalability #research @arxiv-stat-ml.bsky.social