MolCycleGAN [51], which combines the JT-VAE architecture with CycleGAN [52] loss, facilitates the generation of molecules with predefined properties from a given molecular template. However, relatively few approaches currently support conditional generation based on user-defined property values. Notable ...
* 题目: A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation* PDF: arxiv.org/abs/2305.1898* 作者: Omar Seddati,Nathan Hubens,Stéphane Dupont,Thierry Dutoit* 题目: Distill Gold from Massive Ores: Efficient Dataset Distillation via ...
For the Zubat line, my gripe comes down to the 'Venom Asset' volatile status of the Balm move, which reminds me a lot of Coalossol's Tar Shot, a move that, while intriguing, ultimately sees very little use. Aside from that, define what you ...
the main selection is main-sequence202transposed +2 semitones to match the key of the transposed macro-sequence, and its first section has the meme loss. The rhythm choice is rhythm-sequence204transposed +2 semitones to match the key of the transposed main-sequence. Finally, the detail select...