Large-scale language models show promising text generation capabilities, but users cannot easily control this generation process. We releaseCTRL, a 1.6 billion-parameter conditional transformer language model,
DeepAC – conditional transformer-based chemical language model for the prediction of activity cliffs formed by bioactive compoundsdoi:10.1039/D2DD00077FActivity cliffs (ACs) are formed by pairs of structurally similar or analogous active small molecules with large differences in potency. In medicinal ...
3.1 Review of CLIP and CoOp Contrastive Language-Image Pre-training using two encoders image encoder: ResNet | VIT text encoder: Transformer minibatch of iamge-text pair :对于每张图片,CLIP最大限度地提高与匹配文本的余弦相似度,同时最小化与所有其他未匹配文本的余弦相似度,并且对每个文本也以类似的方...
In contrast, for vision-language models1 like CLIP [40] and ALIGN [24], the classification weights are diametri- cally generated by a parameterized text encoder (e.g., a Transformer [48]) through prompting [34]. For instance, to differentiate pet images containing different bree...
Schwaller, P. et al. Molecular transformer: a model for uncertainty-calibrated chemical reaction prediction.ACS Cent. Sci.5, 1572–1583 (2019). ArticleGoogle Scholar Bradshaw, J., Paige, B., Kusner, M. J., Segler, M. & Hernández-Lobato, J. M. A model to search for synthesizable mole...
UnCLIP是通过transformer输入text-condition作为input,扩散出CLIP image embedding(一维)。 LDM把text-condition通过cross attention混合到latent diffusion的UNet中间层,扩散出latent feature(猜测是二维)。 DM Prior的学习目标不同: UnCLIP是以学习denoise之后的image embedding作为目标 ...
Yang, Y. et al. Syntalinker: automatic fragment linking with deep conditional transformer neural networks.Chem. Sci.11, 8312–8322 (2020). ArticleGoogle Scholar Imrie, F., Bradley, A. R., Schaar, M. & Deane, C. M. Deep generative models for 3D linker design.J. Chem. Inf. Model.60...
One such model class, exploiting deep inference networks, is the variational autoencoder (VAE).32,33Inference networks of VAEs take observed data as the input and return a distribution over the latent state. VAEs are, however, often primarily used as tools for dimensionality reduction, where da...
其中,Time embedding 就是 Transformer[3] 文章中对时间步进行嵌入的方式;Feature embedding 应该是作者对 K 个feature 进行的嵌入;conditional mask \mathbf{m}^{co} 表示一个 0/1 张量,表示缺失值/存在值。 实验 本文在 health care dataset 和 air quality dataset 上做了实验,benchmark 采用了 Multitask ...
strong unconditional generation performance does not guarantee high-quality conditional generation. This paper proposes Tractable Transformers (Tracformer), a Transformer-based generative model that is more robust to different conditional generation tasks. Unlike existing models that rely solely on global cont...