Summary of Diffusion Model with Cross Attention As An Inductive Bias For Disentanglement, by Tao Yang et al.
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglementby Tao Yang, Cuiling Lan,…
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglementby Tao Yang, Cuiling Lan,…
CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decodingby Qiongyi Zhou, Changde Du, Shengpei Wang, Huiguang…
Object Attribute Matters in Visual Question Answeringby Peize Li, Qingyi Si, Peng Fu, Zheng Lin,…
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairingby Jaeill Kim, Duhun Hwang, Eunjung Lee, Jangwon…
Masked Modeling for Self-supervised Representation Learning on Vision and Beyondby Siyuan Li, Luyuan Zhang, Zedong…
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imagingby Rui Yan, Liangqiong Qu,…
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learningby En Fu, Yanyan HuFirst…
Multimodal Variational Autoencoder: a Barycentric Viewby Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Xiaotong…
Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognitionby Junyao Wang, Mohammad Abdullah Al FaruqueFirst submitted…
Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responsesby Hui Liu, Shikai JinFirst…