Summary of Adapt: Multimodal Learning For Detecting Physiological Changes Under Missing Modalities, by Julie Mordacq et al.
ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalitiesby Julie Mordacq, Leo Milecki, Maria…
Summary of Entropic Optimal Transport Eigenmaps For Nonlinear Alignment and Joint Embedding Of High-dimensional Datasets, by Boris Landa et al.
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasetsby Boris Landa,…
Summary of Mitigate the Gap: Investigating Approaches For Improving Cross-modal Alignment in Clip, by Sedigheh Eslami and Gerard De Melo
Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIPby Sedigheh Eslami, Gerard de…
Summary of Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models, by Lynn Chua et al.
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Modelsby Lynn Chua, Badih Ghazi, Yangsibo…
Summary of Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling, by Tianxiang Zhao and Dongsheng Luo and Xiang Zhang and Suhang Wang
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modelingby Tianxiang Zhao, Dongsheng Luo, Xiang Zhang,…
Summary of Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification, by Yunhe Gao et al.
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classificationby Yunhe Gao, Difei Gu,…
Summary of Residual Connections and Normalization Can Provably Prevent Oversmoothing in Gnns, by Michael Scholkemper et al.
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNsby Michael Scholkemper, Xinyi Wu, Ali…
Summary of Radar Spectra-language Model For Automotive Scene Parsing, by Mariia Pushkareva et al.
Radar Spectra-Language Model for Automotive Scene Parsingby Mariia Pushkareva, Yuri Feldman, Csaba Domokos, Kilian Rambach,…
Summary of Tabmda: Tabular Manifold Data Augmentation For Any Classifier Using Transformers with In-context Subsetting, by Andrei Margeloiu et al.
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsettingby Andrei Margeloiu,…
Summary of Embedding-aligned Language Models, by Guy Tennenholtz et al.
Embedding-Aligned Language Modelsby Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig BoutilierFirst…