Summary of Developing Healthcare Language Model Embedding Spaces, by Niall Taylor et al.
Developing Healthcare Language Model Embedding Spacesby Niall Taylor, Dan Schofield, Andrey Kormilitzin, Dan W Joyce,…
Summary of Ime: Integrating Multi-curvature Shared and Specific Embedding For Temporal Knowledge Graph Completion, by Jiapu Wang et al.
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completionby Jiapu Wang, Zheng…
Summary of Mveb: Self-supervised Learning with Multi-view Entropy Bottleneck, by Liangjian Wen et al.
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneckby Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin XuFirst…
Summary of S+t-sne — Bringing Dimensionality Reduction to Data Streams, by Pedro C. Vieira et al.
S+t-SNE – Bringing Dimensionality Reduction to Data Streamsby Pedro C. Vieira, João P. Montrezol, João…
Summary of Mapguide: a Simple Yet Effective Method to Reconstruct Continuous Language From Brain Activities, by Xinpei Zhao et al.
MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activitiesby Xinpei Zhao,…
Summary of L-mae: Longitudinal Masked Auto-encoder with Time and Severity-aware Encoding For Diabetic Retinopathy Progression Prediction, by Rachid Zeghlache et al.
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression predictionby Rachid…
Summary of Diverse Representation Embedding For Lifelong Person Re-identification, by Shiben Liu et al.
Diverse Representation Embedding for Lifelong Person Re-Identificationby Shiben Liu, Huijie Fan, Qiang Wang, Xiai Chen,…
Summary of A Temporal Graph Network Framework For Dynamic Recommendation, by Yejin Kim et al.
A Temporal Graph Network Framework for Dynamic Recommendationby Yejin Kim, Youngbin Lee, Vincent Yuan, Annika…
Summary of Geotokens and Geotransformers, by Eren Unlu
Geotokens and Geotransformersby Eren UnluFirst submitted to arxiv on: 23 Mar 2024CategoriesMain: Computation and Language…
Summary of College: Concept Embedding Generation For Large Language Models, by Ryan Teehan et al.
CoLLEGe: Concept Embedding Generation for Large Language Modelsby Ryan Teehan, Brenden Lake, Mengye RenFirst submitted…