Summary of Can Large Language Models Be Privacy Preserving and Fair Medical Coders?, by Ali Dadsetan et al.
Can large language models be privacy preserving and fair medical coders?by Ali Dadsetan, Dorsa Soleymani,…
Summary of Convergence Analysis Of Wide Shallow Neural Operators Within the Framework Of Neural Tangent Kernel, by Xianliang Xu et al.
Convergence analysis of wide shallow neural operators within the framework of Neural Tangent Kernelby Xianliang…
Summary of Chimera: Accurate Retrosynthesis Prediction by Ensembling Models with Diverse Inductive Biases, By Krzysztof Maziarz et al.
Chimera: Accurate retrosynthesis prediction by ensembling models with diverse inductive biasesby Krzysztof Maziarz, Guoqing Liu,…
Summary of Sparse Autoencoders Reveal Selective Remapping Of Visual Concepts During Adaptation, by Hyesu Lim et al.
Sparse autoencoders reveal selective remapping of visual concepts during adaptationby Hyesu Lim, Jinho Choi, Jaegul…
Summary of Fodfom: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-distribution Detector, By Jiankang Chen and Ling Deng and Zhiyong Gan and Wei-shi Zheng and Ruixuan Wang
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detectorby Jiankang Chen, Ling…
Summary of Mixed Blessing: Class-wise Embedding Guided Instance-dependent Partial Label Learning, by Fuchao Yang et al.
Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learningby Fuchao Yang, Jianhong Cheng, Hui Liu,…
Summary of Explingo: Explaining Ai Predictions Using Large Language Models, by Alexandra Zytek et al.
Explingo: Explaining AI Predictions using Large Language Modelsby Alexandra Zytek, Sara Pido, Sarah Alnegheimish, Laure…
Summary of A Text-to-tabular Approach to Generate Synthetic Patient Data Using Llms, by Margaux Tornqvist et al.
A text-to-tabular approach to generate synthetic patient data using LLMsby Margaux Tornqvist, Jean-Daniel Zucker, Tristan…
Summary of Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins Via Detection to Mitigation, by David Steinmann et al.
Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigationby David Steinmann, Felix…
Summary of Towards Understanding the Role Of Sharpness-aware Minimization Algorithms For Out-of-distribution Generalization, by Samuel Schapiro et al.
Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalizationby Samuel Schapiro, Han ZhaoFirst…