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 Which Backbone to Use: a Resource-efficient Domain Specific Comparison For Computer Vision, by Pranav Jeevan and Amit Sethi
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Visionby Pranav Jeevan, Amit…
Summary of Deep Learning to Predict Glaucoma Progression Using Structural Changes in the Eye, by Sayan Mandal
Deep Learning to Predict Glaucoma Progression using Structural Changes in the Eyeby Sayan MandalFirst submitted…
Summary of Aligned at the Start: Conceptual Groupings in Llm Embeddings, by Mehrdad Khatir et al.
Aligned at the Start: Conceptual Groupings in LLM Embeddingsby Mehrdad Khatir, Sanchit Kabra, Chandan K.…
Summary of Faclens: Transferable Probe For Foreseeing Non-factuality in Large Language Models, by Yanling Wang et al.
FacLens: Transferable Probe for Foreseeing Non-Factuality in Large Language Modelsby Yanling Wang, Haoyang Li, Hao…
Summary of Deep Neural Networks Are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation, by Hao Liu et al.
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimationby…
Summary of Transformer Conformal Prediction For Time Series, by Junghwan Lee et al.
Transformer Conformal Prediction for Time Seriesby Junghwan Lee, Chen Xu, Yao XieFirst submitted to arxiv…
Summary of Prog: a Graph Prompt Learning Benchmark, by Chenyi Zi et al.
ProG: A Graph Prompt Learning Benchmarkby Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong…
Summary of Calm: Contrasting Large and Small Language Models to Verify Grounded Generation, by I-hung Hsu et al.
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generationby I-Hung Hsu, Zifeng Wang,…
Summary of Reinforcement Learning For Intensity Control: An Application to Choice-based Network Revenue Management, by Huiling Meng et al.
Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Managementby Huiling Meng, Ningyuan…