Summary of Gradient-free Neural Network Training on the Edge, by Dotan Di Castro et al.
Gradient-Free Neural Network Training on the Edgeby Dotan Di Castro, Omkar Joglekar, Shir Kozlovsky, Vladimir…
Summary of Use Of What-if Scenarios to Help Explain Artificial Intelligence Models For Neonatal Health, by Abdullah Mamun et al.
Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Healthby Abdullah Mamun,…
Summary of Towards the Effect Of Examples on In-context Learning: a Theoretical Case Study, by Pengfei He et al.
Towards the Effect of Examples on In-Context Learning: A Theoretical Case Studyby Pengfei He, Yingqian…
Summary of C-adapter: Adapting Deep Classifiers For Efficient Conformal Prediction Sets, by Kangdao Liu et al.
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Setsby Kangdao Liu, Hao Zeng, Jianguo Huang,…
Summary of Exploring Space Efficiency in a Tree-based Linear Model For Extreme Multi-label Classification, by He-zhe Lin and Cheng-hung Liu and Chih-jen Lin
Exploring space efficiency in a tree-based linear model for extreme multi-label classificationby He-Zhe Lin, Cheng-Hung…
Summary of Inference and Verbalization Functions During In-context Learning, by Junyi Tao et al.
Inference and Verbalization Functions During In-Context Learningby Junyi Tao, Xiaoyin Chen, Nelson F. LiuFirst submitted…
Summary of Text Classification Using Graph Convolutional Networks: a Comprehensive Survey, by Syed Mustafa Haider Rizvi et al.
Text Classification using Graph Convolutional Networks: A Comprehensive Surveyby Syed Mustafa Haider Rizvi, Ramsha Imran,…
Summary of Learning Algorithms Made Simple, by Noorbakhsh Amiri Golilarz et al.
Learning Algorithms Made Simpleby Noorbakhsh Amiri Golilarz, Elias Hossain, Abdoljalil Addeh, Keyan Alexander RahimiFirst submitted…
Summary of Encoding Agent Trajectories As Representations with Sequence Transformers, by Athanasios Tsiligkaridis et al.
Encoding Agent Trajectories as Representations with Sequence Transformersby Athanasios Tsiligkaridis, Nicholas Kalinowski, Zhongheng Li, Elizabeth…
Summary of Predicting Drug Effects From High-dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: a Comprehensive Analysis Of Multitarget Drug Effect Prediction, By Avishek Bose and Guojing Cong
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive…