Summary of Measuring Feature Dependency Of Neural Networks by Collapsing Feature Dimensions in the Data Manifold, By Yinzhu Jin et al.
Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifoldby Yinzhu…
Summary of Improving the Interpretability Of Gnn Predictions Through Conformal-based Graph Sparsification, by Pablo Sanchez-martin et al.
Improving the interpretability of GNN predictions through conformal-based graph sparsificationby Pablo Sanchez-Martin, Kinaan Aamir Khan,…
Summary of When Llms Are Unfit Use Fastfit: Fast and Effective Text Classification with Many Classes, by Asaf Yehudai et al.
When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classesby Asaf…
Summary of Trusted Multi-view Learning with Label Noise, by Cai Xu et al.
Trusted Multi-view Learning with Label Noiseby Cai Xu, Yilin Zhang, Ziyu Guan, Wei ZhaoFirst submitted…
Summary of Vcc-infuse: Towards Accurate and Efficient Selection Of Unlabeled Examples in Semi-supervised Learning, by Shijie Fang et al.
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learningby Shijie Fang, Qianhan…
Summary of Pureforest: a Large-scale Aerial Lidar and Aerial Imagery Dataset For Tree Species Classification in Monospecific Forests, by Charles Gaydon et al.
PureForest: A Large-Scale Aerial Lidar and Aerial Imagery Dataset for Tree Species Classification in Monospecific…
Summary of Variational Bayesian Last Layers, by James Harrison et al.
Variational Bayesian Last Layersby James Harrison, John Willes, Jasper SnoekFirst submitted to arxiv on: 17…
Summary of Deep Dependency Networks and Advanced Inference Schemes For Multi-label Classification, by Shivvrat Arya et al.
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classificationby Shivvrat Arya, Yu Xiang, Vibhav…
Summary of When Are Foundation Models Effective? Understanding the Suitability For Pixel-level Classification Using Multispectral Imagery, by Yiqun Xie et al.
When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imageryby Yiqun…
Summary of An Efficient Loop and Clique Coarsening Algorithm For Graph Classification, by Xiaorui Qi et al.
An Efficient Loop and Clique Coarsening Algorithm for Graph Classificationby Xiaorui Qi, Qijie Bai, Yanlong…