Summary of Influence Functions and Regularity Tangents For Efficient Active Learning, by Frederik Eaton
Influence functions and regularity tangents for efficient active learningby Frederik EatonFirst submitted to arxiv on:…
Summary of Tangnn: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism For Graph Representation Learning, by Jiawei E et al.
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph…
Summary of Dist Loss: Enhancing Regression in Few-shot Region Through Distribution Distance Constraint, by Guangkun Nie et al.
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraintby Guangkun Nie, Gongzheng Tang,…
Summary of Hybrid Gaussian Process Regression with Temporal Feature Extraction For Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics, by Tian Niu et al.
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval…
Summary of Iterative Reweighted Framework Based Algorithms For Sparse Linear Regression with Generalized Elastic Net Penalty, by Yanyun Ding et al.
Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penaltyby Yanyun…
Summary of Learning to Stabilize Faces, by Jan Bednarik et al.
Learning to Stabilize Facesby Jan Bednarik, Erroll Wood, Vasileios Choutas, Timo Bolkart, Daoye Wang, Chenglei…
Summary of Understanding Llm Embeddings For Regression, by Eric Tang et al.
Understanding LLM Embeddings for Regressionby Eric Tang, Bangding Yang, Xingyou SongFirst submitted to arxiv on:…
Summary of Nbmlss: Probabilistic Forecasting Of Electricity Prices Via Neural Basis Models For Location Scale and Shape, by Alessandro Brusaferri and Danial Ramin and Andrea Ballarino
NBMLSS: probabilistic forecasting of electricity prices via Neural Basis Models for Location Scale and Shapeby…
Summary of Tensor-based Foundations Of Ordinary Least Squares and Neural Network Regression Models, by Roberto Dias Algarte
Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Modelsby Roberto Dias AlgarteFirst submitted…
Summary of Attribute Inference Attacks For Federated Regression Tasks, by Francesco Diana et al.
Attribute Inference Attacks for Federated Regression Tasksby Francesco Diana, Othmane Marfoq, Chuan Xu, Giovanni Neglia,…