Focus of Attention for Linear Predictors

Type: Preprint

Publication Date: 2012-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1212.6659

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Rapid Learning with Stochastic Focus of Attention 2011 Zhiliang Ying
Raphael Pelossof
+ The Attentive Perceptron 2010 Raphael Pelossof
Zhiliang Ying
+ The Attentive Perceptron 2010 Raphael Pelossof
Zhiliang Ying
+ Sequential Attention for Feature Selection 2022 MohammadHossein Bateni
Lin Chen
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
Taisuke Yasuda
+ Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives 2023 Shunsuke Kitada
+ Learning of Predictions 2012 Norbert M. Seel
+ PDF Chat Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions 2024 Harrie Oosterhuis
Lijun Lyu
Avishek Anand
+ Feature-Wise Bias Amplification 2018 K. Rustan M. Leino
Emily Black
Matt Fredrikson
Shayak Sen
Anupam Datta
+ ShareBoost: Efficient multiclass learning with feature sharing 2011 Shai Shalev‐Shwartz
Yonatan Wexler
Amnon Shashua
+ Learning to Make Accurate Predictions 2012
+ Automatic Generation of Attention Rules For Containment of Machine Learning Model Errors 2023 Samuel Ackerman
Axel Bendavid
Eitan Farchi
Orna Raz
+ Maintaining Stability and Plasticity for Predictive Churn Reduction 2023 George Alexandru Adam
Benjamin Haibe‐Kains
Anna Goldenberg
+ Learning in a complex prediction task 1996 Katia Duscherer
Axel Cleeremans
+ The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning 2023 Zhenmei Shi
Jiefeng Chen
Kunyang Li
Jayaram Raghuram
Xi Wu
Yingyu Liang
Somesh Jha
+ PDF Chat FeatureLTE: Learning to Estimate Feature Importance 2024 Tianping Zhang
Zhaoyang Wang
Chen Qian
Jian Li
Yin Lou
+ Feature Importance Estimation with Self-Attention Networks 2020 Blaž Škrlj
Sašo Džeroski
Nada Lavrač
Matej Petković
+ Rule induction for global explanation of trained models 2018 Madhumita Sushil
Simon Šuster
Walter Daelemans
+ Rule induction for global explanation of trained models 2018 Madhumita Sushil
Simon Šuster
Walter Daelemans
+ Taking Human out of Learning Applications: A Survey on Automated Machine Learning 2018 Zhenqian Shen
Yongqi Zhang
Lanning Wei
Huan Zhao
Quanming Yao
+ PDF Chat Concept-wise Fine-tuning Matters in Preventing Negative Transfer 2023 Yunqiao Yang
Long-Kai Huang
Ying Wei

Works That Cite This (0)

Action Title Year Authors