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Sparse Interaction Additive Networks via Feature Interaction Detection
  and Sparse Selection
v1v2 (latest)

Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection

Neural Information Processing Systems (NeurIPS), 2022
19 September 2022
James Enouen
Yan Liu
ArXiv (abs)PDFHTML

Papers citing "Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection"

18 / 18 papers shown
Title
Additive Large Language Models for Semi-Structured Text
Additive Large Language Models for Semi-Structured Text
Karthikeyan K
Raghuveer Thirukovalluru
David Edwin Carlson
99
0
0
14 Nov 2025
Higher-Order Causal Structure Learning with Additive Models
Higher-Order Causal Structure Learning with Additive Models
James Enouen
Yujia Zheng
Ignavier Ng
Yan Liu
Kun Zhang
CML
305
2
0
05 Nov 2025
Additive Models Explained: A Computational Complexity Approach
Additive Models Explained: A Computational Complexity Approach
Shahaf Bassan
Michal Moshkovitz
Guy Katz
FAtt
209
1
0
24 Oct 2025
Multiplicative-Additive Constrained Models:Toward Joint Visualization of Interactive and Independent Effects
Multiplicative-Additive Constrained Models:Toward Joint Visualization of Interactive and Independent Effects
Fumin Wang
94
0
0
26 Sep 2025
Tree-like Pairwise Interaction Networks
Tree-like Pairwise Interaction Networks
Ronald Richman
Salvatore Scognamiglio
M. Wüthrich
FAttPINN
163
1
0
21 Aug 2025
Challenges in interpretability of additive models
Challenges in interpretability of additive models
Xinyu Zhang
Julien Martinelli
S. T. John
AAMLAI4CE
324
3
0
14 Apr 2025
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks
Anton Thielmann
Arik Reuter
Benjamin Saefken
LMTD
413
0
0
11 Apr 2025
HRR: Hierarchical Retrospection Refinement for Generated Image Detection
HRR: Hierarchical Retrospection Refinement for Generated Image Detection
Peipei Yuan
Zijing Xie
Shuo Ye
Hong Chen
Yulong Wang
DiffM
752
1
0
25 Feb 2025
Generalized Sparse Additive Model with Unknown Link Function
Generalized Sparse Additive Model with Unknown Link FunctionIndustrial Conference on Data Mining (IDM), 2024
Peipei Yuan
Xinge You
Hao Chen
Xuelin Zhang
Qinmu Peng
397
1
0
08 Oct 2024
GAMformer: In-Context Learning for Generalized Additive Models
GAMformer: In-Context Learning for Generalized Additive Models
Andreas Mueller
Julien N. Siems
Harsha Nori
David Salinas
Arber Zela
Rich Caruana
Frank Hutter
AI4CE
271
3
0
06 Oct 2024
Discovering Car-following Dynamics from Trajectory Data through Deep
  Learning
Discovering Car-following Dynamics from Trajectory Data through Deep Learning
Ohay Angah
James Enouen
Xuegang (Jeff) Ban
Ban
Yan Liu
210
0
0
01 Aug 2024
PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
Qian Chen
Dongyang Li
Xiaofeng He
Hongzhao Li
Hongyu Yi
224
0
0
25 Mar 2024
Neural Additive Image Model: Interpretation through Interpolation
Neural Additive Image Model: Interpretation through Interpolation
Arik Reuter
Anton Thielmann
Benjamin Saefken
DiffM
365
2
0
06 Mar 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Yi Cheng
Renjun Hu
Haochao Ying
Xing Shi
Jian Wu
Jialin Li
LMTD
242
14
0
04 Feb 2024
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse
  Network
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse NetworkNeural Information Processing Systems (NeurIPS), 2023
Fuyuan Lyu
Xing Tang
Dugang Liu
Chen Ma
Weihong Luo
Liang Chen
Xiuqiang He
Xue Liu
342
3
0
23 Oct 2023
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series
  Forecasting
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2023
Defu Cao
Furong Jia
Sercan O. Arik
Tomas Pfister
Yixiang Zheng
Wen Ye
Yan Liu
AI4TS
246
209
0
08 Oct 2023
Regionally Additive Models: Explainable-by-design models minimizing
  feature interactions
Regionally Additive Models: Explainable-by-design models minimizing feature interactions
Vasilis Gkolemis
Anargiros Tzerefos
Theodore Dalamagas
Eirini Ntoutsi
Christos Diou
FAtt
181
2
0
21 Sep 2023
Neural Additive Models for Location Scale and Shape: A Framework for
  Interpretable Neural Regression Beyond the Mean
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the MeanInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Anton Thielmann
René-Marcel Kruse
Thomas Kneib
Benjamin Säfken
240
23
0
27 Jan 2023
1