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[1] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[2] Rich Caruana,et al. Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation , 2017, AIES.
[3] Jerry Ma,et al. Quasi-hyperbolic momentum and Adam for deep learning , 2018, ICLR.
[4] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[5] Rich Caruana,et al. InterpretML: A Unified Framework for Machine Learning Interpretability , 2019, ArXiv.
[6] S. Sapra,et al. Generalized additive models in business and economics , 2013 .
[7] Yan Liu,et al. Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability , 2018, NeurIPS.
[8] R. Tibshirani,et al. Generalized Additive Models , 1986 .
[9] Yuval Pinter,et al. Attention is not not Explanation , 2019, EMNLP.
[10] André F. T. Martins,et al. Sparse Sequence-to-Sequence Models , 2019, ACL.
[11] Sercan O. Arik,et al. TabNet: Attentive Interpretable Tabular Learning , 2019, AAAI.
[12] Johannes Gehrke,et al. Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission , 2015, KDD.
[13] Stefan Hegselmann,et al. An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions , 2020, MLHC.
[14] R. Tibshirani,et al. Generalized additive models for medical research , 1995, Statistical methods in medical research.
[15] Harmanpreet Kaur,et al. Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning , 2020, CHI.
[16] Farzali Izadi,et al. Generalized Additive Models to Capture the Death Rates in Canada COVID-19 , 2020, Mathematics of Public Health.
[17] Rich Caruana,et al. Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models , 2020, AISTATS.
[18] Andrew Gordon Wilson,et al. Averaging Weights Leads to Wider Optima and Better Generalization , 2018, UAI.
[19] Kaiming He,et al. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour , 2017, ArXiv.
[20] Daniel Servén,et al. pyGAM: Generalized Additive Models in Python , 2018 .
[21] Rich Caruana,et al. How Interpretable and Trustworthy are GAMs? , 2020, KDD.
[22] Sarah Tan,et al. Learning Global Additive Explanations of Black-Box Models , 2019 .
[23] Eric J. Pedersen,et al. Hierarchical generalized additive models in ecology: an introduction with mgcv , 2019, PeerJ.
[24] Albert Gordo,et al. Learning Global Additive Explanations for Neural Nets Using Model Distillation , 2018 .
[25] Geoffrey E. Hinton,et al. Neural Additive Models: Interpretable Machine Learning with Neural Nets , 2020, NeurIPS.
[26] Been Kim,et al. Concept Bottleneck Models , 2020, ICML.
[27] Johannes Gehrke,et al. Accurate intelligible models with pairwise interactions , 2013, KDD.
[28] Sergei Popov,et al. Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data , 2019, ICLR.
[29] Yan Liu,et al. Detecting Statistical Interactions from Neural Network Weights , 2017, ICLR.