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NBDT: Neural-Backed Decision Trees
v1v2v3 (latest)

NBDT: Neural-Backed Decision Trees

1 April 2020
Alvin Wan
Lisa Dunlap
Daniel Ho
Jihan Yin
Scott Lee
Henry Jin
Suzanne Petryk
Sarah Adel Bargal
Joseph E. Gonzalez
ArXiv (abs)PDFHTMLGithub (622★)

Papers citing "NBDT: Neural-Backed Decision Trees"

50 / 51 papers shown
From Black-box to Causal-box: Towards Building More Interpretable Models
From Black-box to Causal-box: Towards Building More Interpretable Models
Inwoo Hwang
Yushu Pan
Elias Bareinboim
CMLOOD
412
2
0
24 Oct 2025
Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition
Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition
Conor McCarthy
Loes Quirijnen
Jan Peter van Zandwijk
Z. Geradts
M. Worring
152
1
0
08 Oct 2025
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective
Robert-Jan Bruintjes
A. Lengyel
O. Kayhan
Davide Zambrano
Nergis Tomen
Hadi Jamali Rad
Jan van Gemert
VLM
228
0
0
10 Jun 2025
Taxonomic Networks: A Representation for Neuro-Symbolic Pairing
Taxonomic Networks: A Representation for Neuro-Symbolic Pairing
Zekun Wang
Ethan L. Haarer
Nicki Barari
Christopher MacLellan
193
4
0
30 May 2025
Comprehensive Survey towards Security Authentication Methods for Satellite Communication Systems
Comprehensive Survey towards Security Authentication Methods for Satellite Communication Systems
Yunfei Meng
Changbo Ke
Zhiqiu Huang
173
3
0
30 Mar 2025
Language Model as Visual Explainer
Language Model as Visual ExplainerNeural Information Processing Systems (NeurIPS), 2024
Xingyi Yang
Xinchao Wang
VLM
271
2
0
08 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A
  Comprehensive Survey
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Yunkai Dang
Kaichen Huang
Jiahao Huo
Yibo Yan
Shijie Huang
...
Kun Wang
Yong Liu
Jing Shao
Hui Xiong
Xuming Hu
LRM
483
63
0
03 Dec 2024
Can a Single Tree Outperform an Entire Forest?
Can a Single Tree Outperform an Entire Forest?
Qiangqiang Mao
Yankai Cao
354
3
0
26 Nov 2024
Vanilla Gradient Descent for Oblique Decision Trees
Vanilla Gradient Descent for Oblique Decision TreesEuropean Conference on Artificial Intelligence (ECAI), 2024
Subrat Prasad Panda
B. Genest
Arvind Easwaran
Ponnuthurai Nagaratnam Suganthan
OffRL
356
3
0
17 Aug 2024
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with
  Class Taxonomies
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
Jia Shi
Gautam Gare
Jinjin Tian
Siqi Chai
Zhiqiu Lin
Arun Vasudevan
Di Feng
Francesco Ferroni
Shu Kong
VLMOODDOOD
346
13
0
22 Jul 2024
Is Data Valuation Learnable and Interpretable?
Is Data Valuation Learnable and Interpretable?
Ou Wu
Weiyao Zhu
Mengyang Li
TDI
370
2
0
03 Jun 2024
A Novel Review of Stability Techniques for Improved Privacy-Preserving
  Machine Learning
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning
Coleman DuPlessie
Aidan Gao
158
0
0
31 May 2024
Vehicle Behavior Prediction by Episodic-Memory Implanted NDT
Vehicle Behavior Prediction by Episodic-Memory Implanted NDT
Peining Shen
Jianwu Fang
Hongkai Yu
Jianru Xue
261
2
0
13 Feb 2024
Path Choice Matters for Clear Attribution in Path Methods
Path Choice Matters for Clear Attribution in Path Methods
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
251
4
0
19 Jan 2024
CLIPDraw++: Text-to-Sketch Synthesis with Simple Primitives
CLIPDraw++: Text-to-Sketch Synthesis with Simple Primitives
Nityanand Mathur
Shyam Marjit
Abhra Chaudhuri
Anjan Dutta
CLIP
358
0
0
04 Dec 2023
Fair Feature Importance Scores for Interpreting Tree-Based Methods and
  Surrogates
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates
Camille Olivia Little
Debolina Halder Lina
Genevera I. Allen
347
1
0
06 Oct 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao Wang
Yifan Zhang
361
7
0
26 Apr 2023
SketchXAI: A First Look at Explainability for Human Sketches
SketchXAI: A First Look at Explainability for Human SketchesComputer Vision and Pattern Recognition (CVPR), 2023
Zhiyu Qu
Yulia Gryaditskaya
Ke Li
Kaiyue Pang
Tao Xiang
Yi-Zhe Song
262
15
0
23 Apr 2023
Label-Free Concept Bottleneck Models
Label-Free Concept Bottleneck ModelsInternational Conference on Learning Representations (ICLR), 2023
Tuomas P. Oikarinen
Subhro Das
Lam M. Nguyen
Tsui-Wei Weng
450
284
0
12 Apr 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks
LEURN: Learning Explainable Univariate Rules with Neural Networks
Çağlar Aytekin
FAtt
267
0
0
27 Mar 2023
Contrastive Hierarchical Clustering
Contrastive Hierarchical Clustering
Michal Znale'zniak
P. Rola
Patryk Kaszuba
Jacek Tabor
Marek Śmieja
202
10
0
03 Mar 2023
An Attention-based Approach to Hierarchical Multi-label Music Instrument
  Classification
An Attention-based Approach to Hierarchical Multi-label Music Instrument ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Zhi-Wei Zhong
M. Hirano
Kazuki Shimada
Kazuya Tateishi
Shusuke Takahashi
Yuki Mitsufuji
239
18
0
16 Feb 2023
Efficient Fraud Detection Using Deep Boosting Decision Trees
Efficient Fraud Detection Using Deep Boosting Decision TreesDecision Support Systems (DSS), 2023
Bi-Cun Xu
Yaonan Wang
Xiuwu Liao
Kaidong Wang
219
53
0
12 Feb 2023
Bort: Towards Explainable Neural Networks with Bounded Orthogonal
  Constraint
Bort: Towards Explainable Neural Networks with Bounded Orthogonal ConstraintInternational Conference on Learning Representations (ICLR), 2022
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
AAML
280
8
0
18 Dec 2022
Deep Explainable Learning with Graph Based Data Assessing and Rule
  Reasoning
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning
Yuanlong Li
Gaopan Huang
Min Zhou
Chuan Fu
Honglin Qiao
Yan He
278
1
0
09 Nov 2022
Behavioral Intention Prediction in Driving Scenes: A Survey
Behavioral Intention Prediction in Driving Scenes: A Survey
Jianwu Fang
Fan Wang
Jianru Xue
Tat-Seng Chua
535
89
0
01 Nov 2022
Neural Networks are Decision Trees
Neural Networks are Decision Trees
Çağlar Aytekin
FAtt
480
34
0
11 Oct 2022
A Survey of Neural Trees
A Survey of Neural Trees
Haoling Li
Mingli Song
Mengqi Xue
Haofei Zhang
Jingwen Ye
Lechao Cheng
Weilong Dai
AI4CE
393
7
0
07 Sep 2022
Proto2Proto: Can you recognize the car, the way I do?
Proto2Proto: Can you recognize the car, the way I do?Computer Vision and Pattern Recognition (CVPR), 2022
Monish Keswani
Sriranjani Ramakrishnan
Nishant Reddy
V. Balasubramanian
452
34
0
25 Apr 2022
Attributable Visual Similarity Learning
Attributable Visual Similarity LearningComputer Vision and Pattern Recognition (CVPR), 2022
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
211
20
0
28 Mar 2022
Fine-Grained Scene Graph Generation with Data Transfer
Fine-Grained Scene Graph Generation with Data TransferEuropean Conference on Computer Vision (ECCV), 2022
Ao Zhang
Yuan Yao
Qián Chen
Wei Ji
Zhiyuan Liu
Maosong Sun
Tat-Seng Chua
399
116
0
22 Mar 2022
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable
  Few-Shot Learning
MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning
Baoquan Zhang
Hao Jiang
Xutao Li
Shanshan Feng
Yunming Ye
Rui Ye
353
5
0
03 Mar 2022
Transition Matrix Representation of Trees with Transposed Convolutions
Transition Matrix Representation of Trees with Transposed ConvolutionsSDM (SDM), 2022
Jaemin Yoo
Lee Sael
127
1
0
22 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXtNeural Information Processing Systems (NeurIPS), 2022
Apostolos Avranas
Marios Kountouris
FAtt
346
1
0
10 Feb 2022
Computing Class Hierarchies from Classifiers
Computing Class Hierarchies from Classifiers
Kai Kang
Fangzhen Lin
135
0
0
02 Dec 2021
Privacy-preserving Federated Adversarial Domain Adaption over Feature
  Groups for Interpretability
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for InterpretabilityIEEE Transactions on Big Data (TBD), 2021
Weijing Chen
Yang Liu
Yuezhou Wu
Guoqiang Ma
Qiang Yang
219
46
0
22 Nov 2021
Finding Representative Interpretations on Convolutional Neural Networks
Finding Representative Interpretations on Convolutional Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2021
P. C. Lam
Lingyang Chu
Maxim Torgonskiy
Jian Pei
Yong Zhang
Lanjun Wang
FAttSSLHAI
236
7
0
13 Aug 2021
Harnessing value from data science in business: ensuring explainability
  and fairness of solutions
Harnessing value from data science in business: ensuring explainability and fairness of solutions
Krzysztof Chomiak
Michal Miktus
135
1
0
10 Aug 2021
SONG: Self-Organizing Neural Graphs
SONG: Self-Organizing Neural GraphsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Lukasz Struski
Tomasz Danel
Marek Śmieja
Jacek Tabor
Bartosz Zieliñski
287
1
0
28 Jul 2021
DRDF: Determining the Importance of Different Multimodal Information
  with Dual-Router Dynamic Framework
DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic FrameworkACM Multimedia (ACM MM), 2021
Haiwen Hong
Xuan Jin
Yin Zhang
Yunqing Hu
Jingfeng Zhang
Yuan He
Hui Xue
MoE
147
0
0
21 Jul 2021
Coarse-to-Fine Curriculum Learning
Coarse-to-Fine Curriculum Learning
Otilia Stretcu
Emmanouil Antonios Platanios
Tom Michael Mitchell
Barnabas Poczos
187
12
0
08 Jun 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks
Leveraging Sparse Linear Layers for Debuggable Deep NetworksInternational Conference on Machine Learning (ICML), 2021
Eric Wong
Shibani Santurkar
Aleksander Madry
FAtt
313
100
0
11 May 2021
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes
A. Lengyel
Marcos Baptista-Rios
O. Kayhan
Jan van Gemert
VLM
166
13
0
05 Mar 2021
Dive into Decision Trees and Forests: A Theoretical Demonstration
Dive into Decision Trees and Forests: A Theoretical Demonstration
Jinxiong Zhang
277
6
0
20 Jan 2021
Adaptive Verifiable Training Using Pairwise Class Similarity
Adaptive Verifiable Training Using Pairwise Class SimilarityAAAI Conference on Artificial Intelligence (AAAI), 2020
Shiqi Wang
Kevin Eykholt
Taesung Lee
Jiyong Jang
Ian Molloy
OOD
196
1
0
14 Dec 2020
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Neural Prototype Trees for Interpretable Fine-grained Image RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Meike Nauta
Ron van Bree
C. Seifert
585
352
0
03 Dec 2020
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
CDT: Cascading Decision Trees for Explainable Reinforcement Learning
Zihan Ding
Pablo Hernandez-Leal
G. Ding
Changjian Li
Ruitong Huang
318
22
0
15 Nov 2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors
TUTOR: Training Neural Networks Using Decision Rules as Model Priors
Shayan Hassantabar
Prerit Terway
N. Jha
410
12
0
12 Oct 2020
TripleTree: A Versatile Interpretable Representation of Black Box Agents
  and their Environments
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their EnvironmentsAAAI Conference on Artificial Intelligence (AAAI), 2020
Tom Bewley
J. Lawry
FAtt
314
32
0
10 Sep 2020
SegNBDT: Visual Decision Rules for Segmentation
SegNBDT: Visual Decision Rules for Segmentation
Alvin Wan
Daniel Ho
You Song
Henk Tillman
Sarah Adel Bargal
Joseph E. Gonzalez
SSeg
218
7
0
11 Jun 2020
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