conftrace_

decision tree

322 papers

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DT

Co-occurring keywords

random forest (326) ensemble learning (1274) neural network (6616) support vector machine (978) interpretable machine learning (140) interpretable model (158) model compression (3302) gradient boosting (147) online learning (1777) ensemble method (564)

Papers

LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021
Interpretable Random Forests via Rule Extraction AISTATS 2021
Certifying Robustness to Programmable Data Bias in Decision Trees NIPS 2021
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making ACL 2021
Learning Decision Trees Recurrently Through Communication CVPR 2021
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments CVPR 2021
Global explanations with decision rules: a co-learning approach UAI 2021
Sparse Learning with CART NIPS 2020
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification ACL 2020
Training Decision Trees as Replacement for Convolution Layers AAAI 2020
Measuring Mutual Information Between All Pairs of Variables in Subquadratic Complexity AISTATS 2020
SnapBoost: A Heterogeneous Boosting Machine NIPS 2020
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees NIPS 2020
On Lp-norm Robustness of Ensemble Decision Stumps and Trees ICML 2020
Deep Dynamic Boosted Forest ACML 2020
Speeding up Very Fast Decision Tree with Low Computational Cost IJCAI 2020
LdSM: Logarithm-depth Streaming Multi-label Decision Trees AISTATS 2020
Decision Trees for Decision-Making under the Predict-then-Optimize Framework ICML 2020
Acoustic-Based Articulatory Phenotypes of Amyotrophic Lateral Sclerosis and Parkinson’s Disease: Towards an Interpretable, Hypothesis-Driven Framework of Motor Control INTERSPEECH 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization AAAI 2020
Decision trees as partitioning machines to characterize their generalization properties NIPS 2020
Exploiting Categorical Structure Using Tree-Based Methods AISTATS 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation ICML 2020
Learning Optimal Decision Trees Using Caching Branch-and-Bound Search AAAI 2020
Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost IJCAI 2020