Co-occurring keywords · papers mentioning both
Papers
TabR: Tabular Deep Learning Meets Nearest Neighbors
ICLR 2024
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
JMLR 2023
FairGBM: Gradient Boosting with Fairness Constraints
ICLR 2023
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming
ICML 2023
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
ACL 2023
Transfer Learning with Deep Tabular Models
ICLR 2023
Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer
ACML 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
NeurIPS 2023
Which Tricks are Important for Learning to Rank?
ICML 2023
On Embeddings for Numerical Features in Tabular Deep Learning
NeurIPS 2022
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems
NeurIPS 2022
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
ICLR 2021
Revisiting Deep Learning Models for Tabular Data
NeurIPS 2021
Well-tuned Simple Nets Excel on Tabular Datasets
NeurIPS 2021
Abstract Interpretation of Decision Tree Ensemble Classifiers
AAAI 2020
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems
NAACL 2019
Robustness Verification of Tree-based Models
NeurIPS 2019
Finding Influential Training Samples for Gradient Boosted Decision Trees
ICML 2018
Modeling Second-Language Learning from a Psychological Perspective
NAACL 2018
Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning
ICML 2016