v1v2 (latest)

The Tree Ensemble Layer: Differentiability meets Conditional Computation

18 February 2020

Papers citing "The Tree Ensemble Layer: Differentiability meets Conditional Computation"

50 / 55 papers shown

Title
Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL Renat Sergazinov Jing Wu Shao-An Yin AAML LMTD 61 0 0 03 Jun 2025
dnamite: A Python Package for Neural Additive Models Mike Van Ness Madeleine Udell 53 0 0 06 Mar 2025
Linear Mode Connectivity in Differentiable Tree Ensembles Ryuichi Kanoh M. Sugiyama 234 1 0 17 Feb 2025
Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams Kirsten Köbschall Lisa Hartung Stefan Kramer 24 0 0 07 Nov 2024
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering A. Habib Kesheng Wang Mary-Anne Hartley Gianfranco Doretto Donald Adjeroh LMTD 132 1 0 17 Oct 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features Gleb Bazhenov Oleg Platonov Liudmila Prokhorenkova LMTD 67 1 0 22 Sep 2024
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification Ben Dai UQCV 91 0 0 02 Sep 2024
Vanilla Gradient Descent for Oblique Decision Trees Subrat Prasad Panda B. Genest Arvind Easwaran Ponnuthurai Nagaratnam Suganthan OffRL 132 1 0 17 Aug 2024
Predicting Probabilities of Error to Combine Quantization and Early Exiting: QuEE Florence Regol Joud Chataoui Bertrand Charpentier Mark Coates Pablo Piantanida Stephan Gunnemann 92 0 0 20 Jun 2024
Mixture of In-Context Prompters for Tabular PFNs Derek Xu Olcay Cirit Reza Asadi Yizhou Sun Wei Wang 107 15 0 25 May 2024
Data Science Principles for Interpretable and Explainable AI Kris Sankaran FaML 114 1 0 17 May 2024
Interpretable Prediction and Feature Selection for Survival Analysis Mike Van Ness Madeleine Udell 92 2 0 23 Apr 2024
Multimodal Clinical Trial Outcome Prediction with Large Language Models Wenhao Zheng Dongsheng Peng Hongxia Xu Yun Li Hongtu Zhu Tianfan Fu Huaxiu Yao Huaxiu Yao 230 5 0 09 Feb 2024
Comparative Analysis of Transformers for Modeling Tabular Data: A Casestudy using Industry Scale Dataset Usneek Singh Piyush Arora Shamika Ganesan Mohit Kumar Siddhant Kulkarni Salil R. Joshi 102 2 0 24 Nov 2023
Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer Aditya Sreekar Berrin Yanıko˘glu Varun Madhavan Abhishek Persad 21 0 0 20 Nov 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning Valeriia Cherepanova Roman Levin Gowthami Somepalli Jonas Geiping C. Bayan Bruss Andrew Gordon Wilson Tom Goldstein Micah Goldblum 64 20 0 10 Nov 2023
End-to-end Feature Selection Approach for Learning Skinny Trees Shibal Ibrahim Kayhan Behdin Rahul Mazumder 550 0 0 28 Oct 2023
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt LMTD 62 6 0 29 Sep 2023
Computation-efficient Deep Learning for Computer Vision: A Survey Yulin Wang Yizeng Han Chaofei Wang Shiji Song Qi Tian Gao Huang VLM 132 21 0 27 Aug 2023
Homological Convolutional Neural Networks Antonio Briola Yuanrong Wang Silvia Bartolucci T. Aste LMTD 82 7 0 26 Aug 2023
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023 Yu. V. Gorishniy Ivan Rubachev Nikolay Kartashev Daniil Shlenskii Akim Kotelnikov Artem Babenko OOD LMTD 89 15 0 26 Jul 2023
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback? Akansha Kalra Daniel S. Brown 108 0 0 22 Jun 2023
$Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph$ Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph Camilo Ruiz Hongyu Ren Kexin Huang J. Leskovec 71 2 0 07 Jun 2023
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search Shibal Ibrahim Wenyu Chen Hussein Hazimeh Natalia Ponomareva Zhe Zhao Rahul Mazumder MoE 414 3 0 05 Jun 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 156 183 0 01 Mar 2023
Multiple Instance Learning with Trainable Decision Tree Ensembles A. Konstantinov Lev V. Utkin 53 0 0 13 Feb 2023
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu Benlin Liu Jian Wu 93 39 0 30 Nov 2022
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data Andrei Margeloiu Nikola Simidjievski Pietro Lio M. Jamnik 76 12 0 28 Nov 2022
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu Nikola Simidjievski Pietro Lio M. Jamnik DD AI4CE 57 5 0 11 Nov 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 243 7 0 15 Sep 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 58 47 0 07 Jul 2022
DecisioNet: A Binary-Tree Structured Neural Network Noam Gottlieb M. Werman MQ 33 1 0 03 Jul 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 141 64 0 30 Jun 2022
Switchable Representation Learning Framework with Self-compatibility Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling-yu Duan 113 1 0 16 Jun 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks Tuan Dinh Yuchen Zeng Ruisu Zhang Ziqian Lin Michael Gira Shashank Rajput Jy-yong Sohn Dimitris Papailiopoulos Kangwook Lee LMTD 178 139 0 14 Jun 2022
Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel Ryuichi Kanoh M. Sugiyama 146 2 0 25 May 2022
Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles Shibal Ibrahim Hussein Hazimeh Rahul Mazumder 423 4 0 19 May 2022
A Hybrid Framework for Sequential Data Prediction with End-to-End Optimization M. Aydın Suleyman S. Kozat BDL 59 5 0 25 Mar 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 115 181 0 10 Mar 2022
Tree in Tree: from Decision Trees to Decision Graphs Bingzhao Zhu Mahsa Shoaran PINN 39 3 0 01 Oct 2021
Learning Multi-Layered GBDT Via Back Propagation Zhendong Zhang AI4CE 47 0 0 24 Sep 2021
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles Ryuichi Kanoh M. Sugiyama 49 7 0 10 Sep 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 140 782 0 22 Jun 2021
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning Hussein Hazimeh Zhe Zhao Aakanksha Chowdhery M. Sathiamoorthy Yihua Chen Rahul Mazumder Lichan Hong Ed H. Chi MoE 189 145 0 07 Jun 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 193 1,304 0 06 Jun 2021
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning Benjamin Minixhofer Milan Gritta Ignacio Iacobacci AI4CE 21 5 0 08 May 2021
Interpretable Mixture Density Estimation by use of Differentiable Tree-module Ryuichi Kanoh Tomu Yanabe 34 0 0 08 May 2021
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent Ajaykrishna Karthikeyan Naman Jain Nagarajan Natarajan Prateek Jain MQ 37 13 0 15 Feb 2021
Dynamic Neural Networks: A Survey Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang 3DH AI4TS AI4CE 148 659 0 09 Feb 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 100 54 0 21 Jan 2021