The Tree Ensemble Layer: Differentiability meets Conditional Computation

18 February 2020

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

22 / 22 papers shown

Title
Linear Mode Connectivity in Differentiable Tree Ensembles Ryuichi Kanoh M. Sugiyama 178 1 0 17 Feb 2025
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 143 5 0 09 Feb 2024
End-to-end Feature Selection Approach for Learning Skinny Trees Shibal Ibrahim Kayhan Behdin Rahul Mazumder 417 0 0 28 Oct 2023
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 165 6 0 15 Sep 2022
Learning Hierarchical Interactions at Scale: A Convex Optimization Approach Hussein Hazimeh Rahul Mazumder 165 19 0 05 Feb 2019
Adaptive Neural Trees Ryutaro Tanno Kai Arulkumaran Daniel C. Alexander A. Criminisi A. Nori 329 166 0 17 Jul 2018
Distilling a Neural Network Into a Soft Decision Tree Nicholas Frosst Geoffrey E. Hinton 349 636 0 27 Nov 2017
Compact Multi-Class Boosted Trees Natalia Ponomareva Thomas Colthurst Gilbert Hendry Salem Haykal Soroush Radpour 116 20 0 31 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 250 8,856 0 25 Aug 2017
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison Randal S. Olson William La Cava Patryk Orzechowski Ryan J. Urbanowicz J. Moore 345 378 0 01 Mar 2017
Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees Daniel Zoran Balaji Lakshminarayanan Charles Blundell 231 16 0 28 Feb 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 229 2,635 0 23 Jan 2017
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation Yacine Jernite A. Choromańska David Sontag 127 36 0 14 Oct 2016
Neural Random Forests Gérard Biau Erwan Scornet Johannes Welbl UQCV BDL 121 113 0 25 Apr 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 647 38,735 0 09 Mar 2016
Decision Forests, Convolutional Networks and the Models in-Between Yani Andrew Ioannou D. Robertson Darko Zikic Peter Kontschieder Jamie Shotton Matthew Brown A. Criminisi 119 88 0 03 Mar 2016
Conditional Computation in Neural Networks for faster models Emmanuel Bengio Pierre-Luc Bacon Joelle Pineau Doina Precup AI4CE 135 320 0 19 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 426 43,234 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 284 18,587 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 228 12,422 0 24 Jun 2012
Learning Nonlinear Functions Using Regularized Greedy Forest Rie Johnson Tong Zhang 154 159 0 05 Sep 2011