Horizontal and Vertical Ensemble with Deep Representation for Classification

12 June 2013

Papers citing "Horizontal and Vertical Ensemble with Deep Representation for Classification"

32 / 32 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 91 1 0 25 Nov 2024
Towards a Systematic Approach to Design New Ensemble Learning Algorithms João Mendes-Moreira Tiago Mendes-Neves FedML 22 1 0 09 Feb 2024
Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs Uri Stern D. Weinshall CLL 29 0 0 17 Oct 2023
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties Yassir Fathullah Guoxuan Xia Mark Gales UQCV 35 2 0 17 May 2023
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble Jingchi Zhang Huanrui Yang Hai Helen Li 14 1 0 18 Jan 2023
Instability in clinical risk stratification models using deep learning D. Martinez A. Yakubovich Martin G. Seneviratne Á. Lelkes Akshit Tyagi ... N. L. Downing Ron C. Li Keith Morse N. Shah Ming-Jun Chen OOD 31 2 0 20 Nov 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 53 11 0 20 Oct 2022
Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting Grzegorz Dudek AI4TS 14 1 0 02 Mar 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks Tim Whitaker L. D. Whitley UQCV 21 23 0 23 Feb 2022
Learning Proximal Operators to Discover Multiple Optima Lingxiao Li Noam Aigerman Vladimir G. Kim Jiajin Li Kristjan Greenewald Mikhail Yurochkin Justin Solomon 47 1 0 28 Jan 2022
High-Dimensional Stock Portfolio Trading with Deep Reinforcement Learning Uta Pigorsch S. Schäfer AIFin 15 10 0 09 Dec 2021
Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method Wenda Qin Teruhisa Misu Derry Wijaya UQCV LM&Ro 27 5 0 28 Nov 2021
Sparse MoEs meet Efficient Ensembles J. Allingham F. Wenzel Zelda E. Mariet Basil Mustafa J. Puigcerver ... Balaji Lakshminarayanan Jasper Snoek Dustin Tran Carlos Riquelme Ruiz Rodolphe Jenatton MoE 46 21 0 07 Oct 2021
Boost Neural Networks by Checkpoints Feng Wang Gu-Yeon Wei Qiao Liu Jinxiang Ou Xian Wei Hairong Lv FedML UQCV 29 10 0 03 Oct 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zhangyang Wang Decebal Constantin Mocanu OOD 31 49 0 28 Jun 2021
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering Dongsheng Li Haodong Liu Chao Chen Yingying Zhao Stephen M. Chu Bo Yang FedML 33 5 0 15 Apr 2021
Efficient Model Performance Estimation via Feature Histories Shengcao Cao Xiaofang Wang Kris Kitani 20 1 0 07 Mar 2021
Twin Neural Network Regression S. J. Wetzel Kevin Ryczko R. Melko Isaac Tamblyn UQCV 28 11 0 29 Dec 2020
Feature Space Singularity for Out-of-Distribution Detection Haiwen Huang Zhihan Li Lulu Wang Sishuo Chen Bin Dong Xinyu Zhou OODD 22 65 0 30 Nov 2020
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models Lijing Wang Dipanjan Ghosh Maria Teresa Gonzalez Diaz Ahmed K. Farahat M. Alam Chetan Gupta Jiangzhuo Chen Madhav Marathe 20 9 0 13 Nov 2020
ARC-Net: Activity Recognition Through Capsules H. Damirchi Rooholla Khorrambakht H. Taghirad HAI 8 12 0 06 Jul 2020
ResKD: Residual-Guided Knowledge Distillation Xuewei Li Songyuan Li Bourahla Omar Fei Wu Xi Li 21 47 0 08 Jun 2020
Uncertainty Estimation in Deep 2D Echocardiography Segmentation Lavsen Dahal Aayush Kafle Bishesh Khanal UQCV 17 10 0 19 May 2020
CRYSPNet: Crystal Structure Predictions via Neural Network Haotong Liang V. Stanev A. Kusne Ichiro Takeuchi 19 37 0 31 Mar 2020
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling Jun Yang Fei Wang 20 32 0 25 Mar 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 32 483 0 17 Feb 2020
Data Diversification: A Simple Strategy For Neural Machine Translation Xuan-Phi Nguyen Chenyu You Wu Kui Ai Ti Aw 17 15 0 05 Nov 2019
MotherNets: Rapid Deep Ensemble Learning Abdul Wasay Brian Hentschel Yuze Liao Sanyuan Chen Stratos Idreos 14 35 0 12 Sep 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs T. Garipov Pavel Izmailov Dmitrii Podoprikhin Dmitry Vetrov A. Wilson UQCV 27 734 0 27 Feb 2018
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu J. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 47 935 0 01 Apr 2017
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches Xudong Liu Bin Xu Yuyu Zhang Qiang Yan Liang Pang Qiang Li Hanxiao Sun Bin Wang 36 5 0 29 Nov 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012