Diversity in Machine Learning

4 July 2018

Papers citing "Diversity in Machine Learning"

34 / 34 papers shown

Title
MUSS: Multilevel Subset Selection for Relevance and Diversity Vu Nguyen Andrey Kan 82 0 0 14 Mar 2025
An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation Z. Gong P. Zhong Weidong Hu Fang Liu Bingwei Hui SSL 3DPC 47 1 0 18 Mar 2019
Fast determinantal point processes via distortion-free intermediate sampling Michal Derezinski 58 40 0 08 Nov 2018
Improving Sequential Determinantal Point Processes for Supervised Video Summarization Aidean Sharghi Ali Borji Chengtao Li Tianbao Yang Boqing Gong AI4TS 55 47 0 28 Jul 2018
Active Mini-Batch Sampling using Repulsive Point Processes Cheng Zhang Cengiz Öztireli Stephan Mandt G. Salvi 30 36 0 08 Apr 2018
Tagging like Humans: Diverse and Distinct Image Annotation Baoyuan Wu Weidong Chen Peng Sun Wen Liu Guohao Li Siwei Lyu VLM 50 47 0 31 Mar 2018
Diversity-Promoting Bayesian Learning of Latent Variable Models P. Xie Jun Zhu Eric Xing 52 33 0 23 Nov 2017
Learning Detection with Diverse Proposals S. Azadi Jiashi Feng Trevor Darrell 45 22 0 11 Apr 2017
Diversified Texture Synthesis with Feed-forward Networks Yijun Li Chen Fang Jimei Yang Zhaowen Wang Xin Lu Ming-Hsuan Yang 40 268 0 05 Mar 2017
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles Stefan Lee Senthil Purushwalkam Michael Cogswell Viresh Ranjan David J. Crandall Dhruv Batra BDL UQCV OOD 63 178 0 24 Jun 2016
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization Alexander Kirillov Alexander Shekhovtsov Carsten Rother Bogdan Savchynskyy 29 12 0 22 Jun 2016
An ensemble diversity approach to supervised binary hashing M. A. Carreira-Perpiñán Ramin Raziperchikolaei 19 22 0 04 Feb 2016
Mutual Information and Diverse Decoding Improve Neural Machine Translation Jiwei Li Dan Jurafsky 60 120 0 04 Jan 2016
Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization P. Xie Yuntian Deng Eric Xing DRL 49 9 0 23 Dec 2015
On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization P. Xie Yuntian Deng Eric Xing 85 28 0 23 Nov 2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks Stefan Lee Senthil Purushwalkam Michael Cogswell David J. Crandall Dhruv Batra FedML UQCV 86 316 0 19 Nov 2015
Fixed-point algorithms for learning determinantal point processes Zelda E. Mariet S. Sra 61 53 0 04 Aug 2015
Inference for determinantal point processes without spectral knowledge Rémi Bardenet Michalis K. Titsias 47 24 0 04 Jul 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving Chenyi Chen Ari Seff A. Kornhauser Jianxiong Xiao 99 1,762 0 01 May 2015
Block-Wise MAP Inference for Determinantal Point Processes with Application to Change-Point Detection Martin Jinye Zhang Zhijian Ou 38 9 0 20 Mar 2015
Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning Christian Wachinger Polina Golland 51 16 0 11 Mar 2015
Automatic Discovery and Optimization of Parts for Image Classification S. N. Parizi Andrea Vedaldi Andrew Zisserman Pedro F. Felzenszwalb OCL 53 59 0 20 Dec 2014
End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression Li Wan David Eigen Rob Fergus 76 99 0 19 Nov 2014
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets Adarsh Prasad Stefanie Jegelka Dhruv Batra 45 68 0 06 Nov 2014
Expectation-Maximization for Learning Determinantal Point Processes Jennifer Gillenwater Alex Kulesza E. Fox B. Taskar 67 100 0 04 Nov 2014
Maximizing Diversity for Multimodal Optimization F. O. França 53 1 0 10 Jun 2014
Learning to Diversify via Weighted Kernels for Classifier Ensemble Xu-Cheng Yin Chun Yang Hongwei Hao 46 13 0 04 Jun 2014
Learning the Parameters of Determinantal Point Process Kernels Raja Hafiz Affandi E. Fox Ryan P. Adams B. Taskar 71 97 0 20 Feb 2014
Markov Determinantal Point Processes Raja Hafiz Affandi Alex Kulesza E. Fox 73 43 0 16 Oct 2012
Determinantal point processes for machine learning Alex Kulesza B. Taskar 235 1,134 0 25 Jul 2012
Determinantal point process models and statistical inference : Extended version F. Lavancier Jesper Møller E. Rubak 72 239 0 22 May 2012
Exploiting Unlabeled Data to Enhance Ensemble Diversity Min-Ling Zhang Zhi Zhou FedML 76 75 0 19 Sep 2009
Maximum Entropy Discrimination Markov Networks Jun Zhu Eric Xing OOD 64 61 0 18 Jan 2009
The use of entropy to measure structural diversity L. Masisi F. Nelwamondo T. Marwala 82 59 0 20 Oct 2008