Multi-Label Prediction via Compressed Sensing

8 February 2009

Tong Zhang

Papers citing "Multi-Label Prediction via Compressed Sensing"

46 / 46 papers shown

Title
Label Embedding via Low-Coherence Matrices Jianxin Zhang Clayton Scott 24 0 0 31 May 2023
Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification Dayong Tian Fei Li Yiwen Wei 40 0 0 21 Feb 2023
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems L. Iosipoi Anton Vakhrushev 33 7 0 23 Nov 2022
GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classification Qing Wang Jia Zhu Hongji Shu K. Asamoah J. Shi Cong Zhou 36 4 0 10 Jan 2022
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph Jiuding Yang Weidong Guo Bang Liu Yu Chaoyue Wang Jinwen Luo Linglong Kong Di Niu Zhen Wen 3DV 19 0 0 13 Oct 2021
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems Jayadev Naram Tanmay Sinha Pawan Kumar 46 1 0 30 Sep 2021
Fast Multi-label Learning Xiuwen Gong Dong Yuan Wei Bao 24 3 0 31 Aug 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 41 275 0 29 Jun 2021
Multi-Label Learning from Single Positive Labels Elijah Cole Oisin Mac Aodha Titouan Lorieul Pietro Perona Dan Morris Nebojsa Jojic 25 108 0 17 Jun 2021
Session-Aware Query Auto-completion using Extreme Multi-label Ranking Nishant Yadav Rajat Sen Daniel N. Hill A. Mazumdar Inderjit S. Dhillon 22 10 0 09 Dec 2020
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 43 252 0 23 Nov 2020
Unbiased Loss Functions for Extreme Classification With Missing Labels Erik Schultheis Mohammadreza Qaraei Priyanshu Gupta Rohit Babbar 18 6 0 01 Jul 2020
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design Mayoore S. Jaiswal Bumboo Kang Jinho Lee Minsik Cho 21 2 0 15 Oct 2019
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings Gregor Wiedemann Steffen Remus Avi Chawla Chris Biemann 27 174 0 23 Sep 2019
LdSM: Logarithm-depth Streaming Multi-label Decision Trees Maryam Majzoubi A. Choromańska 24 11 0 24 May 2019
Gradient tree boosting with random output projections for multi-label classification and multi-output regression Arnaud Joly L. Wehenkel Pierre Geurts 14 6 0 18 May 2019
Taming Pretrained Transformers for Extreme Multi-label Text Classification Wei-Cheng Chang Hsiang-Fu Yu Kai Zhong Yiming Yang Inderjit Dhillon 27 20 0 07 May 2019
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification Qiang Li Bo Xie J. You Wei Bian Dacheng Tao 31 22 0 17 Apr 2019
Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection Yao Xue G. Bigras J. Hugh Nilanjan Ray 21 24 0 07 Oct 2018
Beyond One-hot Encoding: lower dimensional target embedding Pau Rodríguez López Miguel Angel Bautista Jordi Gonzalez Sergio Escalera 14 335 0 28 Jun 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition Xiangyu Zhu Hao Liu Zhen Lei Hailin Shi Fan Yang Dong Yi Guojun Qi Stan Z. Li CVBM 32 47 0 08 Jun 2018
Similarity-based Multi-label Learning Ryan A. Rossi Nesreen Ahmed Hoda Eldardiry R. Zhou 18 9 0 27 Oct 2017
Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing Yao Xue Nilanjan Ray 27 22 0 10 Aug 2017
Exploiting random projections and sparsity with random forests and gradient boosting methods -- Application to multi-label and multi-output learning, random forest model compression and leveraging input sparsity Arnaud Joly 30 10 0 26 Apr 2017
RIPML: A Restricted Isometry Property based Approach to Multilabel Learning Akshay Soni Yashar Mehdad 17 2 0 16 Feb 2017
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification Bikash Joshi Massih-Reza Amini Ioannis Partalas F. Iutzeler Yury Maximov MQ 25 16 0 23 Jan 2017
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation Yacine Jernite A. Choromańska David Sontag 25 35 0 14 Oct 2016
Towards Label Imbalance in Multi-label Classification with Many Labels Li Li Houfeng Wang 7 14 0 05 Apr 2016
Cost-Sensitive Label Embedding for Multi-Label Classification Kuan-Hao Huang Hsuan-Tien Lin 16 56 0 30 Mar 2016
Recommender systems inspired by the structure of quantum theory Cyril J. Stark 31 6 0 22 Jan 2016
Structured Prediction Energy Networks David Belanger Andrew McCallum GNN 18 219 0 19 Nov 2015
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan Purushottam Kar Prateek Jain 24 45 0 26 May 2015
Fast Label Embeddings for Extremely Large Output Spaces Paul Mineiro Nikos Karampatziakis 32 29 0 30 Mar 2015
Label-Embedding for Image Classification Zeynep Akata Florent Perronnin Zaïd Harchaoui Cordelia Schmid VLM 24 773 0 30 Mar 2015
Learning Reductions that Really Work A. Beygelzimer Hal Daumé John Langford Paul Mineiro AI4CE 39 24 0 09 Feb 2015
Local Rademacher Complexity for Multi-label Learning Chang Xu Tongliang Liu Dacheng Tao Chao Xu 39 81 0 26 Oct 2014
Logarithmic Time Online Multiclass prediction A. Choromańska John Langford 57 78 0 06 Jun 2014
Multi-Target Regression via Random Linear Target Combinations Grigorios Tsoumakas Eleftherios Spyromitros Xioufis Aikaterini Vrekou I. Vlahavas 37 78 0 20 Apr 2014
Large-scale Multi-label Learning with Missing Labels Hsiang-Fu Yu Prateek Jain Purushottam Kar Inderjit S. Dhillon MQ 44 491 0 18 Jul 2013
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics Yunchao Gong Qifa Ke Michael Isard Svetlana Lazebnik 3DV 76 584 0 18 Dec 2012
On Multilabel Classification and Ranking with Partial Feedback Claudio Gentile Francesco Orabona 51 17 0 30 Jun 2012
The Landmark Selection Method for Multiple Output Prediction Krishnakumar Balasubramanian Guy Lebanon 45 95 0 27 Jun 2012
Maximum Margin Output Coding Yi Zhang J. Schneider 44 74 0 27 Jun 2012
ShareBoost: Efficient Multiclass Learning with Feature Sharing Shai Shalev-Shwartz Y. Wexler Amnon Shashua 51 16 0 05 Sep 2011
Orthogonal Matching Pursuit with Replacement Prateek Jain Ambuj Tewari Inderjit S. Dhillon 47 79 0 14 Jun 2011
Multi-label Learning via Structured Decomposition and Group Sparsity Dinesh Manocha Dacheng Tao 52 2 0 01 Mar 2011