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A submodular-supermodular procedure with applications to discriminative
  structure learning

A submodular-supermodular procedure with applications to discriminative structure learning

4 July 2012
Mukund Narasimhan
J. Bilmes
ArXiv (abs)PDFHTML

Papers citing "A submodular-supermodular procedure with applications to discriminative structure learning"

27 / 27 papers shown
Title
Discrete and Continuous Difference of Submodular Minimization
Discrete and Continuous Difference of Submodular Minimization
George Orfanides
Tim Hoheisel
Marwa El Halabi
21
0
0
09 Jun 2025
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
117
31
0
21 Dec 2022
Learning Interpretable Decision Rule Sets: A Submodular Optimization
  Approach
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
Fan Yang
Kai He
Linxiao Yang
Hongxia Du
Jingbang Yang
Bo Yang
Liangcheng Sun
49
21
0
08 Jun 2022
$k\texttt{-experts}$ -- Online Policies and Fundamental Limits
k-expertsk\texttt{-experts}k-experts -- Online Policies and Fundamental Limits
S. Mukhopadhyay
Sourav Sahoo
Abhishek Sinha
OffRL
66
8
0
15 Oct 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim
Wonho Choo
Hosan Jeong
Hyun Oh Song
273
183
0
05 Feb 2021
PHASED: Phase-Aware Submodularity-Based Energy Disaggregation
PHASED: Phase-Aware Submodularity-Based Energy Disaggregation
Faisal M. Almutairi
Aritra Konar
Ahmed S. Zamzam
N. Sidiropoulos
29
0
0
01 Oct 2020
Laplacian Regularized Few-Shot Learning
Laplacian Regularized Few-Shot Learning
Imtiaz Masud Ziko
Jose Dolz
Eric Granger
Ismail Ben Ayed
82
176
0
28 Jun 2020
A unifying mutual information view of metric learning: cross-entropy vs.
  pairwise losses
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf
Jérôme Rony
Imtiaz Masud Ziko
Eric Granger
M. Pedersoli
Pablo Piantanida
Ismail Ben Ayed
SSL
112
160
0
19 Mar 2020
Variational Fair Clustering
Variational Fair Clustering
Imtiaz Masud Ziko
Eric Granger
Jing Yuan
Ismail Ben Ayed
93
13
0
19 Jun 2019
A Unified Framework of Constrained Robust Submodular Optimization with
  Applications
A Unified Framework of Constrained Robust Submodular Optimization with Applications
Rishabh K. Iyer
68
9
0
14 Jun 2019
Batched Stochastic Bayesian Optimization via Combinatorial Constraints
  Design
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design
Kevin Kaichuang Yang
Yuxin Chen
Alycia Lee
Yisong Yue
65
17
0
17 Apr 2019
Deep clustering: On the link between discriminative models and K-means
Deep clustering: On the link between discriminative models and K-means
Mohammed Jabi
M. Pedersoli
A. Mitiche
Ismail Ben Ayed
81
109
0
09 Oct 2018
Query-adaptive Video Summarization via Quality-aware Relevance
  Estimation
Query-adaptive Video Summarization via Quality-aware Relevance Estimation
A. Vasudevan
Michael Gygli
Anna Volokitin
Luc Van Gool
111
93
0
01 May 2017
Guarantees for Greedy Maximization of Non-submodular Functions with
  Applications
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
Yatao Bian
J. M. Buhmann
Andreas Krause
Sebastian Tschiatschek
129
237
0
06 Mar 2017
Deep Submodular Functions
Deep Submodular Functions
J. Bilmes
Wenruo Bai
83
45
0
31 Jan 2017
Solving Dense Image Matching in Real-Time using Discrete-Continuous
  Optimization
Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization
Alexander Shekhovtsov
Christian Reinbacher
Gottfried Graber
Thomas Pock
3DH
75
23
0
23 Jan 2016
Kernel Cuts: MRF meets Kernel & Spectral Clustering
Kernel Cuts: MRF meets Kernel & Spectral Clustering
Meng Tang
D. Marin
Ismail Ben Ayed
Yuri Boykov
66
7
0
24 Jun 2015
Algorithms for Approximate Minimization of the Difference Between
  Submodular Functions, with Applications
Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications
Rishabh K. Iyer
J. Bilmes
87
157
0
09 Aug 2014
Submodular Optimization with Submodular Cover and Submodular Knapsack
  Constraints
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh K. Iyer
J. Bilmes
135
260
0
08 Nov 2013
Submodularization for Quadratic Pseudo-Boolean Optimization
Submodularization for Quadratic Pseudo-Boolean Optimization
Lena Gorelick
Yuri Boykov
O. Veksler
Ismail Ben Ayed
Andrew Delong
36
3
0
08 Nov 2013
Maximizing submodular functions using probabilistic graphical models
Maximizing submodular functions using probabilistic graphical models
K. S. S. Kumar
Francis R. Bach
44
3
0
10 Sep 2013
Fast Semidifferential-based Submodular Function Optimization
Fast Semidifferential-based Submodular Function Optimization
Rishabh K. Iyer
Stefanie Jegelka
J. Bilmes
141
109
0
05 Aug 2013
Discovering the Markov network structure
Discovering the Markov network structure
E. Kovács
T. Szántai
54
1
0
02 Jul 2013
Learning Mixtures of Submodular Shells with Application to Document
  Summarization
Learning Mixtures of Submodular Shells with Application to Document Summarization
Hui-Ching Lin
J. Bilmes
114
192
0
16 Oct 2012
Learning with Submodular Functions: A Convex Optimization Perspective
Learning with Submodular Functions: A Convex Optimization Perspective
Francis R. Bach
181
479
0
28 Nov 2011
Efficient Minimization of Higher Order Submodular Functions using
  Monotonic Boolean Functions
Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions
Srikumar Ramalingam
Chris Russell
Lubor Ladicky
Philip Torr
110
22
0
11 Sep 2011
Submodular Optimization for Efficient Semi-supervised Support Vector
  Machines
Submodular Optimization for Efficient Semi-supervised Support Vector Machines
Wael Emara
M. Kantardzic
54
0
0
26 Jul 2011
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