Learning Mixtures of Submodular Shells with Application to Document Summarization

16 October 2012

Papers citing "Learning Mixtures of Submodular Shells with Application to Document Summarization"

28 / 78 papers shown

Title
Learning Instance-Aware Object Detection Using Determinantal Point Processes Nuri Kim Donghoon Lee Songhwai Oh 29 4 0 28 May 2018
Differentiable Submodular Maximization Sebastian Tschiatschek Aytunc Sahin Andreas Krause 68 45 0 05 Mar 2018
Learning Determinantal Point Processes by Corrective Negative Sampling Zelda E. Mariet Mike Gartrell S. Sra 56 3 0 15 Feb 2018
Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data Parth Mehta Gaurav Arora Prasenjit Majumder 15 6 0 13 Feb 2018
Fair and Diverse DPP-based Data Summarization L. E. Celis Vijay Keswani D. Straszak Amit Deshpande Tarun Kathuria Nisheeth K. Vishnoi 85 122 0 12 Feb 2018
Content based Weighted Consensus Summarization Parth Mehta Prasenjit Majumder 16 5 0 03 Feb 2018
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings Mladen Dimovski C. Musat V. Ilievski Andreea Hossmann Michael Baeriswyl 43 12 0 02 Feb 2018
Rates of estimation for determinantal point processes Victor-Emmanuel Brunel Ankur Moitra Philippe Rigollet John C. Urschel 83 16 0 03 Jun 2017
Query-adaptive Video Summarization via Quality-aware Relevance Estimation A. Vasudevan Michael Gygli Anna Volokitin Luc Van Gool 111 93 0 01 May 2017
A Unified Multi-Faceted Video Summarization System Anurag Sahoo Vishal Kaushal Khoshrav Doctor Suyash Shetty Rishabh K. Iyer Ganesh Ramakrishnan CVBM 64 6 0 04 Apr 2017
Leveraging Sparsity for Efficient Submodular Data Summarization Erik M. Lindgren Shanshan Wu A. Dimakis 61 25 0 08 Mar 2017
Learning Determinantal Point Processes with Moments and Cycles John C. Urschel Victor-Emmanuel Brunel Ankur Moitra Philippe Rigollet 56 29 0 01 Mar 2017
Deep Submodular Functions J. Bilmes Wenruo Bai 83 45 0 31 Jan 2017
Maximum likelihood estimation of determinantal point processes Victor-Emmanuel Brunel Ankur Moitra Philippe Rigollet John C. Urschel 39 11 0 23 Jan 2017
Enumeration of Extractive Oracle Summaries Tsutomu Hirao Masaaki Nishino Jun Suzuki Masaaki Nagata 33 14 0 06 Jan 2017
How to be Fair and Diverse? L. E. Celis Amit Deshpande Tarun Kathuria Nisheeth K. Vishnoi FaML 97 80 0 23 Oct 2016
On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes Tarun Kathuria Amit Deshpande 63 17 0 06 Jul 2016
Kronecker Determinantal Point Processes Zelda E. Mariet S. Sra 59 31 0 26 May 2016
Exploiting Out-of-Domain Data Sources for Dialectal Arabic Statistical Machine Translation Katrin Kirchhoff B. Zhao Wen Wang 10 1 0 07 Sep 2015
Fixed-point algorithms for learning determinantal point processes Zelda E. Mariet S. Sra 97 53 0 04 Aug 2015
Abstractive Multi-Document Summarization via Phrase Selection and Merging Lidong Bing Piji Li Yi Liao Wai Lam Weiwei Guo R. Passonneau 97 144 0 04 Jun 2015
Expectation-Maximization for Learning Determinantal Point Processes Jennifer Gillenwater Alex Kulesza E. Fox B. Taskar 92 100 0 04 Nov 2014
Graph Cuts with Interacting Edge Costs - Examples, Approximations, and Algorithms Stefanie Jegelka J. Bilmes 81 11 0 02 Feb 2014
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure H. Koepke M. Meilă 147 0 0 06 Dec 2013
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions Rishabh K. Iyer Stefanie Jegelka J. Bilmes 116 113 0 08 Nov 2013
Structured learning of sum-of-submodular higher order energy functions Alexander Fix Thorsten Joachims Sung Min Park Ramin Zabih 83 22 0 28 Sep 2013
Learning Policies for Contextual Submodular Prediction Stéphane Ross Jiaji Zhou Yisong Yue Debadeepta Dey J. Andrew Bagnell OffRL 59 34 0 11 May 2013
Determinantal point processes for machine learning Alex Kulesza B. Taskar 274 1,141 0 25 Jul 2012