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ORCIDMartin Szummer
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- affiliation: Microsoft Research
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2020 – today
- 2020
[c34]Johannes Welbl, Po-Sen Huang, Robert Stanforth, Sven Gowal, Krishnamurthy (Dj) Dvijotham, Martin Szummer, Pushmeet Kohli:
Towards Verified Robustness under Text Deletion Interventions. ICLR 2020- [i3]Nan Rosemary Ke, Jane X. Wang, Jovana Mitrovic, Martin Szummer, Danilo J. Rezende:
Amortized learning of neural causal representations. CoRR abs/2008.09301 (2020) - [i2]Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng, Vishal Gupta, Peter Dolan, Harish Chandran, Martin Szummer:
Balance Regularized Neural Network Models for Causal Effect Estimation. CoRR abs/2011.11199 (2020)
2010 – 2019
- 2014
- [c33]Pirros Tsiakoulis, Catherine Breslin, Milica Gasic, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Steve J. Young:
Dialogue context sensitive HMM-based speech synthesis. ICASSP 2014: 2554-2558 - [c32]Milica Gasic, Dongho Kim, Pirros Tsiakoulis, Catherine Breslin, Matthew Henderson, Martin Szummer, Blaise Thomson, Steve J. Young:
Incremental on-line adaptation of POMDP-based dialogue managers to extended domains. INTERSPEECH 2014: 140-144 - [c31]Steve J. Young, Catherine Breslin, Milica Gasic, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Pirros Tsiakoulis, Eli Tzirkel-Hancock:
Evaluation of Statistical POMDP-Based Dialogue Systems in Noisy Environments. IWSDS 2014: 3-14 - [p1]Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon:
Classemes: A Compact Image Descriptor for Efficient Novel-Class Recognition and Search. Registration and Recognition in Images and Videos 2014: 95-111 - 2013
- [c30]Catherine Breslin, Milica Gasic, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Pirros Tsiakoulis, Steve J. Young:
Continuous asr for flexible incremental dialogue. ICASSP 2013: 8362-8366 - [c29]Milica Gasic, Catherine Breslin, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Pirros Tsiakoulis, Steve J. Young:
On-line policy optimisation of Bayesian spoken dialogue systems via human interaction. ICASSP 2013: 8367-8371 - [c28]Milica Gasic, Catherine Breslin, Matthew Henderson, Dongho Kim, Martin Szummer, Blaise Thomson, Pirros Tsiakoulis, Steve J. Young:
POMDP-based dialogue manager adaptation to extended domains. SIGDIAL Conference 2013: 214-222 - 2012
- [i1]Chen-Hsiang Yeang, Martin Szummer:
Markov Random Walk Representations with Continuous Distributions. CoRR abs/1212.2510 (2012) - 2011
- [c27]Martin Szummer, Emine Yilmaz:
Semi-supervised learning to rank with preference regularization. CIKM 2011: 269-278 - [c26]Chang Wang, Emine Yilmaz, Martin Szummer:
Relevance feedback exploiting query-specific document manifolds. CIKM 2011: 1957-1960 - [c25]Daniel Sheldon, Milad Shokouhi, Martin Szummer, Nick Craswell:
LambdaMerge: merging the results of query reformulations. WSDM 2011: 795-804 - 2010
- [c24]Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon:
Efficient Object Category Recognition Using Classemes. ECCV (1) 2010: 776-789 - [c23]Filip Radlinski, Martin Szummer, Nick Craswell:
Metrics for assessing sets of subtopics. SIGIR 2010: 853-854 - [c22]Filip Radlinski, Martin Szummer, Nick Craswell:
Inferring query intent from reformulations and clicks. WWW 2010: 1171-1172
2000 – 2009
- 2009
- [c21]Lorenzo Torresani, Martin Szummer, Andrew W. Fitzgibbon:
Learning query-dependent prefilters for scalable image retrieval. CVPR 2009: 2615-2622 - 2008
- [c20]Martin Szummer, Pushmeet Kohli, Derek Hoiem:
Learning CRFs Using Graph Cuts. ECCV (2) 2008: 582-595 - [c19]Marc'Aurelio Ranzato, Martin Szummer:
Semi-supervised learning of compact document representations with deep networks. ICML 2008: 792-799 - [c18]Martin Szummer, Nick Craswell:
Behavioral classification on the click graph. WWW 2008: 1241-1242 - 2007
- [c17]Carsten Rother, Vladimir Kolmogorov, Victor S. Lempitsky, Martin Szummer:
Optimizing Binary MRFs via Extended Roof Duality. CVPR 2007 - [c16]Nick Craswell, Martin Szummer:
Random walks on the click graph. SIGIR 2007: 239-246 - 2005
- [c15]Philip J. Cowans, Martin Szummer:
A Graphical Model for Simultaneous Partitioning and Labeling. AISTATS 2005: 73-80 - [c14]Yuan (Alan) Qi, Martin Szummer, Tom Minka:
Bayesian Conditional Random Fields. AISTATS 2005: 269-276 - [c13]Yuan (Alan) Qi, Martin Szummer, Thomas P. Minka:
Diagram Structure Recognition by Bayesian Conditional Random Fields. CVPR (2) 2005: 191-196 - [c12]Martin Szummer:
Learning Diagram Parts with Hidden Random Fields. ICDAR 2005: 1188-1193 - 2004
- [c11]Martin Szummer, Phillip Cowans:
Incorporating Context and User Feedback in Pen-Based Interfaces. AAAI Technical Report (6) 2004: 159- - [c10]Balaji Krishnapuram, Christopher M. Bishop, Martin Szummer:
Generative models and Bayesian model comparison for shape recognition. IWFHR 2004: 20-25 - [c9]Martin Szummer, Yuan (Alan) Qi:
Contextual recognition of hand-drawn diagrams with conditional random fields. IWFHR 2004: 32-37 - 2003
- [c8]Chen-Hsiang Yeang, Martin Szummer:
Markov Random Walk Representations with Continuous Distributions. UAI 2003: 600-607 - 2002
- [c7]Martin Szummer, Tommi S. Jaakkola:
Information Regularization with Partially Labeled Data. NIPS 2002: 1025-1032 - 2001
- [c6]Martin Szummer, Tommi S. Jaakkola:
Partially labeled classification with Markov random walks. NIPS 2001: 945-952 - 2000
- [c5]Martin Szummer, Tommi S. Jaakkola:
Kernel Expansions with Unlabeled Examples. NIPS 2000: 626-632
1990 – 1999
- 1998
- [c4]Wolfgang Sörgel, Sabine Girod, Martin Szummer, Bernd Girod:
Computer aided diagnosis of bone lesions in the facial skeleton. Bildverarbeitung für die Medizin 1998 - [c3]Martin Szummer, Rosalind W. Picard:
Indoor-Outdoor Image Classification. CAIVD 1998: 42-51 - 1996
- [c2]Rosalind W. Picard, Thomas P. Minka, Martin Szummer:
Modeling user subjectivity in image libraries. ICIP (2) 1996: 777-780 - [c1]Martin Szummer, Rosalind W. Picard:
Temporal texture modeling. ICIP (3) 1996: 823-826
Coauthor Index
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