Citations in BibTeX format

Publications in learning deep networks

• Marc'Aurelio Ranzato, Martin Szummer. Semi-supervised Learning of Compact Document Representations with Deep Networks July 2008. Proc. Intl. Conf. on Machine Learning (ICML) 2008 792-799

Publications in spoken dialog systems

• M. Szummer, M. Henderson, C. Breslin, M. Gašić, D. Kim, B. Thomson, P. Tsiakoulis, S. Young. The BUDS POMDP Dialogue System Advances in Neural Information Processing Systems (NIPS) Demo 2012.
• M. Gašić, C. Breslin, M. Henderson, D. Kim, M. Szummer, B. Thomson, P. Tsiakoulis, S. Young. POMDP-based dialogue manager adaptation to extended domains SIGDIAL 2013 Best Paper Award.
• M. Gašić, D. Kim, P. Tsiakoulis, C. Breslin, M. Henderson, M. Szummer, B. Thomson, S. Young. Incremental on-line adaptation of POMDP-based dialogue managers to extended domains, 2014, Interspeech.
• P. Tsiakoulis, C. Breslin, M. Gašić, M. Henderson D. Kim, M. Szummer, B. Thomson, S. Young. Dialogue Context Sensitive HMM-Based Speech Synthesis ICASSP 2014
• M. Gašić, C. Breslin, M. Henderson, D. Kim, M. Szummer, B. Thomson, P. Tsiakoulis and S. Young. On-line policy optimisation of Bayesian spoken dialogue systems via human interaction, ICASSP 2013
• S. Young, C. Breslin, M. Gašić, M. Henderson, D. Kim, M. Szummer, B. Thomson, P. Tsiakoulis and E. Tzirkel Hancock. Evaluation of Statistical POMDP-based Dialogue Systems in Noisy Environments. International Workshop Spoken Dialogue Systems (IWSDS) 2014
• C. Breslin, M. Gašić, M. Henderson, D. Kim, M. Szummer, B. Thomson, P. Tsiakoulis, K. Yu and S. Young. Continuous ASR for Flexible Incremental Dialogue Intl. Conf. Acoustics Speech and Signal Processing (ICASSP).

Publications in information retrieval

• Martin Szummer, Emine Yilmaz Semi-supervised Learning to Rank with Preference Regularization October 2011. Conf. Information and Knowledge Management (CIKM) Poster
• Chang Wang, Emine Yilmaz, Martin Szummer Relevance Feedback Exploiting Query-Specific Document Manifolds October 2011. Conf. Information and Knowledge Management (CIKM)
• Daniel Sheldon, Milad Shokouhi, Martin Szummer, Nick Craswell LambdaMerge: Merging the Results of Query Reformulations February 2011. Web Search and Data Mining (WSDM) Poster
• Lorenzo Torresani, Martin Szummer, Andrew Fitzgibbon. Efficient Object Category Recognition using Classemes September 2010. European Conference on Computer Vision (ECCV)
• Filip Radlinski, Martin Szummer, Nick Craswell. Metrics for Assessing Sets of Subtopics July 2010. SIGIR Conf. Research and Development in Information Retrieval.
• Filip Radlinski, Martin Szummer, Nick Craswell. Inferring Query Intent from Reformulations and Clicks April 2010. World Wide Web Conference (WWW).
• Lorenzo Torresani, Martin Szummer, Andrew Fitzgibbon. Learning Query-dependent Prefilters for Scalable Image Retrieval ( supplement ) June 2009. Proc. Comp. Vision Pattern Recogn. (CVPR)
• Martin Szummer, Nick Craswell. Behavioral Classification on the Click Graph April 2008. World Wide Web Conference (WWW) 1241-1242
• Onno Zoeter, Michael Taylor, Ed Snelson, John Guiver, Nick Craswell, Martin Szummer. A Decision Theoretic Framework for Ranking using Implicit Feedback July 2008. SIGIR 2008 Workshop on Learning to Rank for Information Retrieval
• Nick Craswell, Martin Szummer. Random Walks on the Click Graph July 2007. SIGIR Conf. Research and Development in Information Retrieval 239-246

Publications on Handwriting Adaptation (Personalization)

• Martin Szummer, Christopher M. Bishop. Discriminative Writer Adaptation October 2006. 10th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) 293-298

Publications on machine learning applied to computer systems

• James Mickens, Martin Szummer, Dushyanth Narayanan. Snitch: Interactive Decision Trees for Troubleshooting Misconfigurations April 2007. SysML07: 2nd Workshop on Tackling Computer Systems Problems with Machine Learning Techniques

Publications on Conditional Random Fields, applied to hand-drawing analysis

• Martin Szummer, Pushmeet Kohli, Derek Hoiem. Learning Random Fields using Graph Cuts. October 2010. Book chapter in book on MRFs, MIT press, edited by Andrew Blake, Carsten Rother, Pushmeet Kohli.
• Martin Szummer, Pushmeet Kohli, Derek Hoiem. Learning CRFs using Graph Cuts October 2008. European Conference on Computer Vision (ECCV)
• Carsten Rother, Vladimir Kolmogorov, Victor Lempitsky, Martin Szummer. Optimizing Binary MRFs via Extended Roof Duality June 2007. Proc. Comp. Vision Pattern Recogn. (CVPR)
• Philip J. Cowans, Martin Szummer. A Graphical Model for Simultaneous Partitioning and Labeling January 2005. AI & Statistics (AISTATS).
  Best Student Paper Award.
• Yuan Qi, Martin Szummer, Thomas P. Minka. Bayesian Conditional Random Fields January 2005. AI & Statistics (AISTATS) 269-276
• Yuan Qi, Martin Szummer, Thomas P. Minka. Diagram Structure Recognition by Bayesian Conditional Random Fields June 2005. Proc. Comp. Vision Pattern Recogn. (CVPR) 191-196
• Martin Szummer. Learning Diagram Parts with Hidden Random Fields August 2005. Intl. Conf. Document Analysis and Recognition (ICDAR) 1188-1193
• Martin Szummer, Yuan Qi. Contextual Recognition of Hand-drawn Diagrams with Conditional Random Fields October 2004. 9th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) 32-37
• Martin Szummer, Philip J. Cowans. Incorporating Context and User Feedback in Pen-Based Interfaces October 2004. AAAI Fall symposium, Making Pen-Based Interaction Intelligent and Natural. ed R. Davis and J. Landay et al. 159-166 FS-04-06
• Balaji Krishnapuram, Christopher M. Bishop, Martin Szummer. Generative Models and Bayesian Model Comparison for Shape Recognition October 2004. 9th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) 20-25

Learning from partially labeled data (semi-supervised learning)

• Martin Szummer, Tommi Jaakkola. Information Regularization with Partially Labeled Data January 2003. Advances in Neural Information Processing Systems (NIPS) 1025-1032 15
• Chen-Hsiang Yeang, Martin Szummer. Markov Random Walk Representations with Continuous Distributions August 2003. Proc. Uncertainty in Artificial Intelligence (UAI) 600-607
• Martin Szummer, Tommi Jaakkola. Partially labeled classification with Markov random walks January 2002. Advances in Neural Information Processing Systems (NIPS) 945-952 14
• Martin Szummer, Tommi Jaakkola. Kernel expansions with unlabeled examples January 2001. Advances in Neural Information Processing Systems (NIPS) 626-632 13

Image retrieval and texture modeling

• Wolfgang Sörgel, Sabine Girod, Martin Szummer, Bernd Girod. Computer Aided Diagnosis of Bone Lesions in the Facial Skeleton March 1998. Aachen, Germany Workshop Bildverarbeitung für die Medizin
• Martin Szummer, Rosalind W. Picard. Indoor-Outdoor Image Classification January 1998. Bombay, India IEEE International Workshop on Content-Based Access of Image and Video Databases (CAIVD) 42-51
• Rosalind W. Picard, Thomas P. Minka, Martin Szummer. Modeling User Subjectivity In Image Libraries September 1996, Lausanne, Switzerland IEEE Intl. Conf. On Image Processing (ICIP) 777-780 2
• Martin Szummer, Rosalind W. Picard. Temporal Texture Modeling September 1996, Lausanne, Switzerland IEEE Intl. Conf. On Image Processing (ICIP) 823-826 3
• Martin Szummer. An Image Browser that learns from User Interaction December 1995.
• Martin Szummer. Temporal Texture Modeling September 1995. Master's Thesis. TR-346 MIT Media Lab Perceptual Computing

Natural Language Processing

• Wlodek Zadrozny, Marcin Szummer, Stanislaw Jarecki, David Johnson, Leora Morgenstern. NL Understanding with a Grammar of Constructions August 1994, Kyoto, Japan Intl. Conf. on Computational Linguistics (COLING) 1289-1293 15