Thomas Hofmann

According to our database1, Thomas Hofmann authored at least 108 papers between 1993 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples.
Proceedings of the 36th International Conference on Machine Learning, 2019

Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Local Saddle Point Optimization: A Curvature Exploitation Approach.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Deep State Space Models for Unconditional Word Generation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hyperbolic Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Distributed Second-Order Algorithm You Can Trust.
Proceedings of the 35th International Conference on Machine Learning, 2018

Escaping Saddles with Stochastic Gradients.
Proceedings of the 35th International Conference on Machine Learning, 2018

Semantic Interpolation in Implicit Models.
Proceedings of the 6th International Conference on Learning Representations, 2018

An Online Learning Approach to Generative Adversarial Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning and Evaluating Sparse Interpretable Sentence Embeddings.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

End-to-End Neural Entity Linking.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2017
Learning Aerial Image Segmentation From Online Maps.
IEEE Trans. Geoscience and Remote Sensing, 2017

Fully Character-Level Neural Machine Translation without Explicit Segmentation.
TACL, 2017

Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification.
Proceedings of the 26th International Conference on World Wide Web, 2017

Stabilizing Training of Generative Adversarial Networks through Regularization.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Joint Entity Disambiguation with Local Neural Attention.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Probabilistic Bag-Of-Hyperlinks Model for Entity Linking.
Proceedings of the 25th International Conference on World Wide Web, 2016

Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

DFS- ConceptDesk - Experimenteller Workspace für Fluglotsen.
Proceedings of the Usability Professionals 2016, Aachen, Germany, September 4-7, 2016, 2016

Starting Small - Learning with Adaptive Sample Sizes.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Audio Based Bird Species Identification using Deep Learning Techniques.
Proceedings of the Working Notes of CLEF 2016, 2016

Active Content-Based Crowdsourcing Task Selection.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Modelling Term Dependence with Copulas.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Variance Reduced Stochastic Gradient Descent with Neighbors.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Exploiting Document Content for Efficient Aggregation of Crowdsourcing Votes.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Communication-Efficient Distributed Dual Coordinate Ascent.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2009
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Predicting structured objects with support vector machines.
Commun. ACM, 2009

Inkrementelle nutzergerechte Etablierung eines Towerlotsen-HMI.
Proceedings of the Mensch & Computer 2009: Grenzenlos frei!?, 2009

2008
A Survey of Attack-Resistant Collaborative Filtering Algorithms.
IEEE Data Eng. Bull., 2008

Evaluation eines Human-Machine-Interface für Tower-Fluglotsen unter Einsatz eines Simulators.
Proceedings of the Berichtband des sechsten Workshops des German Chapters der Usability Professionals Association e.V., 2008

NEW HMI Möglichkeiten und Grenzen abstrakt-geographischer Visualisierung in Bereich der Anlagensteuerung.
Proceedings of the Berichtband des sechsten Workshops des German Chapters der Usability Professionals Association e.V., 2008

Beyond sliding windows: Object localization by efficient subwindow search.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Advanced experimental and numerical methods for the analysis of the dynamic forming press behavior.
Production Engineering, 2007

Robust collaborative filtering.
Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

Lies and propaganda: detecting spam users in collaborative filtering.
Proceedings of the 12th International Conference on Intelligent User Interfaces, 2007

Exploiting Known Taxonomies in Learning Overlapping Concepts.
Proceedings of the IJCAI 2007, 2007

2006
Cross System Personalization and Collaborative Filtering by Learning Manifold Alignments.
Proceedings of the KI 2006: Advances in Artificial Intelligence, 2006

Global Biclustering of Microarray Data.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Large Margin Methods for Structured and Interdependent Output Variables.
J. Mach. Learn. Res., 2005

Non-redundant clustering with conditional ensembles.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

A brain computer interface with online feedback based on magnetoencephalography.
Proceedings of the Machine Learning, 2005

From bits and bytes to information and knowledge.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Collaborative Machine Learning.
Proceedings of the From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments, 2005

Kernel Methods for Missing Variables.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Latent semantic models for collaborative filtering.
ACM Trans. Inf. Syst., 2004

Exponential Families for Conditional Random Fields.
Proceedings of the UAI '04, 2004

A joint framework for collaborative and content filtering.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Semi-supervised Learning on Directed Graphs.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Support vector machine learning for interdependent and structured output spaces.
Proceedings of the Machine Learning, 2004

Unifying collaborative and content-based filtering.
Proceedings of the Machine Learning, 2004

Gaussian process classification for segmenting and annotating sequences.
Proceedings of the Machine Learning, 2004

Non-Redundant Data Clustering.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Learning Over Compact Metric Spaces.
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

Hierarchical document categorization with support vector machines.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003
Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002.
SIGIR Forum, 2003

Collaborative filtering via gaussian probabilistic latent semantic analysis.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Text categorization by boosting automatically extracted concepts.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Multiple-Instance Learning via Disjunctive Programming Boosting.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Phaszination Ergonomie: Von der Entlastung am Fließband zur Inspiration im Design.
Proceedings of the Berichtband des ersten Workshops des German Chapters der Usability Professionals Association e.V., 2003

Large margin methods for label sequence learning.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Hierarchical Semantic Classification: Word Sense Disambiguation with World Knowledge.
Proceedings of the IJCAI-03, 2003

Hidden Markov Support Vector Machines.
Proceedings of the Machine Learning, 2003

Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences.
Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2003

2002
Predicting CNS Permeability of Drug Molecules: Comparison of Neural Network and Support Vector Machine Algorithms.
Journal of Computational Biology, 2002

Support Vector Machines for Multiple-Instance Learning.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Discriminative Learning for Label Sequences via Boosting.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Support Vector Machines for Polycategorical Classification.
Proceedings of the Machine Learning: ECML 2002, 2002

Multiple Instance Learning with Generalized Support Vector Machines.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Unsupervised Learning by Probabilistic Latent Semantic Analysis.
Machine Learning, 2001

Learning What People (Don't) Want.
Proceedings of the Machine Learning: EMCL 2001, 2001

Text Classification in a Hierarchical Mixture Model for Small Training Sets.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
A theory of proximity based clustering: structure detection by optimization.
Pattern Recognition, 2000

ProbMap - A probabilistic approach for mapping large document collections.
Intell. Data Anal., 2000

Learning probabilistic models of the Web.
Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Learning Curved Multinomial Subfamilies for Natural Language Processing and Information Retrieval.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

OpenSpaces: An Object-Oriented Framework for Reconfigurable Coordination Spaces.
Proceedings of the Coordination Languages and Models, 4th International Conference, 2000

1999
Histogram clustering for unsupervised segmentation and image retrieval.
Pattern Recognition Letters, 1999

Probabilistic Latent Semantic Analysis.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

Probabilistic Latent Semantic Indexing.
Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999

Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and Categorization.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Topic-based language models using EM.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

Latent Class Models for Collaborative Filtering.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

The Cluster-Abstraction Model: Unsupervised Learning of Topic Hierarchies from Text Data.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Probabilistic Topic Maps: Navigating through Large Text Collections.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

Histogram Clustering for Unsupervised Image Segmentation.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
Competitive learning algorithms for robust vector quantization.
IEEE Trans. Signal Processing, 1998

Unsupervised Texture Segmentation in a Deterministic Annealing Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Learning from Dyadic Data.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Mixture models for co-occurrence and histogram data.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Discrete Mixture Models for Unsupervised Image Segmentation.
Proceedings of the Mustererkennung 1998, 20. DAGM-Symposium, Stuttgart, 29. September, 1998

1997
Data clustering and beyond: a deterministic annealing framework for exploratory data analysis.
PhD thesis, 1997

Correction to "Pairwise Data Clustering by Deterministic Annealing".
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Pairwise Data Clustering by Deterministic Annealing.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Active Data Clustering.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

An Optimization Approach to Unsupervised Hierarchical Texture Segmentation.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Robust vector quantization by competitive learning.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Deterministic Annealing for Unsupervised Texture Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
Inferring Hierarchical Clustering Structures by Deterministic Annealing.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Unsupervised segmentation of textured images by pairwise data clustering.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

An Annealed "Neural Gas" Network for Robust Vector Quantization.
Proceedings of the Artificial Neural Networks, 1996

1995
The Mobile Robot RHINO.
AI Magazine, 1995

1994
Multidimensional Scaling and Data Clustering.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

A maximum entropy approach to pairwise data clustering.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
Central and Pairwise Data Clustering by Competitive Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993


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