• “Challenges in end-to-end neural scientific document OCR”, Yuntian Deng, David Rosenberg and Gideon Mann, [PDF] 2019

  • “Improving Grey-Box Fuzzing by Modeling Program Behavior” Siddharth Karamcheti, Gideon Mann, David Rosenberg, arxiv, 2018. [pdf]

  • “Adaptive Grey-box Fuzz-Testing with Thompson Sampling” Siddharth Karamcheti, Gideon Mann, David Rosenberg, AI Security 2018, [pdf]

  • “Challenges in end-to-end neural scientific table recogniton”, Y Deng, D Rosenberg, G Mann. ICDAR, 2019. [pdf]

  • Augmented Programming: at ODSC [slides]

  • EMNLP 2018 : Keynote Day 2 [Slides] [Video]

  • “Predicting Good Twitter Conversations”, Zach Wood-Doughty, Anju Kambadur, Gideon Mann. W-NUT 2018 (poster).

  • “Trends in the Adoption of Corporate Child Labor Policies: An Analysis with Bloomberg Terminal ESG Data.” Vedran Sekara, Alex Rutherford, Gideon Mann, Mark Dredze, Natalia Adler, Manuel Garcia-Herranz. Bloomberg Data for Good Exchange, 2018. [PDF]

  • “Hiring algorithms are not neutral” Gideon Mann, Cathy O’Neill (Harvard Business Review), 2016.

  • “It’s Time To Recognize Machines are Learning all the wrong things” (Fast Company), 2016.

  • “Twitter as a Source of Global Mobility Patterns for Social Good”, Mark Dredze, Manuel Garcia-Herranz, Alex Rutherford, Gideon Mann , ICML Machine Learning in Social Good Applications [arxiv]

  • “How Twitter is Changing the Nature of Financial News Discovery”, Mark Dredze, Prabhanjan Kambadur, Gary Kazantsev, Gideon Mann, Miles Osborne. SIGMOD Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets. [pdf]

  • “Differential Profiling for Asynchronous Distributed Systems”, Gideon Mann, Krzysztof Ostrowski, Mark Sandler. Tech Report.

  • “Efficient Transfer Learning Method for Automatic Hyperparameter Tuning”, Dani Yogatama, Gideon Mann. AISTATS. [[pdf]

  • “Restricted Transfer Learning for Text Categorization”, Rajhans Samdani, Gideon Mann. NIPS Workshop. [[pdf] Profiling Latency in Deployed Distributed System (Princeton, CMU 2013)

  • “Diagnosing Latency in Multi-Tier Black-Box Systems”, Krzystof Ostrowski, Gideon Mann, Mark Sandler. LADIS. [[pdf]

  • “Modeling the Parallel Execution of Black-Box Services”, Gideon Mann, Mark Sandler, Darja Krushevskaja, Sudipto Guha, Eyal Even-dar. USENIX/HotCloud. [[pdf]

  • “Distributed Training Strategies for the Structured Perceptron”, Ryan McDonald, Keith Hall, Gideon Mann. HLT-NAACL. [[pdf]

  • “Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data”, Gideon Mann, Andrew McCallum. JMLR. [[pdf]

  • “MapReduce/Bigtable for Distributed Optimization”, Keith Hall, Scott Gilpin, Gideon Mann. NIPS Workshop/LCCC. [[pdf] [[ppt]

  • “Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models”. Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, Daniel Walker. NIPS. [[pdf][[poster pdf]

  • “Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria”. Greg Druck, Gideon S. Mann, Andrew McCallum. ACL-IJCNLP [[pdf]

  • “YouTube Scale, Large Vocabulary Video Annotation”, Nicholas Morsillo, Gideon Mann, Chris Pal. in “Video Search and Mining” eds. [[pdf]

  • “Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields”. Gideon S. Mann, Andrew McCallum. ACL [[pdf]

  • “Learning to Classify from Labeled Features”. Gregory Druck, Gideon S. Mann, Andrew McCallum. SIGIR [[pdf]

  • “Simple, Robust, Scalable Semi-supervised Learning via Expectation Regularization”. Gideon S. Mann, Andrew McCallum. ICML. [[pdf]

  • “Multi-Document Relationship Fusion via Constraints on Probabilistic Databases”. Gideon S. Mann. HLT/NAACL. [[pdf]

  • “Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields”. Gideon S. Mann, Andrew McCallum. HLT/NAACL (short). [[pdf]

  • “Penn/UMass/CHOP BiocreativeII Systems”. Kuzman Ganchez, Koby Crammer, Fernando Pereira, Gideon Mann, Kedar Bellare, Andrew McCallum, Steven Carroll, Yang Jin, and Peter White. BiocreativeII Evaluation Workshop. [[pdf]

  • “Putting Semantic Information Extraction on the Map”. Chris Pal, Gideon S. Mann, Richard Minerich, AAAI Workshop on Information Integration on the Web. [[pdf]

  • “Leveraging Existing Resources using Generalized Expectation Criteria”. Gregory Druck, Gideon S. Mann, Andrew McCallum, NIPS Workshop on Learning Problem Design. [[pdf]

  • “Reducing Annotation Effort using Generalized Expectation Criteria”. Gregory Druck, Gideon S. Mann, Andrew McCallum, University of Massachusetts Amherst Tech Report 07-62. [[pdf]

  • “Generalized Expectation Criteria”. Andrew McCallum, Gideon S. Mann, Gregory Druck. University of Massachusetts Amherst Tech Report 07-60

  • “Bibliometric Impact Measures Leveraging Topic Analysis”.Gideon S. Mann, David Mimno, Andrew McCallum. JCDL. [[pdf]

  • “Multi-Document Statistical Fact Extraction and Fusion”. Gideon S. Mann, Ph.D. Thesis. [[pdf]

  • “Cascaded Information Synthesis for Timeline Construction”. Gideon S. Mann, Technical Report, University of Massachusetts IR-501. [[pdf]

  • “Reverse-Engineering Question/Answer Collections from Ordinary Text”. Ellen Riloff, Gideon S. Mann, Bill Philips, in “Advances in Open-Domain Question Answering”, Tomek Strzalkowski and Sanda Harabagiu, editors.

  • “Multi-Field Information Extraction and Cross-Document Fusion”. Gideon S. Mann, David Yarowsky, ACL. [[pdf]

  • “Unsupervised Personal Name Disambiguation”. Gideon S. Mann, David Yarowsky, CoNLL. [[pdf]

  • “Bootstrapping toponym classifiers”. David A. Smith, Gideon S. Mann, Workshop on geographic name disambiguation. [[pdf]

  • “Learning How to Answer Questions using Trivia Games”. Gideon S. Mann, COLING. [[pdf]

  • “Fine-Grained Proper Noun Ontologies for Question Answering”. Gideon S. Mann . [[pdf ]

  • “Analyses for Elucidating Current Question Answering Technology”. Marc Light, Gideon S. Mann, Ellen Riloff, Eric Breck, Journal of Natural Language Engineering, 7:4 [[pdf]

  • “Multipath Translation Lexicon Induction via Bridge Languages”. Gideon S. Mann and David Yarowsky NAACL [[pdf]

  • “A Statistical Method for Short Answer Extraction”. Gideon S. Mann Workshop on Open-Domain Question Answering at ACL [[pdf]

  • “Looking Under the Hood: Tools for Diagnosing your Question Answering System”. Eric Breck, Marc Light, Gideon S. Mann, Ellen Riloff, Brianne Brown, Pranav Anand, Mats Rooth, Michael Thelen Workshop on Open-Domain Question Answering at ACL [[pdf]