Harold Charles Daume
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Harold Charles Daumecomputer-science Degrees
Computer Science
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Computational Linguistics
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Machine Learning
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#1824
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#3250
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Computer Science
Why Is Harold Charles Daume Influential?
(Suggest an Edit or Addition)Harold Charles Daume's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Frustratingly Easy Domain Adaptation (2007) (1700)
- Datasheets for datasets (2018) (994)
- Co-regularized Multi-view Spectral Clustering (2011) (935)
- Domain Adaptation for Statistical Classifiers (2006) (872)
- Deep Unordered Composition Rivals Syntactic Methods for Text Classification (2015) (754)
- A Co-training Approach for Multi-view Spectral Clustering (2011) (727)
- Generalized Multiview Analysis: A discriminative latent space (2012) (692)
- Search-based structured prediction (2009) (596)
- Learning Task Grouping and Overlap in Multi-task Learning (2012) (473)
- Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? (2018) (471)
- Midge: Generating Image Descriptions From Computer Vision Detections (2012) (426)
- Corpus-Guided Sentence Generation of Natural Images (2011) (391)
- A Neural Network for Factoid Question Answering over Paragraphs (2014) (343)
- Learning as search optimization: approximate large margin methods for structured prediction (2005) (284)
- Incorporating Lexical Priors into Topic Models (2012) (276)
- Bayesian Query-Focused Summarization (2006) (273)
- Learning to Search Better than Your Teacher (2015) (216)
- When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks (2018) (197)
- Co-regularization Based Semi-supervised Domain Adaptation (2010) (172)
- Learning to Search in Branch and Bound Algorithms (2014) (169)
- Notes on CG and LM-BFGS Optimization of Logistic Regression (2008) (161)
- Domain Adaptation for Machine Translation by Mining Unseen Words (2011) (156)
- Understanding and predicting importance in images (2012) (154)
- Hierarchical Imitation and Reinforcement Learning (2018) (137)
- Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic (2013) (135)
- Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings (2018) (132)
- Online Learning of Multiple Tasks and Their Relationships (2011) (132)
- Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships (2016) (129)
- Name Translation in Statistical Machine Translation - Learning When to Transliterate (2008) (128)
- Bayesian Agglomerative Clustering with Coalescents (2007) (128)
- Learning Latent Engagement Patterns of Students in Online Courses (2014) (127)
- Content Selection in Deep Learning Models of Summarization (2018) (126)
- Bayesian Multitask Learning with Latent Hierarchies (2009) (125)
- Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information (2018) (118)
- Practical structured learning techniques for natural language processing (2006) (117)
- Predictable Dual-View Hashing (2013) (114)
- A Noisy-Channel Model for Document Compression (2002) (108)
- Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation (2014) (108)
- Automatically Producing Plot Unit Representations for Narrative Text (2010) (105)
- A Large-Scale Exploration of Effective Global Features for a Joint Entity Detection and Tracking Model (2005) (104)
- Non-Monotonic Sequential Text Generation (2019) (103)
- Imitation Learning by Coaching (2012) (100)
- Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning (2019) (98)
- Learning Multiple Tasks using Manifold Regularization (2010) (96)
- Extracting Multilingual Topics from Unaligned Comparable Corpora (2010) (91)
- Sketch Algorithms for Estimating Point Queries in NLP (2012) (86)
- Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task (2017) (83)
- Understanding MOOC Discussion Forums using Seeded LDA (2014) (82)
- Toward Gender-Inclusive Coreference Resolution (2019) (81)
- Active Supervised Domain Adaptation (2011) (80)
- Structure compilation: trading structure for features (2008) (79)
- Predicting Instructor’s Intervention in MOOC forums (2014) (79)
- Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback (2017) (78)
- Multi-Label Prediction via Sparse Infinite CCA (2009) (75)
- Infinite Predictor Subspace Models for Multitask Learning (2010) (75)
- Answer-based Adversarial Training for Generating Clarification Questions (2019) (72)
- Measuring Machine Translation Errors in New Domains (2013) (72)
- Biomedical Event Extraction using Abstract Meaning Representation (2017) (69)
- Large Scale Retrieval and Generation of Image Descriptions (2015) (67)
- Active Learning for Cost-Sensitive Classification (2017) (64)
- The Infinite Hierarchical Factor Regression Model (2008) (63)
- Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression (2012) (63)
- The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives (2016) (63)
- Reinforcement Learning with Convex Constraints (2019) (63)
- Predicting the impact of scientific concepts using full‐text features (2016) (59)
- A Bayesian Model for Discovering Typological Implications (2007) (58)
- A Binary Classification Framework for Two-Stage Multiple Kernel Learning (2012) (58)
- A Bayesian Model for Supervised Clustering with the Dirichlet Process Prior (2005) (56)
- Fast search for Dirichlet process mixture models (2007) (54)
- Streaming for large scale NLP: Language Modeling (2009) (54)
- Flexible Modeling of Latent Task Structures in Multitask Learning (2012) (53)
- Non-Parametric Bayesian Areal Linguistics (2009) (53)
- Dynamic Feature Selection for Dependency Parsing (2013) (53)
- Detecting Visual Text (2012) (48)
- Streamed Learning: One-Pass SVMs (2009) (45)
- Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation (2016) (45)
- Unsupervised Learning of Evolving Relationships Between Literary Characters (2017) (45)
- Uncovering hidden engagement patterns for predicting learner performance in MOOCs (2014) (44)
- Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation (2013) (44)
- A Bayesian statistics approach to multiscale coarse graining. (2008) (44)
- Efficient Protocols for Distributed Classification and Optimization (2012) (43)
- Induction of Word and Phrase Alignments for Automatic Document Summarization (2005) (42)
- Learning Text Pair Similarity with Context-sensitive Autoencoders (2016) (42)
- Logarithmic Time One-Against-Some (2016) (42)
- A geometric view of conjugate priors (2010) (39)
- From Zero to Reproducing Kernel Hilbert Spaces in Twelve Pages or Less (2006) (39)
- Unsupervised search-based structured prediction (2009) (37)
- Modeling Evolving Relationships Between Characters in Literary Novels (2016) (36)
- SenseSpotting: Never let your parallel data tie you to an old domain (2013) (36)
- A COMPUTATIONAL MODEL FOR PLOT UNITS (2013) (35)
- A Phrase-Based HMM Approach to Document/Abstract Alignment (2004) (33)
- Protocols for Learning Classifiers on Distributed Data (2012) (31)
- Spoken language interaction with robots: Recommendations for future research (2022) (31)
- Approximate Scalable Bounded Space Sketch for Large Data NLP (2011) (31)
- Why discourse affects speakers' choice of referring expressions (2015) (30)
- Towards a Watson that sees: Language-guided action recognition for robots (2012) (30)
- Modeling Syntactic and Semantic Structures in Hierarchical Phrase-based Translation (2013) (28)
- Web Search Intent Induction via Automatic Query Reformulation (2004) (28)
- Learned Prioritization for Trading Off Accuracy and Speed (2012) (28)
- Markov Random Topic Fields (2009) (27)
- Domain Adaptation in Machine Translation : Final Report (2013) (26)
- Syntax-based Rewriting for Simultaneous Machine Translation (2015) (26)
- Message-Passing for Approximate MAP Inference with Latent Variables (2011) (25)
- Cross-Task Knowledge-Constrained Self Training (2008) (24)
- Global Voices: Crossing Borders in Automatic News Summarization (2019) (22)
- Sketching Techniques for Large Scale NLP (2010) (22)
- Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback (2019) (22)
- Bayesian Summarization at DUC and a Suggestion for Extrinsic Evaluation (21)
- Learning Reductions That Really Work (2015) (21)
- NP Bracketing by Maximum Entropy Tagging and SVM Reranking (2004) (21)
- Efficient programmable learning to search (2014) (21)
- Using classifier cascades for scalable e-mail classification (2011) (20)
- A Tree-Position Kernel for Document Compression (2004) (20)
- Monolingual Marginal Matching for Translation Model Adaptation (2013) (20)
- Learning to Search for Dependencies (2015) (19)
- Short Text Representation for Detecting Churn in Microblogs (2016) (19)
- Fast Large-Scale Approximate Graph Construction for NLP (2012) (19)
- A Credit Assignment Compiler for Joint Prediction (2014) (19)
- The Importance of Lexicalized Syntax Models for Natural Language Generation Tasks (2002) (18)
- Generating Sentences from Semantic Vector Space Representations (2014) (18)
- Generative Kernels for Exponential Families (2011) (17)
- Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage (2011) (17)
- Improving Bilingual Projections via Sparse Covariance Matrices (2011) (17)
- Search-Based Structured Prediction as Classification (17)
- Kernelized Sorting for Natural Language Processing (2010) (16)
- Exploiting tag and word correlations for improved webpage clustering (2010) (16)
- The meaning and measurement of bias: lessons from natural language processing (2020) (15)
- Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text (2015) (15)
- Generating Semantic Orientation Lexicon using Large Data and Thesaurus (2011) (15)
- Guest Editor’s Introduction to the Special Issue on Domain Adaptation for Vision Applications (2014) (14)
- Regularized Interlingual Projections: Evaluation on Multilingual Transliteration (2012) (14)
- Target-Dependent Churn Classification in Microblogs (2015) (13)
- Modeling Dynamic Relationships Between Characters in Literary Novels (2015) (13)
- A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation (2014) (12)
- Structured Prediction via Learning to Search under Bandit Feedback (2017) (12)
- Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent (2013) (11)
- Dialogue focus tracking for zero pronoun resolution (2015) (11)
- Meta-Learning for Contextual Bandit Exploration (2019) (11)
- CLIP@UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search (2015) (11)
- Kernel regression for Head-Related Transfer Function interpolation and spectral extrema extraction (2013) (11)
- Integrating a Discriminative Classifier into Phrase-based and Hierarchical Decoding (2014) (10)
- “I Object!” Modeling Latent Pragmatic Effects in Courtroom Dialogues (2014) (9)
- Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints (2020) (9)
- Exponential Family Hybrid Semi-Supervised Learning (2009) (9)
- Sensor Network Localization for Moving Sensors (2012) (9)
- Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing (2010) (9)
- Computational methods are invaluable for typology, but the models must match the questions (2011) (8)
- Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering (2012) (7)
- Active Online Multitask Learning (2010) (7)
- Towards Automatic Generation of Questions from Long Answers (2020) (7)
- Contextual Memory Trees (2018) (6)
- A Framework for Discriminative Rule Selection in Hierarchical Moses (2016) (6)
- A Corpus-Guided Framework for Robotic Visual Perception (2011) (6)
- Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback (2018) (6)
- Learning Speed-Accuracy Tradeoffs in Nondeterministic Inference Algorithms (2011) (6)
- Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts (2019) (5)
- Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields (2020) (5)
- Analyzing Stereotypes in Generative Text Inference Tasks (2021) (5)
- The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task (2017) (4)
- Supervised clustering with the Dirichlet process (4)
- Prioritized Asynchronous Belief Propagation (2013) (4)
- Beam Search based MAP Estimates for the Indian Buffet Process (2011) (4)
- On Correcting Inputs: Inverse Optimization for Online Structured Prediction (2015) (4)
- Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation (2021) (4)
- The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health (2016) (3)
- From Bilingual Dictionaries to Interlingual Document Representations (2011) (3)
- Search Intent Induction via Search Results Partitioning (2007) (3)
- A Topical Graph Kernel for Link Prediction in Labeled Graphs (2012) (3)
- Nonparametric Bayesian Sparse Hierarchical Factor Modeling and Regression (2008) (3)
- Prior and Prejudice (2021) (2)
- Meta-Learning Effective Exploration Strategies for Contextual Bandits (2021) (2)
- Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing (2006) (2)
- Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation (2021) (2)
- Integrated Information Management: An Interactive, Extensible Architecture for Information Retrieval (2001) (2)
- Low-Dimensional Discriminative Reranking (2012) (2)
- Proceedings of the Workshop on Human-Computer Question Answering (2016) (2)
- Incremental Multi-Dimensional Scaling (2010) (2)
- Single Pass SVM using Minimum Enclosing Ball of Streaming Data (2008) (1)
- A Generalized Framework for Machine Transliteration (2014) (1)
- 3 Mixture of Factor Analyzers based Generative Model for Multitask Learning (2011) (1)
- Supporting human flourishing by ensuring human involvement in AI-infused systems (2021) (1)
- Introduction to NIPS 2017 Competition Track (2018) (1)
- Heterogeneous Supervised Topic Models (2022) (1)
- A Phrase-Based HMM (1)
- Synchronous Machine Translation (NII Shonan Meeting 2015-10) (2015) (0)
- NeurIPS 2018 Demographics & Inclusion Survey : Summary of Responses (2019) (0)
- 2 Matching Text to Entities : Quiz Bowl (2018) (0)
- Domain Adaptation (2020) (0)
- Carefully Appoximated Bayes Factors for Feature Selection in MaxEnt Models (2004) (0)
- Learning Effective Exploration Strategies For Contextual Bandits (2019) (0)
- Beyond Structured Prediction: Inverse Reinforcement Learning (2011) (0)
- Toward a General Framework for Words and Pictures (2012) (0)
- 2 Multiview Clustering using Low-Dimensional Projections (2012) (0)
- Factor Regression Combining Heterogeneous Sources of Information (2009) (0)
- Discrete Algorithms Meet Machine Learning (NII Shonan Meeting 2013-6) (2013) (0)
- Beyond EM: Bayesian Techniques for Human Language Technology Researchers (2006) (0)
- Appendix : Non-Monotonic Sequential Text Generation (2019) (0)
- Seamful XAI: Operationalizing Seamful Design in Explainable AI (2022) (0)
- Support Vector Machines for Natural Language Processing CSCI 544 – Notes to Accompany the Lecture (2004) (0)
- Automatic Summarization ( Mani ) Book Review (2004) (0)
- From Structured Prediction to Inverse Reinforcement Learning (2010) (0)
- Transfer learning in language (2012) (0)
- Lossy Conservative Update sketch ∗ (0)
- Supplement for the paper titled “ Co-regularization Based Semi-supervised Domain Adaptation ” (2010) (0)
- Learning Reductions That Really Work This paper summarizes the mathematical and computational techniques that have enabled learning reductions to effectively address a wide class of tasks. (2016) (0)
- Endorsed By: Acl Siglex Acl Sigsem a Regression Model of Adjective-noun Compositionality in Distributional Semantics Semantic Composition with Quotient Algebras Expectation Vectors: a Semiotics Inspired Approach to Geometric Lexical-semantic Representation Sketch Techniques for Scaling Distributiona (0)
- Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2013) (0)
- Working Draft : This is work in progress ! Datasheets for Datasets ∗ (2018) (0)
- Digital Words: Moving Forward with Measuring the Readability of Online Texts (2018) (0)
- Hands-on Learning to Search for Structured Prediction (2015) (0)
- Non-parametric Bayesian Hierarchical Factor Modeling and Regression (2008) (0)
- Variance Reduction for Structured Prediction with Bandit Feedback (2017) (0)
- Proceedings of the Workshop on Prior Knowledge for Text and Language Processing (2008) (0)
- The 2nd Learning from Limited Labeled Data (LLD) Workshop: Representation Learning for Weak Supervision and Beyond (0)
- Faster , Better , or Both ! Learning Priority Functions for Decoding (2011) (0)
- Kuhn meets Rosenblatt : Combinatorial Algorithms for Online Structured Prediction (2013) (0)
- Co-regularization Based Analysis of Feature Sharing Algorithms (2010) (0)
- Book Review, Inderjeet Mani: Automatic Summarization, John Benjamins Publishing Co., Amsterdam, The Netherlands, 2001, xi + 286 pp. (2004) (0)
- Discriminatively Enhanced Topic Models (2013) (0)
- Fast Search for Infinite Latent Feature Models (2009) (0)
- Predicting Dialogue Outcomes over Structured Latent Representations (2013) (0)
- Simultaneous Machine Interpretation (2016) (0)
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What Schools Are Affiliated With Harold Charles Daume?
Harold Charles Daume is affiliated with the following schools:
