← Authors

Daphne Koller

26 papers · 2001–2019 · 7 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (18) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (8) 🌱 Topic Pioneer πŸ† Keyword Champion (3) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (83) ⚑ Prolific Year (5) πŸ’Ž Century Club (26)

Conferences

NIPS (11) JMLR (5) AISTATS (3) EMNLP (3) ACL (2) CONLL (1) ICCV (1)

Top co-authors

David Vickrey (5) Geremy Heitz (4) Gal Elidan (4) Pieter Abbeel (3) Gal Chechik (3) Tianshi Gao (2) M. P. Kumar (2) Nir Friedman (2) Benjamin Packer (2) Kevin Tang (2)

Keywords

graphical model (4) structure learning (4) probabilistic model (4) support vector machine (4) latent variable model (3) image segmentation (3) convex optimization (3) object detection (3) probabilistic modeling (3) missing feature (2) markov network (2) temporal modeling (2) self-paced learning (2) bayesian network (2) feature learning (2) scene understanding (2) max-margin classification (2) transfer learning (1) variational inference (1) semantic segmentation (1)

Papers

Inferring Multidimensional Rates of Aging from Cross-Sectional Data AISTATS 2019
Combining the Right Features for Complex Event Recognition ICCV 2013
Shifting Weights: Adapting Object Detectors from Image to Video NIPS 2012
Max-Margin Min-Entropy Models AISTATS 2012
Convex envelopes of complexity controlling penalties: the case against premature envelopment AISTATS 2011
Active Classification based on Value of Classifier NIPS 2011
An Active Learning Approach to Finding Related Terms ACL 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Region-based Segmentation and Object Detection NIPS 2009
Learning a Small Mixture of Trees NIPS 2009
Max-margin Classification of Data with Absent Features JMLR 2008
Cascaded Classification Models: Combining Models for Holistic Scene Understanding NIPS 2008
Shape-Based Object Localization for Descriptive Classification NIPS 2008
Sentence Simplification for Semantic Role Labeling ACL 2008
Applying Sentence Simplification to the CoNLL-2008 Shared Task CONLL 2008
Online Word Games for Semantic Data Collection EMNLP 2008
Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NIPS 2006
Using Combinatorial Optimization within Max-Product Belief Propagation NIPS 2006
Max-margin classification of incomplete data NIPS 2006
Efficient Structure Learning of Markov Networks using $L_1$-Regularization NIPS 2006
Word-Sense Disambiguation for Machine Translation EMNLP 2005
Learning Module Networks JMLR 2005
Max-Margin Parsing EMNLP 2004
Learning Probabilistic Models of Link Structure JMLR 2002
Support Vector Machine Active Learning with Applications to Text Classification JMLR 2001