Daphne Koller
26 papers · 2001–2019 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Conference Polyglot
(7)
πΊοΈ
Taxonomy Completionist
(19)
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(8)
π±
Topic Pioneer
π
Keyword Champion
(3)
π
Trend Setter
π₯
Unstoppable
(6)
π
Conference Pioneer
ποΈ
Keyword Collector
(83)
β‘
Prolific Year
(5)
π
Century Club
(26)
Conferences
NIPS (11)
JMLR (5)
AISTATS (3)
EMNLP (3)
ACL (2)
CONLL (1)
ICCV (1)
Top co-authors
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