Kevin P. Murphy
13 papers · 2009–2024 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(5)
π§
Keyword Pioneer
π
Century Club Β· Bronze
β
The Questioner
ποΈ
Keyword Collector
(95)
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Core Methods
(6)
Deep Learning
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Core AI
(4)
Optimization & Theory
(4)
Learning Types Β· Machine Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Keywords
variational inference
(4)
bayesian inference
(3)
convolutional neural network
(2)
expectation maximization
(2)
em algorithm
(2)
semi-supervised learning
(1)
metric learning
(1)
representation learning
(1)
ordinal regression
(1)
image generation
(1)
image segmentation
(1)
uncertainty modeling
(1)
transfer learning
(1)
domain adaptation
(1)
gaussian processes
(1)
action recognition
(1)
matrix factorization
(1)
structure learning
(1)
belief propagation
(1)
multi-task learning
(1)
Papers
What type of inference is planning?
NeurIPS 2024
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
NeurIPS 2023
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
NeurIPS 2023
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
NeurIPS 2019
Modeling Uncertainty with Hedged Instance Embeddings
ICLR 2019
Unsupervised learning of object structure and dynamics from videos
NeurIPS 2019
Bayesian dark knowledge
NeurIPS 2015
Im2Calories: Towards an Automated Mobile Vision Food Diary
ICCV 2015
Probabilistic Label Relation Graphs With Ising Models
ICCV 2015
Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation
ICCV 2015
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression
NeurIPS 2012
Variational bounds for mixed-data factor analysis
NeurIPS 2010
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
NeurIPS 2009