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Kevin Murphy

Identifiers

  • name variant Kevin Murphy 0.60 · backfill

Papers (51)

  1. From Generalist to Specialist Representation cs.LG · 2026 · author #5
  2. Health System Scale Semantic Search Across Unstructured Clinical Notes cs.IR · 2026 · author #9
  3. Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs cs.AI · 2026 · author #1
  4. Joint Learning of Hierarchical Neural Options and Abstract World Model cs.LG · 2026 · author #4
  5. Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction cs.CV · 2019 · author #4
  6. Relational Action Forecasting cs.CV · 2019 · author #5
  7. Unsupervised Discovery of Parts, Structure, and Dynamics cs.CV · 2019 · author #4
  8. Stochastic Prediction of Multi-Agent Interactions from Partial Observations cs.LG · 2019 · author #5
  9. NAS-Bench-101: Towards Reproducible Neural Architecture Search cs.LG · 2019 · author #5
  10. Composing Text and Image for Image Retrieval - An Empirical Odyssey cs.CV · 2018 · author #4
  11. Actor-Centric Relation Network cs.CV · 2018 · author #4
  12. Tracking Emerges by Colorizing Videos cs.CV · 2018 · author #5
  13. PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model cs.CV · 2018 · author #6
  14. Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification cs.CV · 2017 · author #5
  15. Progressive Neural Architecture Search cs.CV · 2017 · author #10
  16. XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings cs.CV · 2017 · author #7
  17. Fixing a Broken ELBO cs.LG · 2017 · author #6
  18. Generative Models of Visually Grounded Imagination cs.LG · 2017 · author #4
  19. PixColor: Pixel Recursive Colorization cs.CV · 2017 · author #6
  20. Attention-based Extraction of Structured Information from Street View Imagery cs.CV · 2017 · author #4
  21. Deep Probabilistic Programming stat.ML · 2017 · author #5
  22. Context-aware Captions from Context-agnostic Supervision cs.CV · 2017 · author #3
  23. Towards Accurate Multi-person Pose Estimation in the Wild cs.CV · 2017 · author #7
  24. Deep Metric Learning via Facility Location cs.CV · 2016 · author #4
  25. Deep Variational Information Bottleneck cs.LG · 2016 · author #4
  26. Improved Image Captioning via Policy Gradient optimization of SPIDEr cs.CV · 2016 · author #5
  27. Speed/accuracy trade-offs for modern convolutional object detectors cs.CV · 2016 · author #11
  28. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs cs.CV · 2016 · author #4
  29. Efficient inference in occlusion-aware generative models of images cs.LG · 2015 · author #2
  30. Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform cs.CV · 2015 · author #4
  31. Detecting events and key actors in multi-person videos cs.CV · 2015 · author #5
  32. Generation and Comprehension of Unambiguous Object Descriptions cs.CV · 2015 · author #6
  33. Nonlinear functional mapping of the human brain q-bio.NC · 2015 · author #21
  34. Bayesian Dark Knowledge cs.LG · 2015 · author #3
  35. What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision cs.CL · 2015 · author #6
  36. Probabilistic Label Relation Graphs with Ising Models cs.LG · 2015 · author #3
  37. A Review of Relational Machine Learning for Knowledge Graphs stat.ML · 2015 · author #2
  38. From Data Fusion to Knowledge Fusion cs.DB · 2015 · author #5
  39. TimeMachine: Timeline Generation for Knowledge-Base Entities cs.DB · 2015 · author #3
  40. Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources cs.DB · 2015 · author #3
  41. Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation cs.CV · 2015 · author #3
  42. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs cs.CV · 2014 · author #4
  43. Learning the Structure of Dynamic Probabilistic Networks cs.AI · 2013 · author #2
  44. Loopy Belief Propagation for Approximate Inference: An Empirical Study cs.AI · 2013 · author #1
  45. A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables cs.AI · 2013 · author #1
  46. Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (2012) cs.AI · 2013 · author #2
  47. Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks cs.LG · 2013 · author #3
  48. The Factored Frontier Algorithm for Approximate Inference in DBNs cs.AI · 2013 · author #1
  49. Bayesian structure learning using dynamic programming and MCMC cs.LG · 2012 · author #2
  50. Modeling Discrete Interventional Data using Directed Cyclic Graphical Models stat.ML · 2012 · author #2
  51. Group Sparse Priors for Covariance Estimation stat.ML · 2012 · author #3

Mentions

  • 1612.00410 #4 · arxiv_oai · confidence 0.70 Kevin Murphy

Frequent Coauthors