Kevin Murphy

120 papers A* 21A 9Journal 72Unranked 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Direct Motion Models for Assessing Generated Videos.
CoRR
Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Murphy, João Carreira, Sjoerd van Steenkiste
2025 J jnl
Distributional Diffusion Models with Scoring Rules.
CoRR
Valentin De Bortoli, Alexandre Galashov, J. Swaroop Guntupalli, Guangyao Zhou, Kevin Murphy, Arthur Gretton, Arnaud Doucet
2025 J jnl
Dynamax: A Python package for probabilistic state space modeling with JAX.
J. Open Source Softw.
Scott W. Linderman, Peter G. Chang, Giles Harper-Donnelly, Aleyna Kara, Xinglong Li, Gerardo Duran-Martin, Kevin Murphy
2025 J jnl
Neural USD: An object-centric framework for iterative editing and control.
CoRR
Alejandro Escontrela, Shrinu Kushagra, Sjoerd van Steenkiste, Yulia Rubanova, Aleksander Holynski, Kelsey R. Allen, Kevin Murphy, Thomas Kipf
2025 J jnl
Scalable Generalized Bayesian Online Neural Network Training for Sequential Decision Making.
CoRR
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Álvaro Cartea, Kevin Murphy
2024 J jnl
BONE: a unifying framework for Bayesian online learning in non-stationary environments.
CoRR
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. Shestopaloff, Kevin Murphy
2024 J jnl
Bayesian Online Natural Gradient (BONG).
CoRR
Matt Jones, Peter G. Chang, Kevin Murphy
2024 J jnl
BlackJAX: Composable Bayesian inference in JAX.
CoRR
Alberto Cabezas, Adrien Corenflos, Junpeng Lao, Rémi Louf, Antoine Carnec, Kaustubh Chaudhari, Reuben Cohn-Gordon, Jeremie Coullon, Wei Deng, Sam Duffield, Gerardo Duràn-Martín, Marcin Elantkowski, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov
2024 J jnl
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors.
CoRR
Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, J. Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Guangyao Zhou, Sivaramakrishnan Swaminathan, Miguel Lázaro-Gredilla, Kevin Murphy
2024 J jnl
Diffusion Model Predictive Control.
CoRR
Guangyao Zhou, Sivaramakrishnan Swaminathan, Rajkumar Vasudeva Raju, J. Swaroop Guntupalli, Wolfgang Lehrach, Joseph Ortiz, Antoine Dedieu, Miguel Lázaro-Gredilla, Kevin Murphy
2024 A conf
Don't Be Pessimistic Too Early: Look K Steps Ahead!
AISTATS
Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen
2024 J jnl
Model Predictive Simulation Using Structured Graphical Models and Transformers.
CoRR
Xinghua Lou, Meet Dave, Shrinu Kushagra, Miguel Lázaro-Gredilla, Kevin Murphy
2024 A conf
Model-based Policy Optimization under Approximate Bayesian Inference.
AISTATS
Chaoqi Wang, Yuxin Chen, Kevin Murphy
2024 J jnl
Outlier-robust Kalman Filtering through Generalised Bayes.
CoRR
Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy
2024 J jnl
Towards a Mechanistic Explanation of Diffusion Model Generalization.
CoRR
Matthew Niedoba, Berend Zwartsenberg, Kevin Murphy, Frank Wood
2023 J jnl
Challenges and Perspectives in Deep Generative Modeling (Dagstuhl Seminar 23072).
Dagstuhl Reports
Vincent Fortuin, Yingzhen Li, Kevin Murphy, Stephan Mandt, Laura Manduchi
2023 J jnl
Low-rank extended Kalman filtering for online learning of neural networks from streaming data.
CoRR
Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Murphy
2023 J jnl
Muse: Text-To-Image Generation via Masked Generative Transformers.
CoRR
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
2023 J jnl
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs.
CoRR
Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang
2022 J jnl
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations.
CoRR
Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour
2022 A conf
Efficient Online Bayesian Inference for Neural Bandits.
AISTATS
Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy
2022 J jnl
Language Model Cascades.
CoRR
David Dohan, Winnie Xu, Aitor Lewkowycz, Jacob Austin, David Bieber, Raphael Gontijo Lopes, Yuhuai Wu, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-Dickstein, Kevin Murphy, Charles Sutton
2022 J jnl
Machine Learning on Graphs: A Model and Comprehensive Taxonomy.
J. Mach. Learn. Res.
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
2022 J jnl
Plex: Towards Reliability using Pretrained Large Model Extensions.
CoRR
Dustin Tran, Jeremiah Z. Liu, Michael W. Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, Kelly Buchanan, Kevin Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan
2021 J jnl
Efficient Online Bayesian Inference for Neural Bandits.
CoRR
Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy
2021 — conf
Risk score learning for COVID-19 contact tracing apps.
MLHC
Kevin Murphy, Abhishek Kumar, Stylianos Serghiou
2021 J jnl
Risk score learning for COVID-19 contact tracing apps.
CoRR
Kevin Murphy, Abhishek Kumar, Stelios Serghiou
2021 J jnl
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning.
CoRR
Zachary Nado, Neil Band, Mark Collier, Josip Djolonga, Michael W. Dusenberry, Sebastian Farquhar, Angelos Filos, Marton Havasi, Rodolphe Jenatton, Ghassen Jerfel, Jeremiah Z. Liu, Zelda Mariet, Jeremy Nixon, Shreyas Padhy, Jie Ren, Tim G. J. Rudner, Yeming Wen, Florian Wenzel, Kevin Murphy, D. Sculley, Balaji Lakshminarayanan, Jasper Snoek, Yarin Gal, Dustin Tran
2020 — conf
A view of estimation of distribution algorithms through the lens of expectation-maximization.
GECCO Companion
David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
2020 A conf
Amortized Bayesian Optimization over Discrete Spaces.
UAI
Kevin Swersky, Yulia Rubanova, David Dohan, Kevin Murphy
2020 A* conf
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems.
ICML
Zhe Dong, Bryan A. Seybold, Kevin Murphy, Hung H. Bui
2020 J jnl
Machine Learning on Graphs: A Model and Comprehensive Taxonomy.
CoRR
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
2020 A* conf
Model-based reinforcement learning for biological sequence design.
ICLR
Christof Angermüller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy J. Colwell
2020 A* conf
Population-Based Black-Box Optimization for Biological Sequence Design.
ICML
Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley
2020 J jnl
Population-Based Black-Box Optimization for Biological Sequence Design.
CoRR
Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley
2020 A conf
Regularized Autoencoders via Relaxed Injective Probability Flow.
AISTATS
Abhishek Kumar, Ben Poole, Kevin Murphy
2020 J jnl
Regularized Autoencoders via Relaxed Injective Probability Flow.
CoRR
Abhishek Kumar, Ben Poole, Kevin Murphy
2020 — ch.
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.
Domain Adaptation for Visual Understanding
Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy
2019 J jnl
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization.
CoRR
David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
2019 A* conf
Composing Text and Image for Image Retrieval - an Empirical Odyssey.
CVPR
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays
2019 J jnl
Contrastive Bidirectional Transformer for Temporal Representation Learning.
CoRR
Chen Sun, Fabien Baradel, Kevin Murphy, Cordelia Schmid
2019 A* conf
Diverse Generation for Multi-Agent Sports Games.
CVPR
Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy
2019 — conf
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction.
ICCV Workshops
Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa
2019 J jnl
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction.
CoRR
Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa
2019 A* conf
NAS-Bench-101: Towards Reproducible Neural Architecture Search.
ICML
Chris Ying, Aaron Klein, Eric Christiansen, Esteban Real, Kevin Murphy, Frank Hutter
2019 J jnl
NAS-Bench-101: Towards Reproducible Neural Architecture Search.
CoRR
Chris Ying, Aaron Klein, Esteban Real, Eric Christiansen, Kevin Murphy, Frank Hutter
2019 A* conf
Relational Action Forecasting.
CVPR
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
2019 J jnl
Relational Action Forecasting.
CoRR
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
2019 — conf
Stochastic Prediction of Multi-Agent Interactions from Partial Observations.
ICLR (Poster)
Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy
2019 J jnl
Stochastic Prediction of Multi-Agent Interactions from Partial Observations.
CoRR
Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy
2019 — conf
Unsupervised Discovery of Parts, Structure, and Dynamics.
ICLR (Poster)
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
2019 J jnl
Unsupervised Discovery of Parts, Structure, and Dynamics.
CoRR
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
2019 J jnl
Unsupervised Learning of Object Structure and Dynamics from Videos.
CoRR
Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin Murphy, Honglak Lee
2019 A* conf
VideoBERT: A Joint Model for Video and Language Representation Learning.
ICCV
Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid
2019 J jnl
VideoBERT: A Joint Model for Video and Language Representation Learning.
CoRR
Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid
2018 — conf
Actor-Centric Relation Network.
ECCV (11)
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid
2018 J jnl
Actor-Centric Relation Network.
CoRR
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid
2018 J jnl
Composing Text and Image for Image Retrieval - An Empirical Odyssey.
CoRR
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays
2018 J jnl
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
2018 A* conf
Fixing a Broken ELBO.
ICML
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
2018 — conf
Generative Models of Visually Grounded Imagination.
ICLR (Poster)
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
2018 J jnl
Modeling Uncertainty with Hedged Instance Embedding.
CoRR
Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher
2018 — conf
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model.
ECCV (14)
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
2018 J jnl
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model.
CoRR
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
2018 — conf
Progressive Neural Architecture Search.
ECCV (1)
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
2018 — conf
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification.
ECCV (15)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
2018 — conf
Tracking Emerges by Colorizing Videos.
ECCV (13)
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy
2018 J jnl
Tracking Emerges by Colorizing Videos.
CoRR
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy
2017 J jnl
An Information-Theoretic Analysis of Deep Latent-Variable Models.
CoRR
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
2017 A conf
Attention-Based Extraction of Structured Information from Street View Imagery.
ICDAR
Zbigniew Wojna, Alexander N. Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz
2017 J jnl
Attention-based Extraction of Structured Information from Street View Imagery.
CoRR
Zbigniew Wojna, Alexander N. Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz
2017 A* conf
Context-Aware Captions from Context-Agnostic Supervision.
CVPR
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
2017 J jnl
Context-aware Captions from Context-agnostic Supervision.
CoRR
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
2017 A* conf
Deep Metric Learning via Facility Location.
CVPR
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
2017 — conf
Deep Probabilistic Programming.
ICLR (Poster)
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei
2017 J jnl
Deep Probabilistic Programming.
CoRR
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei
2017 — conf
Deep Variational Information Bottleneck.
ICLR (Poster)
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy
2017 J jnl
Generative Models of Visually Grounded Imagination.
CoRR
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
2017 A* conf
Improved Image Captioning via Policy Gradient optimization of SPIDEr.
ICCV
Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy
2017 A conf
PixColor: Pixel Recursive Colorization.
BMVC
Sergio Guadarrama, Ryan Dahl, David Bieber, Jonathon Shlens, Mohammad Norouzi, Kevin Murphy
2017 J jnl
PixColor: Pixel Recursive Colorization.
CoRR
Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy
2017 J jnl
Progressive Neural Architecture Search.
CoRR
Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
2017 J jnl
Rethinking Spatiotemporal Feature Learning For Video Understanding.
CoRR
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
2017 A* conf
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors.
CVPR
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
2017 A* conf
Towards Accurate Multi-person Pose Estimation in the Wild.
CVPR
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy
2017 J jnl
XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings.
CoRR
Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy
2016 J jnl
A Review of Relational Machine Learning for Knowledge Graphs.
Proc. IEEE
Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
2016 J jnl
Deep Variational Information Bottleneck.
CoRR
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy
2016 J jnl
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
CoRR
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
2016 A* conf
Detecting Events and Key Actors in Multi-person Videos.
CVPR
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
2016 A* conf
Generation and Comprehension of Unambiguous Object Descriptions.
CVPR
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
2016 J jnl
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources.
IEEE Data Eng. Bull.
Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
2016 J jnl
Learnable Structured Clustering Framework for Deep Metric Learning.
CoRR
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
2016 J jnl
Optimization of image description metrics using policy gradient methods.
CoRR
Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy
2016 A* conf
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform.
CVPR
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
2016 J jnl
Speed/accuracy trade-offs for modern convolutional object detectors.
CoRR
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
2015 J jnl
A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction.
CoRR
Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
2015 J jnl
Bayesian Dark Knowledge.
CoRR
Anoop Korattikara Balan, Vivek Rathod, Kevin Murphy, Max Welling
2015 J jnl
Detecting events and key actors in multi-person videos.
CoRR
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
2015 J jnl
Efficient inference in occlusion-aware generative models of images.
CoRR
Jonathan Huang, Kevin Murphy
2015 J jnl
From Data Fusion to Knowledge Fusion.
CoRR
Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang
2015 J jnl
Generation and Comprehension of Unambiguous Object Descriptions.
CoRR
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
2015 A* conf
Im2Calories: Towards an Automated Mobile Vision Food Diary.
ICCV
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
2015 J jnl
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources.
CoRR
Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
2015 J jnl
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources.
Proc. VLDB Endow.
Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
2015 J jnl
Probabilistic Label Relation Graphs with Ising Models.
CoRR
Nan Ding, Jia Deng, Kevin Murphy, Hartmut Neven
2015 — conf
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.
ICLR (Poster)
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
2015 J jnl
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform.
CoRR
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
2015 A* conf
TimeMachine: Timeline Generation for Knowledge-Base Entities.
KDD
Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang
2015 J jnl
TimeMachine: Timeline Generation for Knowledge-Base Entities.
CoRR
Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang
2015 J jnl
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation.
CoRR
George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille
2015 — conf
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.
HLT-NAACL
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy
2015 J jnl
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.
CoRR
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy
2014 A conf
Canonicalizing Open Knowledge Bases.
CIKM
Luis Galárraga, Geremy Heitz, Kevin Murphy, Fabian M. Suchanek
2014 J jnl
From Data Fusion to Knowledge Fusion.
Proc. VLDB Endow.
Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang
2014 A* conf
Knowledge base completion via search-based question answering.
WWW
Robert West, Evgeniy Gabrilovich, Kevin Murphy, Shaohua Sun, Rahul Gupta, Dekang Lin
2014 A* conf
Knowledge vault: a web-scale approach to probabilistic knowledge fusion.
KDD
Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang
2014 — conf
Large-Scale Object Classification Using Label Relation Graphs.
ECCV (1)
Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam
2013 A conf
From big data to big knowledge.
CIKM
Kevin Murphy
2001 — ch.
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.
Sequential Monte Carlo Methods in Practice
Kevin Murphy, Stuart Russell