Kevin Murphy

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 69

Top Topics

Neural Architecture

Policy Gradient

Top Venues

Publications

Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Murphy
Outlier-robust Kalman Filtering through Generalised Bayes. CoRR (2024)
Matt Jones, Peter G. Chang, Kevin Murphy
Bayesian Online Natural Gradient (BONG). CoRR (2024)
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
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. CoRR (2023)
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
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR (2023)
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
Language Model Cascades. CoRR (2022)
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. J. Mach. Learn. Res. 23 (2022)
Kevin Murphy, Abhishek Kumar, Stylianos Serghiou
Risk score learning for COVID-19 contact tracing apps. MLHC (2021)
Kevin Murphy, Abhishek Kumar, Stelios Serghiou
Risk score learning for COVID-19 contact tracing apps. CoRR (2021)
David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten
A view of estimation of distribution algorithms through the lens of expectation-maximization. GECCO Companion (2020)
Zhe Dong, Bryan A. Seybold, Kevin Murphy, Hung H. Bui
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems. ICML (2020)
Abhishek Kumar, Ben Poole, Kevin Murphy
Regularized Autoencoders via Relaxed Injective Probability Flow. CoRR (2020)
Abhishek Kumar, Ben Poole, Kevin Murphy
Regularized Autoencoders via Relaxed Injective Probability Flow. AISTATS (2020)
Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. CoRR (2020)
Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. ICCV Workshops (2019)
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Unsupervised Discovery of Parts, Structure, and Dynamics. ICLR (Poster) (2019)
Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid
VideoBERT: A Joint Model for Video and Language Representation Learning. ICCV (2019)
Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy
Stochastic Prediction of Multi-Agent Interactions from Partial Observations. ICLR (Poster) (2019)
Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. CoRR (2019)
Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy
Stochastic Prediction of Multi-Agent Interactions from Partial Observations. CoRR (2019)
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
Relational Action Forecasting. CoRR (2019)
Chris Ying, Aaron Klein, Eric Christiansen, Esteban Real, Kevin Murphy, Frank Hutter
NAS-Bench-101: Towards Reproducible Neural Architecture Search. ICML (2019)
Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin Murphy, Honglak Lee
Unsupervised Learning of Object Structure and Dynamics from Videos. CoRR (2019)
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Unsupervised Discovery of Parts, Structure, and Dynamics. CoRR (2019)
Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid
VideoBERT: A Joint Model for Video and Language Representation Learning. CoRR (2019)
Chris Ying, Aaron Klein, Esteban Real, Eric Christiansen, Kevin Murphy, Frank Hutter
NAS-Bench-101: Towards Reproducible Neural Architecture Search. CoRR (2019)
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays
Composing Text and Image for Image Retrieval - an Empirical Odyssey. CVPR (2019)
Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy
Diverse Generation for Multi-Agent Sports Games. CVPR (2019)
Chen Sun, Fabien Baradel, Kevin Murphy, Cordelia Schmid
Contrastive Bidirectional Transformer for Temporal Representation Learning. CoRR (2019)
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
Relational Action Forecasting. CVPR (2019)
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
Fixing a Broken ELBO. ICML (2018)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. ECCV (15) (2018)
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays
Composing Text and Image for Image Retrieval - An Empirical Odyssey. CoRR (2018)
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid
Actor-Centric Relation Network. CoRR (2018)
Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid
Actor-Centric Relation Network. ECCV (11) (2018)
Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher
Modeling Uncertainty with Hedged Instance Embedding. CoRR (2018)
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. IEEE Trans. Pattern Anal. Mach. Intell. 40 (4) (2018)
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy
Tracking Emerges by Colorizing Videos. ECCV (13) (2018)
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. CoRR (2018)
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. ECCV (14) (2018)
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy
Tracking Emerges by Colorizing Videos. CoRR (2018)
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
Generative Models of Visually Grounded Imagination. ICLR (Poster) (2018)
Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
Progressive Neural Architecture Search. ECCV (1) (2018)
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy
Deep Variational Information Bottleneck. ICLR (Poster) (2017)
Zbigniew Wojna, Alexander N. Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz
Attention-based Extraction of Structured Information from Street View Imagery. CoRR (2017)
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei
Deep Probabilistic Programming. ICLR (Poster) (2017)
Sergio Guadarrama, Ryan Dahl, David Bieber, Jonathon Shlens, Mohammad Norouzi, Kevin Murphy
PixColor: Pixel Recursive Colorization. BMVC (2017)
Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy
Rethinking Spatiotemporal Feature Learning For Video Understanding. CoRR (2017)
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
Context-Aware Captions from Context-Agnostic Supervision. CVPR (2017)
Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy
Generative Models of Visually Grounded Imagination. CoRR (2017)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR (2017)
Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
Progressive Neural Architecture Search. CoRR (2017)
Zbigniew Wojna, Alexander N. Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz
Attention-Based Extraction of Structured Information from Street View Imagery. ICDAR (2017)
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei
Deep Probabilistic Programming. CoRR (2017)
Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy
Improved Image Captioning via Policy Gradient optimization of SPIDEr. ICCV (2017)
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy
Towards Accurate Multi-person Pose Estimation in the Wild. CVPR (2017)
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
An Information-Theoretic Analysis of Deep Latent-Variable Models. CoRR (2017)
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
Context-aware Captions from Context-agnostic Supervision. CoRR (2017)
Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy
PixColor: Pixel Recursive Colorization. CoRR (2017)
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
Deep Metric Learning via Facility Location. CVPR (2017)
Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy
Optimization of image description metrics using policy gradient methods. CoRR (2016)
Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy
Deep Variational Information Bottleneck. CoRR (2016)
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR (2016)
Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
Learnable Structured Clustering Framework for Deep Metric Learning. CoRR (2016)
Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. IEEE Data Eng. Bull. 39 (2) (2016)
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. CoRR (2016)
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
Detecting Events and Key Actors in Multi-person Videos. CVPR (2016)
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
Generation and Comprehension of Unambiguous Object Descriptions. CVPR (2016)
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CVPR (2016)
Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
A Review of Relational Machine Learning for Knowledge Graphs. Proc. IEEE 104 (1) (2016)
Nan Ding, Jia Deng, Kevin Murphy, Hartmut Neven
Probabilistic Label Relation Graphs with Ising Models. CoRR (2015)
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
Generation and Comprehension of Unambiguous Object Descriptions. CoRR (2015)
Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. Proc. VLDB Endow. 8 (9) (2015)
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CoRR (2015)
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR (2015)
George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. CoRR (2015)
Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang
TimeMachine: Timeline Generation for Knowledge-Base Entities. KDD (2015)
Anoop Korattikara Balan, Vivek Rathod, Kevin Murphy, Max Welling
Bayesian Dark Knowledge. CoRR (2015)
Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang
From Data Fusion to Knowledge Fusion. CoRR (2015)
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. ICLR (Poster) (2015)
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV (2015)
Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang
TimeMachine: Timeline Generation for Knowledge-Base Entities. CoRR (2015)
Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction. CoRR (2015)
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
Detecting events and key actors in multi-person videos. CoRR (2015)
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. HLT-NAACL (2015)
Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. CoRR (2015)
Jonathan Huang, Kevin Murphy
Efficient inference in occlusion-aware generative models of images. CoRR (2015)
Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang
Knowledge vault: a web-scale approach to probabilistic knowledge fusion. KDD (2014)
Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang
From Data Fusion to Knowledge Fusion. Proc. VLDB Endow. 7 (10) (2014)
Robert West, Evgeniy Gabrilovich, Kevin Murphy, Shaohua Sun, Rahul Gupta, Dekang Lin
Knowledge base completion via search-based question answering. WWW (2014)
Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam
Large-Scale Object Classification Using Label Relation Graphs. ECCV (1) (2014)
Luis Galárraga, Geremy Heitz, Kevin Murphy, Fabian M. Suchanek
Canonicalizing Open Knowledge Bases. CIKM (2014)
Kevin Murphy
From big data to big knowledge. CIKM (2013)