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ORCIDKevin Murphy 0002
Kevin P. Murphy – Kevin Patrick Murphy
Person information
- affiliation: Google Research, Mountain View, CA, USA
- affiliation (former): Department of Computer Science, University of British Columbia
Other persons with the same name
- Kevin Murphy — disambiguation page
- Kevin Murphy 0001
![[0000-0002-6516-313X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6516-313X")
— Cardiff University Brain Research Imaging Centre, UK - Kevin Murphy 0003 — NASA Goddard Space Flight Center
- Kevin Murphy 0004 — Sligo General Hospital, Department of Neurology, Ireland
- Kevin Murphy 0005 — Center for Biomedical Informatics, The Children's Hospital of Philadelphia
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2020 – today
- 2024
[c99]Gerardo Duran-Martin, Matías Altamirano, Alexander Y. Shestopaloff, Leandro Sánchez-Betancourt, Jeremias Knoblauch, Matt Jones, François-Xavier Briol, Kevin Patrick Murphy:
Outlier-robust Kalman Filtering through Generalised Bayes. ICML 2024- [i68]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 abs/2405.05646 (2024) - [i67]Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao:
EM Distillation for One-step Diffusion Models. CoRR abs/2405.16852 (2024) - [i66]Matt Jones, Peter G. Chang, Kevin Murphy:
Bayesian Online Natural Gradient (BONG). CoRR abs/2405.19681 (2024) - [i65]Miguel Lázaro-Gredilla, Li Yang Ku, Kevin P. Murphy, Dileep George:
What type of inference is planning? CoRR abs/2406.17863 (2024) - 2023
- [c98]Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Patrick Murphy:
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoLLAs 2023: 1025-1071 - [c97]Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML 2023: 4055-4075 - [c96]Qingyao Sun, Kevin P. Murphy, Sayna Ebrahimi, Alexander D'Amour:
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations. NeurIPS 2023 - [c95]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. NeurIPS 2023 - [i64]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 abs/2301.00704 (2023) - [i63]Peter G. Chang, Gerardo Duràn-Martín, Alexander Y. Shestopaloff, Matt Jones, Kevin Murphy:
Low-rank extended Kalman filtering for online learning of neural networks from streaming data. CoRR abs/2305.19535 (2023) - [i62]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 abs/2306.17842 (2023) - 2022
- [j16]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: 89:1-89:64 (2022) - [i61]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:
Plex: Towards Reliability using Pretrained Large Model Extensions. CoRR abs/2207.07411 (2022) - [i60]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 abs/2207.10342 (2022) - [i59]Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour:
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations. CoRR abs/2211.15646 (2022) - 2021
- [c94]Kevin Murphy, Abhishek Kumar, Stylianos Serghiou:
Risk score learning for COVID-19 contact tracing apps. MLHC 2021: 373-390 - [i58]Kevin Murphy, Abhishek Kumar, Stelios Serghiou:
Risk score learning for COVID-19 contact tracing apps. CoRR abs/2104.08415 (2021) - [i57]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:
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning. CoRR abs/2106.04015 (2021) - 2020
- [c93]Abhishek Kumar, Ben Poole, Kevin Murphy:
Regularized Autoencoders via Relaxed Injective Probability Flow. AISTATS 2020: 4292-4301 - [c92]Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann:
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. CVPR 2020: 10505-10515 - [c91]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: 189-190 - [c90]Christof Angermüller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy J. Colwell:
Model-based reinforcement learning for biological sequence design. ICLR 2020 - [c89]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. ICML 2020: 324-334 - [c88]Zhe Dong, Bryan A. Seybold, Kevin Murphy, Hung H. Bui:
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems. ICML 2020: 2638-2647 - [c87]Kevin Swersky, Yulia Rubanova, David Dohan, Kevin Murphy:
Amortized Bayesian Optimization over Discrete Spaces. UAI 2020: 769-778 - [p3]Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy:
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings. Domain Adaptation for Visual Understanding 2020: 33-49 - [i56]Abhishek Kumar, Ben Poole, Kevin Murphy:
Regularized Autoencoders via Relaxed Injective Probability Flow. CoRR abs/2002.08927 (2020) - [i55]Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy:
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. CoRR abs/2005.03675 (2020) - [i54]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. CoRR abs/2006.03227 (2020)
2010 – 2019
- 2019
- [c86]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CVPR 2019: 273-283 - [c85]Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, Kevin Murphy:
Diverse Generation for Multi-Agent Sports Games. CVPR 2019: 4610-4619 - [c84]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: 6439-6448 - [c83]Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. ICCV 2019: 7463-7472 - [c82]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: 4065-4074 - [c81]Seong Joon Oh, Kevin P. Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher:
Modeling Uncertainty with Hedged Instance Embeddings. ICLR (Poster) 2019 - [c80]Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy:
Stochastic Prediction of Multi-Agent Interactions from Partial Observations. ICLR (Poster) 2019 - [c79]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 - [c78]Chris Ying, Aaron Klein, Eric Christiansen, Esteban Real, Kevin Murphy, Frank Hutter:
NAS-Bench-101: Towards Reproducible Neural Architecture Search. ICML 2019: 7105-7114 - [c77]Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin P. Murphy, Honglak Lee:
Unsupervised learning of object structure and dynamics from videos. NeurIPS 2019: 92-102 - [i53]Chris Ying, Aaron Klein, Esteban Real, Eric Christiansen, Kevin Murphy, Frank Hutter:
NAS-Bench-101: Towards Reproducible Neural Architecture Search. CoRR abs/1902.09635 (2019) - [i52]Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy:
Stochastic Prediction of Multi-Agent Interactions from Partial Observations. CoRR abs/1902.09641 (2019) - [i51]Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of Parts, Structure, and Dynamics. CoRR abs/1903.05136 (2019) - [i50]Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, Cordelia Schmid:
VideoBERT: A Joint Model for Video and Language Representation Learning. CoRR abs/1904.01766 (2019) - [i49]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CoRR abs/1904.04231 (2019) - [i48]David H. Brookes, Akosua Busia, Clara Fannjiang, Kevin Murphy, Jennifer Listgarten:
A view of Estimation of Distribution Algorithms through the lens of Expectation-Maximization. CoRR abs/1905.10474 (2019) - [i47]Chen Sun, Fabien Baradel, Kevin Murphy, Cordelia Schmid:
Contrastive Bidirectional Transformer for Temporal Representation Learning. CoRR abs/1906.05743 (2019) - [i46]Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa:
Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction. CoRR abs/1906.06792 (2019) - [i45]Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin Murphy, Honglak Lee:
Unsupervised Learning of Object Structure and Dynamics from Videos. CoRR abs/1906.07889 (2019) - [i44]Zhe Dong, Bryan A. Seybold, Kevin P. Murphy, Hung H. Bui:
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems. CoRR abs/1910.09588 (2019) - [i43]Junwei Liang, Lu Jiang, Kevin P. Murphy, Ting Yu, Alexander G. Hauptmann:
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction. CoRR abs/1912.06445 (2019) - 2018
- [j15]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): 834-848 (2018) - [c76]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: 19-35 - [c75]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: 282-299 - [c74]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification. ECCV (15) 2018: 318-335 - [c73]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. ECCV (11) 2018: 335-351 - [c72]Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy:
Tracking Emerges by Colorizing Videos. ECCV (13) 2018: 402-419 - [c71]Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy:
Generative Models of Visually Grounded Imagination. ICLR (Poster) 2018 - [c70]Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy:
Fixing a Broken ELBO. ICML 2018: 159-168 - [i42]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 abs/1803.08225 (2018) - [i41]Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy:
Tracking Emerges by Colorizing Videos. CoRR abs/1806.09594 (2018) - [i40]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. CoRR abs/1807.10982 (2018) - [i39]Seong Joon Oh, Kevin Murphy, Jiyan Pan, Joseph Roth, Florian Schroff, Andrew C. Gallagher:
Modeling Uncertainty with Hedged Instance Embedding. CoRR abs/1810.00319 (2018) - [i38]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 abs/1812.07119 (2018) - 2017
- [c69]Sergio Guadarrama, Ryan Dahl, David Bieber, Jonathon Shlens, Mohammad Norouzi, Kevin Murphy:
PixColor: Pixel Recursive Colorization. BMVC 2017 - [c68]Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik:
Context-Aware Captions from Context-Agnostic Supervision. CVPR 2017: 1070-1079 - [c67]Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy:
Deep Metric Learning via Facility Location. CVPR 2017: 2206-2214 - [c66]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: 3296-3297 - [c65]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: 3711-3719 - [c64]Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy:
Improved Image Captioning via Policy Gradient optimization of SPIDEr. ICCV 2017: 873-881 - [c63]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: 844-850 - [c62]Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy:
Deep Variational Information Bottleneck. ICLR (Poster) 2017 - [c61]Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei:
Deep Probabilistic Programming. ICLR (Poster) 2017 - [i37]George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin P. Murphy:
Towards Accurate Multi-person Pose Estimation in the Wild. CoRR abs/1701.01779 (2017) - [i36]Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik:
Context-aware Captions from Context-agnostic Supervision. CoRR abs/1701.02870 (2017) - [i35]Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei:
Deep Probabilistic Programming. CoRR abs/1701.03757 (2017) - [i34]Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang, Hyun Oh Song, Sergio Guadarrama, Kevin P. Murphy:
Semantic Instance Segmentation via Deep Metric Learning. CoRR abs/1703.10277 (2017) - [i33]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 abs/1704.03549 (2017) - [i32]Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, Kevin Murphy:
PixColor: Pixel Recursive Colorization. CoRR abs/1705.07208 (2017) - [i31]Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy:
Generative Models of Visually Grounded Imagination. CoRR abs/1705.10762 (2017) - [i30]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 abs/1711.00464 (2017) - [i29]Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy:
XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings. CoRR abs/1711.05139 (2017) - [i28]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 abs/1712.00559 (2017) - [i27]Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy:
Rethinking Spatiotemporal Feature Learning For Video Understanding. CoRR abs/1712.04851 (2017) - 2016
- [j14]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): 106-117 (2016) - [j13]Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich:
A Review of Relational Machine Learning for Knowledge Graphs. Proc. IEEE 104(1): 11-33 (2016) - [c60]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CVPR 2016: 11-20 - [c59]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: 3043-3053 - [c58]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: 4545-4554 - [i26]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 abs/1606.00915 (2016) - [i25]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 abs/1611.10012 (2016) - [i24]Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy:
Optimization of image description metrics using policy gradient methods. CoRR abs/1612.00370 (2016) - [i23]Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy:
Deep Variational Information Bottleneck. CoRR abs/1612.00410 (2016) - [i22]Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy:
Learnable Structured Clustering Framework for Deep Metric Learning. CoRR abs/1612.01213 (2016) - 2015
- [j12]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): 938-949 (2015) - [c57]Nan Ding, Jia Deng, Kevin P. Murphy, Hartmut Neven:
Probabilistic Label Relation Graphs with Ising Models. ICCV 2015: 1161-1169 - [c56]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: 1233-1241 - [c55]George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille:
Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation. ICCV 2015: 1742-1750 - [c54]Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang:
TimeMachine: Timeline Generation for Knowledge-Base Entities. KDD 2015: 19-28 - [c53]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: 143-152 - [c52]Anoop Korattikara Balan, Vivek Rathod, Kevin P. Murphy, Max Welling:
Bayesian dark knowledge. NIPS 2015: 3438-3446 - [c51]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 - [i21]George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille:
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. CoRR abs/1502.02734 (2015) - [i20]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 abs/1502.03519 (2015) - [i19]Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang:
TimeMachine: Timeline Generation for Knowledge-Base Entities. CoRR abs/1502.04662 (2015) - [i18]Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang:
From Data Fusion to Knowledge Fusion. CoRR abs/1503.00302 (2015) - [i17]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 abs/1503.00759 (2015) - [i16]Nan Ding, Jia Deng, Kevin Murphy, Hartmut Neven:
Probabilistic Label Relation Graphs with Ising Models. CoRR abs/1503.01428 (2015) - [i15]Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy:
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision. CoRR abs/1503.01558 (2015) - [i14]Anoop Korattikara Balan, Vivek Rathod, Kevin Murphy, Max Welling:
Bayesian Dark Knowledge. CoRR abs/1506.04416 (2015) - [i13]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CoRR abs/1511.02283 (2015) - [i12]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 abs/1511.02917 (2015) - [i11]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 abs/1511.03328 (2015) - [i10]Jonathan Huang, Kevin Murphy:
Efficient inference in occlusion-aware generative models of images. CoRR abs/1511.06362 (2015) - 2014
- [j11]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): 881-892 (2014) - [c50]Luis Galárraga, Geremy Heitz, Kevin Murphy, Fabian M. Suchanek:
Canonicalizing Open Knowledge Bases. CIKM 2014: 1679-1688 - [c49]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: 48-64 - [c48]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: 601-610 - [c47]Robert West, Evgeniy Gabrilovich, Kevin Murphy, Shaohua Sun, Rahul Gupta, Dekang Lin:
Knowledge base completion via search-based question answering. WWW 2014: 515-526 - 2013
- [j10]