Murphy, Kevin

40 publications

NeurIPS 2024 Bayesian Online Natural Gradient (BONG) Matt Jones, Peter Chang, Kevin Murphy

NeurIPS 2024 DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, J. Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Guangyao Zhou, Sivaramakrishnan Swaminathan, Miguel Lázaro-Gredilla, Kevin Murphy

AISTATS 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen

NeurIPS 2024 EM Distillation for One-Step Diffusion Models Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Murphy, Tim Salimans, Ben Poole, Ruiqi Gao

AISTATS 2024 Model-Based Policy Optimization Under Approximate Bayesian Inference Chaoqi Wang, Yuxin Chen, Kevin Murphy

AISTATS 2022 Efficient Online Bayesian Inference for Neural Bandits Gerardo Duran-Martin, Aleyna Kara, Kevin Murphy

JMLR 2022 Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy

MLHC 2021 Risk Score Learning for COVID-19 Contact Tracing Apps Kevin Murphy, Abhishek Kumar, Stylianos Serghiou

UAI 2020 Amortized Bayesian Optimization over Discrete Spaces Kevin Swersky, Yulia Rubanova, David Dohan, Kevin Murphy

ICML 2020 Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong, Bryan Seybold, Kevin Murphy, Hung Bui

ICLR 2020 Model-Based Reinforcement Learning for Biological Sequence Design Christof Angermueller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy Colwell

ICML 2020 Population-Based Black-Box Optimization for Biological Sequence Design Christof Angermueller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy Colwell, D Sculley

AISTATS 2020 Regularized Autoencoders via Relaxed Injective Probability Flow Abhishek Kumar, Ben Poole, Kevin Murphy

ICCVW 2019 Floors Are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction Steven Hickson, Karthik Raveendran, Alireza Fathi, Kevin Murphy, Irfan A. Essa

ICML 2019 NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying, Aaron Klein, Eric Christiansen, Esteban Real, Kevin Murphy, Frank Hutter

ICLR 2019 Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun, Per Karlsson, Jiajun Wu, Joshua B Tenenbaum, Kevin Murphy

ICLR 2019 Unsupervised Discovery of Parts, Structure, and Dynamics Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ECCV 2018 Actor-Centric Relation Network Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid

ICML 2018 Fixing a Broken ELBO Alexander Alemi, Ben Poole, Ian Fischer, Joshua Dillon, Rif A. Saurous, Kevin Murphy

ICLR 2018 Generative Models of Visually Grounded Imagination Ramakrishna Vedantam, Ian Fischer, Jonathan Huang, Kevin Murphy

ECCV 2018 PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-up, Part-Based, Geometric Embedding Model George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy

ECCV 2018 Progressive Neural Architecture Search Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy

ECCV 2018 Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-Offs in Video Classification Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, Kevin Murphy

ECCV 2018 Tracking Emerges by Colorizing Videos Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy

CVPR 2017 Context-Aware Captions from Context-Agnostic Supervision Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik

CVPR 2017 Deep Metric Learning via Facility Location Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy

ICLR 2017 Deep Probabilistic Programming Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei

ICLR 2017 Deep Variational Information Bottleneck Alexander A. Alemi, Ian Fischer, Joshua V. Dillon, Kevin Murphy

ICCV 2017 Improved Image Captioning via Policy Gradient Optimization of SPIDEr Siqi Liu, Zhenhai Zhu, Ning Ye, Sergio Guadarrama, Kevin Murphy

CVPR 2017 Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

CVPR 2017 Towards Accurate Multi-Person Pose Estimation in the Wild George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy

CVPR 2016 Detecting Events and Key Actors in Multi-Person Videos Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

CVPR 2016 Generation and Comprehension of Unambiguous Object Descriptions Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy

CVPR 2016 Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille

ICLR 2015 Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille

ECCV 2014 Large-Scale Object Classification Using Label Relation Graphs Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy, Samy Bengio, Yuan Li, Hartmut Neven, Hartwig Adam

AISTATS 2012 A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models Mohammad Khan, Shakir Mohamed, Benjamin Marlin, Kevin Murphy

AISTATS 2010 Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials Mark Schmidt, Kevin Murphy

AISTATS 2009 Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm Mark Schmidt, Ewout Berg, Michael Friedlander, Kevin Murphy

AISTATS 2007 Exact Bayesian Structure Learning from Uncertain Interventions Daniel Eaton, Kevin Murphy