Michael Isard

81 papers A* 16A 8B 1C 2Journal 23Unranked 29
YearRankTypeTitle / Venue / Authors
2024 J jnl
Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond.
Commun. ACM
Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel
2024 J jnl
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
CoRR
Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.
2023 J jnl
PaLM: Scaling Language Modeling with Pathways.
J. Mach. Learn. Res.
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
2022 J jnl
PaLM: Scaling Language Modeling with Pathways.
CoRR
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
2022 — conf
Pathways: Asynchronous Distributed Dataflow for ML.
MLSys
Paul Barham, Aakanksha Chowdhery, Jeff Dean, Sanjay Ghemawat, Steven Hand, Dan Hurt, Michael Isard, Hyeontaek Lim, Ruoming Pang, Sudip Roy, Brennan Saeta, Parker Schuh, Ryan Sepassi, Laurent El Shafey, Chandramohan A. Thekkath, Yonghui Wu
2022 J jnl
Pathways: Asynchronous Distributed Dataflow for ML.
CoRR
Paul Barham, Aakanksha Chowdhery, Jeff Dean, Sanjay Ghemawat, Steven Hand, Dan Hurt, Michael Isard, Hyeontaek Lim, Ruoming Pang, Sudip Roy, Brennan Saeta, Parker Schuh, Ryan Sepassi, Laurent El Shafey, Chandramohan A. Thekkath, Yonghui Wu
2021 — conf
Falkirk Wheel: Rollback Recovery for Dataflow Systems.
SoCC
Ionel Gog, Michael Isard, Martín Abadi
2020 A* conf
Learning-based Memory Allocation for C++ Server Workloads.
ASPLOS
Martin Maas, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, Colin Raffel
2019 A conf
Machine Learning Systems are Stuck in a Rut.
HotOS
Paul Barham, Michael Isard
2018 J jnl
Dynamic Control Flow in Large-Scale Machine Learning.
CoRR
Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng
2018 A conf
Dynamic control flow in large-scale machine learning.
EuroSys
Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng
2017 — conf
A computational model for TensorFlow: an introduction.
MAPL@PLDI
Martín Abadi, Michael Isard, Derek Gordon Murray
2016 J jnl
Incremental, iterative data processing with timely dataflow.
Commun. ACM
Derek Gordon Murray, Frank McSherry, Michael Isard, Rebecca Isaacs, Paul Barham, Martín Abadi
2016 A* conf
TensorFlow: A System for Large-Scale Machine Learning.
OSDI
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2016 J jnl
TensorFlow: A system for large-scale machine learning.
CoRR
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang
2016 J jnl
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2015 A conf
Broom: Sweeping Out Garbage Collection from Big Data Systems.
HotOS
Ionel Gog, Jana Giceva, Malte Schwarzkopf, Kapil Vaswani, Dimitrios Vytiniotis, Ganesan Ramalingam, Manuel Costa, Derek Gordon Murray, Steven Hand, Michael Isard
2015 J jnl
Falkirk Wheel: Rollback Recovery for Dataflow Systems.
CoRR
Michael Isard, Martín Abadi
2015 — conf
On the Flow of Data, Information, and Time.
POST
Martín Abadi, Michael Isard
2015 A conf
Scalability! But at what COST?
HotOS
Frank McSherry, Michael Isard, Derek Gordon Murray
2015 C conf
Timely Dataflow: A Model.
FORTE
Martín Abadi, Michael Isard
2015 — conf
Timely Rollback: Specification and Verification.
NFM
Martín Abadi, Michael Isard
2014 J jnl
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics.
Int. J. Comput. Vis.
Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik
2013 A conf
Differential Dataflow.
CIDR
Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard
2013 A* conf
Naiad: a timely dataflow system.
SOSP
Derek Gordon Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martín Abadi
2013 A conf
Optimus: a dynamic rewriting framework for data-parallel execution plans.
EuroSys
Qifa Ke, Michael Isard, Yuan Yu
2012 J jnl
A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics
CoRR
Yunchao Gong, Qifa Ke, Michael Isard, Svetlana Lazebnik
2012 J jnl
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation.
Int. J. Comput. Vis.
Leonid Sigal, Michael Isard, Horst W. Haussecker, Michael J. Black
2011 — conf
SPECTRE: speculation to hide communication latency.
APSys
Jean-Philippe Martin, Christopher J. Rossbach, Michael Isard
2011 J jnl
Semantics of transactional memory and automatic mutual exclusion.
ACM Trans. Program. Lang. Syst.
Martín Abadi, Andrew Birrell, Tim Harris, Michael Isard
2011 A* conf
Steno: automatic optimization of declarative queries.
PLDI
Derek Gordon Murray, Michael Isard, Yuan Yu
2011 — conf
TidyFS: A Simple and Small Distributed File System.
USENIX ATC
Dennis Fetterly, Maya Haridasan, Michael Isard, Swaminathan Sundararaman
2010 — conf
Descriptor Learning for Efficient Retrieval.
ECCV (3)
James Philbin, Michael Isard, Josef Sivic, Andrew Zisserman
2010 J jnl
Nonparametric belief propagation.
Commun. ACM
Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky
2010 — conf
Partition Min-Hash for Partial Duplicate Image Discovery.
ECCV (1)
David C. Lee, Qifa Ke, Michael Isard
2009 A* conf
Bundling features for large scale partial-duplicate web image search.
CVPR
Zhong Wu, Qifa Ke, Michael Isard, Jian Sun
2009 A* conf
Distributed aggregation for data-parallel computing: interfaces and implementations.
SOSP
Yuan Yu, Pradeep Kumar Gunda, Michael Isard
2009 — conf
Distributed data-parallel computing using a high-level programming language.
SIGMOD Conference
Michael Isard, Yuan Yu
2009 — conf
DryadInc: Reusing Work in Large-scale Computations.
HotCloud
Lucian Popa, Mihai Budiu, Yuan Yu, Michael Isard
2009 B conf
Implementation and Use of Transactional Memory with Dynamic Separation.
CC
Martín Abadi, Andrew Birrell, Tim Harris, Johnson Hsieh, Michael Isard
2009 A* conf
Quincy: fair scheduling for distributed computing clusters.
SOSP
Michael Isard, Vijayan Prabhakaran, Jon Currey, Udi Wieder, Kunal Talwar, Andrew V. Goldberg
2008 — conf
Continuously-adaptive discretization for message-passing algorithms.
NIPS
Michael Isard, John MacCormick, Kannan Achan
2008 A* conf
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language.
OSDI
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Budiu, Úlfar Erlingsson, Pradeep Kumar Gunda, Jon Currey
2008 A* conf
Lost in quantization: Improving particular object retrieval in large scale image databases.
CVPR
James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman
2008 A* conf
Semantics of transactional memory and automatic mutual exclusion.
POPL
Martín Abadi, Andrew Birrell, Tim Harris, Michael Isard
2007 J jnl
A design for high-performance flash disks.
ACM SIGOPS Oper. Syst. Rev.
Andrew Birrell, Michael Isard, Chuck Thacker, Ted Wobber
2007 A conf
Automatic Mutual Exclusion.
HotOS
Michael Isard, Andrew Birrell
2007 J jnl
Autopilot: automatic data center management.
ACM SIGOPS Oper. Syst. Rev.
Michael Isard
2007 A conf
Dryad: distributed data-parallel programs from sequential building blocks.
EuroSys
Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrell, Dennis Fetterly
2007 A* conf
Object retrieval with large vocabularies and fast spatial matching.
CVPR
James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, Andrew Zisserman
2007 — conf
Scalable near identical image and shot detection.
CIVR
Ondrej Chum, James Philbin, Michael Isard, Andrew Zisserman
2007 A* conf
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval.
ICCV
Ondrej Chum, James Philbin, Josef Sivic, Michael Isard, Andrew Zisserman
2006 — conf
Dense Motion and Disparity Estimation Via Loopy Belief Propagation.
ACCV (2)
Michael Isard, John MacCormick
2005 — conf
Estimating Disparity and Occlusions in Stereo Video Sequences.
CVPR (2)
Oliver Williams, Michael Isard, John MacCormick
2004 — conf
3D Human Limb Detection using Space Carving and Multi-View Eigen Models.
CVPR Workshops
Sidharth Bhatia, Leonid Sigal, Michael Isard, Michael J. Black
2004 — conf
Tracking Loose-Limbed People.
CVPR (1)
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michael J. Black, Michael Isard
2003 — conf
A Cooperative Internet Backup Scheme.
USENIX ATC, General Track
Mark Lillibridge, Sameh Elnikety, Andrew Birrell, Michael Burrows, Michael Isard
2003 — conf
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation.
NIPS
Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black
2003 J jnl
Distributed rendering of interactive soft shadows.
Parallel Comput.
Michael Isard, Mark Shand, Alan Heirich
2003 — conf
PAMPAS: Real-Valued Graphical Models for Computer Vision.
CVPR (1)
Michael Isard
2002 J jnl
Algorithmic issues in modeling motion.
ACM Comput. Surv.
Pankaj K. Agarwal, Leonidas J. Guibas, Herbert Edelsbrunner, Jeff Erickson, Michael Isard, Sariel Har-Peled, John Hershberger, Christian S. Jensen, Lydia E. Kavraki, Patrice Koehl, Ming C. Lin, Dinesh Manocha, Dimitris N. Metaxas, Brian Mirtich, David M. Mount, S. Muthukrishnan, Dinesh K. Pai, Elisha Sacks, Jack Snoeyink, Subhash Suri, Ouri Wolfson
2002 — conf
Automatic Camera Calibration from a Single Manhattan Image.
ECCV (4)
Jonathan Deutscher, Michael Isard, John MacCormick
2002 C conf
Distributed rendering of interactive soft shadows.
EGPGV
Michael Isard, Mark Shand, Alan Heirich
2001 J jnl
Bayesian Object Localisation in Images.
Int. J. Comput. Vis.
Josephine Sullivan, Andrew Blake, Michael Isard, John MacCormick
2001 A* conf
BraMBLe: A Bayesian Multiple-Blob Tracker.
ICCV
Michael Isard, John MacCormick
2001 — ch.
Statistical Models of Visual Shape and Motion.
Sequential Monte Carlo Methods in Practice
Andrew Blake, Michael Isard, John MacCormick
2000 J jnl
Learning and Classification of Complex Dynamics.
IEEE Trans. Pattern Anal. Mach. Intell.
Ben North, Andrew Blake, Michael Isard, Jens Rittscher
2000 — conf
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking.
ECCV (2)
John MacCormick, Michael Isard
1999 A* conf
Object Localization by Bayesian Correlation.
ICCV
Josephine Sullivan, Andrew Blake, Michael Isard, John MacCormick
1998 A* conf
A Mixed-State CONDENSATION Tracker with Automatic Model-Switching.
ICCV
Michael Isard, Andrew Blake
1998 — conf
A Smoothing Filter for CONDENSATION.
ECCV (1)
Michael Isard, Andrew Blake
1998 — book
Active contours - the application of techniques from graphics, vision, control theory and statistics to visual tracking of shapes in motion.
Andrew Blake, Michael Isard
1998 J jnl
CONDENSATION - Conditional Density Propagation for Visual Tracking.
Int. J. Comput. Vis.
Michael Isard, Andrew Blake
1998 — conf
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework.
ECCV (1)
Michael Isard, Andrew Blake
1998 — conf
Learning Multi-Class Dynamics.
NIPS
Andrew Blake, Ben North, Michael Isard
1997 — conf
Visual tracking and pose recovery for special effects.
SIGGRAPH Visual Proceedings
Michael Isard, Andrew Blake
1996 — conf
Automatic video tracking by probabilistic propagation.
SIGGRAPH Visual Proceedings
Michael Isard, Andrew Blake
1996 — conf
Contour Tracking by Stochastic Propagation of Conditional Density.
ECCV (1)
Michael Isard, Andrew Blake
1996 — conf
The CONDENSATION Algorithm - Conditional Density Propagation and Applications to Visual Tracking.
NIPS
Andrew Blake, Michael Isard
1995 J jnl
Learning to Track the Visual Motion of Contours.
Artif. Intell.
Andrew Blake, Michael Isard, David Reynard
1994 A* conf
3D position, attitude and shape input using video tracking of hands and lips.
SIGGRAPH
Andrew Blake, Michael Isard