Joseph Gonzalez

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 71

Top Topics

Video Analytics

Top Venues

Proc. VLDB Endow.

Publications

Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph Gonzalez, Ion Stoica
SLoRA: Scalable Serving of Thousands of LoRA Adapters. MLSys (2024)
Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph Gonzalez
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting. CoRR (2024)
Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Victor Mayoral Vilches, Nikhil Jha, Hugo Zhan, Edith LLontop, Derek Xu, Camilo Buscaron, John Kubiatowicz, Ion Stoica, Joseph Gonzalez, Ken Goldberg
FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2. ICRA (2023)
David Chan, Suzanne Petryk, Joseph Gonzalez, Trevor Darrell, John F. Canny
CLAIR: Evaluating Image Captions with Large Language Models. EMNLP (2023)
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica
Efficient Memory Management for Large Language Model Serving with PagedAttention. SOSP (2023)
Romil Bhardwaj, Kirthevasan Kandasamy, Asim Biswal, Wenshuo Guo, Benjamin Hindman, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback. OSDI (2023)
Rolando Garcia, Anusha Dandamudi, Gabriel Matute, Lehan Wan, Joseph Gonzalez, Joseph M. Hellerstein, Koushik Sen
Multiversion Hindsight Logging for Continuous Training. CoRR (2023)
Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. EMNLP (Findings) (2023)
Yonghao Zhuang, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph Gonzalez, Ion Stoica, Hao Zhang, Hexu Zhao
On Optimizing the Communication of Model Parallelism. MLSys (2023)
Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. CoRR (2022)
David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. CoRR (2022)
Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach
On Guiding Visual Attention with Language Specification. CoRR (2022)
Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. ECCV (36) (2022)
Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. CoRR (2022)
David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. Computer 55 (7) (2022)
Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. ICML (2022)
Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback. AISTATS (2022)
Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
Context-Aware Streaming Perception in Dynamic Environments. CoRR (2022)
Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
Context-Aware Streaming Perception in Dynamic Environments. ECCV (38) (2022)
Nathan Pemberton, Anton Zabreyko, Zhoujie Ding, Randy H. Katz, Joseph Gonzalez
Kernel-as-a-Service: A Serverless Interface to GPUs. CoRR (2022)
Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach
On Guiding Visual Attention with Language Specification. CVPR (2022)
Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez
Neurotoxin: Durable Backdoors in Federated Learning. ICML (2022)
Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai
Making Linear MDPs Practical via Contrastive Representation Learning. ICML (2022)
Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica
Contrastive Code Representation Learning. EMNLP (1) (2021)
Devin Petersohn, Dixin Tang, Rehan Sohail Durrani, Areg Melik-Adamyan, Joseph Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran
Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System. Proc. VLDB Endow. 15 (3) (2021)
Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell
MADE: Exploration via Maximizing Deviation from Explored Regions. CoRR (2021)
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph Gonzalez, Ken Goldberg
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. Robotics: Science and Systems (2021)
Kaiyuan Chen, Yafei Liang, Nikhil Jha, Jeffrey Ichnowski, Michael Danielczuk, Joseph Gonzalez, John Kubiatowicz, Ken Goldberg
FogROS: An Adaptive Framework for Automating Fog Robotics Deployment. CASE (2021)
David A. Patterson, Joseph Gonzalez, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
Carbon Emissions and Large Neural Network Training. CoRR (2021)
Guanhua Wang, Zhuang Liu, Brandon Hsieh, Siyuan Zhuang, Joseph Gonzalez, Trevor Darrell, Ion Stoica
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data. MLSys (2021)
Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda
Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV (2021)
Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali
TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks (2021)
Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML (2021)
Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica
Grounded Graph Decoding improves Compositional Generalization in Question Answering. EMNLP (Findings) (2021)
Kaiyuan Chen, Yafei Liang, Nikhil Jha, Jeffrey Ichnowski, Michael Danielczuk, Joseph Gonzalez, John Kubiatowicz, Ken Goldberg
FogROS: An Adaptive Framework for Automating Fog Robotics Deployment. CoRR (2021)
Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph Gonzalez
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism. ICML (2021)
Daniel Rothchild, Alex Tamkin, Julie Yu, Ujval Misra, Joseph Gonzalez
C5T5: Controllable Generation of Organic Molecules with Transformers. CoRR (2021)
Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Paramvir Bahl, Joseph Gonzalez
Spatula: Efficient cross-camera video analytics on large camera networks. SEC (2020)
Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
Towards Scalable Dataframe Systems. Proc. VLDB Endow. 13 (11) (2020)
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
FetchSGD: Communication-Efficient Federated Learning with Sketching. ICML (2020)
Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Joseph Gonzalez, Joseph M. Hellerstein, Alexey Tumanov
Cloudburst: Stateful Functions-as-a-Service. Proc. VLDB Endow. 13 (11) (2020)
Daniel Crankshaw, Gur-Eyal Sela, Xiangxi Mo, Corey Zumar, Ion Stoica, Joseph Gonzalez, Alexey Tumanov
InferLine: latency-aware provisioning and scaling for prediction serving pipelines. SoCC (2020)
Joseph Gonzalez
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 43 (2) (2020)
Vidit Saxena, Joakim Jaldén, Joseph Gonzalez
Thompson Sampling for Linearly Constrained Bandits. AISTATS (2020)
Yaoqing Yang, Jichan Chung, Guanhua Wang, Vipul Gupta, Adarsh Karnati, Kenan Jiang, Ion Stoica, Joseph Gonzalez, Kannan Ramchandran
Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost. ACSSC (2020)
Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
FetchSGD: Communication-Efficient Federated Learning with Sketching. CoRR (2020)
Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph Gonzalez
Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. MLSys (2020)
Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu
Frustratingly Simple Few-Shot Object Detection. ICML (2020)
Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Vainavi Viswanath, Michael Laskey, Joseph Gonzalez, Ken Goldberg
Untangling Dense Knots by Learning Task-Relevant Keypoints. CoRL (2020)
Rolando Garcia, Eric Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph Gonzalez, Joseph M. Hellerstein, Koushik Sen
Hindsight Logging for Model Training. Proc. VLDB Endow. 14 (4) (2020)
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov
HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. CoRR (2020)
Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael W. Mahoney
ANODEV2: A Coupled Neural ODE Evolution Framework. CoRR (2019)
Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph Gonzalez
Scaling Video Analytics Systems to Large Camera Deployments. HotMobile (2019)
Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica
Dynamic Space-Time Scheduling for GPU Inference. CoRR (2019)
Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer
Domain-Aware Dynamic Networks. CoRR (2019)
Joseph M. Hellerstein, Jose M. Faleiro, Joseph Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu
Serverless Computing: One Step Forward, Two Steps Back. CIDR (2019)
Zuxuan Wu, Xin Wang, Joseph Gonzalez, Tom Goldstein, Larry Davis
ACE: Adapting to Changing Environments for Semantic Segmentation. ICCV (2019)
Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica
Deep Reinforcement Learning in System Optimization. CoRR (2019)
Samvit Jain, Junchen Jiang, Yuanchao Shu, Ganesh Ananthanarayanan, Joseph Gonzalez
ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale. CoRR (2018)
Samvit Jain, Xin Wang, Joseph Gonzalez
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video. CoRR (2018)
Daniel Crankshaw, Joseph Gonzalez, Peter Bailis
Research for practice: prediction-serving systems. Commun. ACM 61 (8) (2018)
Noah Golmant, Nikita Vemuri, Zhewei Yao, Vladimir Feinberg, Amir Gholami, Kai Rothauge, Michael W. Mahoney, Joseph Gonzalez
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent. CoRR (2018)
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
RLlib: Abstractions for Distributed Reinforcement Learning. ICML (2018)
Sicheng Zhao, Bichen Wu, Joseph Gonzalez, Sanjit A. Seshia, Kurt Keutzer
Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld. CoRR (2018)
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CVPR (2018)
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CoRR (2017)
Xinghao Pan, Shivaram Venkataraman, Zizheng Tai, Joseph Gonzalez
Hemingway: Modeling Distributed Optimization Algorithms. CoRR (2017)
Francois Belletti, Evan R. Sparks, Alexandre M. Bayen, Joseph Gonzalez
Random projection design for scalable implicit smoothing of randomly observed stochastic processes. AISTATS (2017)
Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica
Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR (2017)
Matei Zaharia, Reynold S. Xin, Patrick Wendell, Tathagata Das, Michael Armbrust, Ankur Dave, Xiangrui Meng, Josh Rosen, Shivaram Venkataraman, Michael J. Franklin, Ali Ghodsi, Joseph Gonzalez, Scott Shenker, Ion Stoica
Apache Spark: a unified engine for big data processing. Commun. ACM 59 (11) (2016)
Ankur Dave, Alekh Jindal, Li Erran Li, Reynold Xin, Joseph Gonzalez, Matei Zaharia
GraphFrames: an integrated API for mixing graph and relational queries. GRADES (2016)
Neeraja Jayant Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Randy H. Katz
Faster Jobs in Distributed Data Processing using Multi-Task Learning. SDM (2015)
Veronika Strnadová-Neeley, Aydin Buluç, Jarrod Chapman, John R. Gilbert, Joseph Gonzalez, Leonid Oliker
Efficient data reduction for large-scale genetic mapping. BCB (2015)
Veronika Strnadova, Aydin Buluç, Jarrod Chapman, John R. Gilbert, Joseph Gonzalez, Stefanie Jegelka, Daniel Rokhsar, Leonid Oliker
Efficient and accurate clustering for large-scale genetic mapping. BIBM (2014)
Tim Mattson, David A. Bader, Jonathan W. Berry, Aydin Buluç, Jack J. Dongarra, Christos Faloutsos, John Feo, John R. Gilbert, Joseph Gonzalez, Bruce Hendrickson, Jeremy Kepner, Charles E. Leiserson, Andrew Lumsdaine, David A. Padua, Stephen W. Poole, Steven P. Reinhardt, Mike Stonebraker, Steve Wallach, Andrew Yoo
Standards for Graph Algorithm Primitives. CoRR (2014)
Tim Mattson, David A. Bader, Aydin Buluç, John R. Gilbert, Joseph Gonzalez, Jeremy Kepner
GABB Introduction. IPDPS Workshops (2014)
Tim Mattson, David A. Bader, Jonathan W. Berry, Aydin Buluç, Jack J. Dongarra, Christos Faloutsos, John Feo, John R. Gilbert, Joseph Gonzalez, Bruce Hendrickson, Jeremy Kepner, Charles E. Leiserson, Andrew Lumsdaine, David A. Padua, Stephen Poole, Steven P. Reinhardt, Mike Stonebraker, Steve Wallach, Andrew Yoo
Standards for graph algorithm primitives. HPEC (2013)
Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
Distributed Parallel Inference on Large Factor Graphs CoRR (2012)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
Distributed GraphLab: A Framework for Machine Learning in the Cloud. Proc. VLDB Endow. 5 (8) (2012)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
Distributed GraphLab: A Framework for Machine Learning in the Cloud CoRR (2012)
Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan M. Narayanamurthy, Alexander J. Smola
Scalable inference in latent variable models. WSDM (2012)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin
GraphLab: A Distributed Framework for Machine Learning in the Cloud CoRR (2011)
Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. AISTATS (2011)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
GraphLab: A New Framework For Parallel Machine Learning. UAI (2010)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
GraphLab: A New Framework for Parallel Machine Learning CoRR (2010)
Joseph Gonzalez, Yucheng Low, Carlos Guestrin
Residual Splash for Optimally Parallelizing Belief Propagation. AISTATS (2009)
Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
Distributed Parallel Inference on Large Factor Graphs. UAI (2009)