Joseph Gonzalez
Orcid: 0000-0003-2921-956XAffiliations:
- University of California at Berkeley, CA, USA
- Carnegie Mellon University, Santa Clara, CA, USA (former)
According to our database1,
Joseph Gonzalez
authored at least 234 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Proc. VLDB Endow., November, 2023
The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research.
Proc. VLDB Endow., 2023
npj Digit. Medicine, 2023
J. Mach. Learn. Res., 2023
CoRR, 2023
Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations.
CoRR, 2023
LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers.
CoRR, 2023
CoRR, 2023
Energy-based Predictive Representations for Partially Observed Reinforcement Learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the 29th Symposium on Operating Systems Principles, 2023
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving.
Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback.
Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
FogROS 2: An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2.
CoRR, 2022
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators.
CoRR, 2022
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data.
CoRR, 2022
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.
CoRR, 2022
Computer, 2022
How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.
Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022
All You Need is LUV: Unsupervised Collection of Labeled Images Using UV-Fluorescent Markings.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Conference on Robot Learning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
IEEE Robotics Autom. Lett., 2021
Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System.
Proc. VLDB Endow., 2021
IEEE Data Eng. Bull., 2021
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation.
CoRR, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
Commun. ACM, 2021
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions.
Proceedings of the Algorithmic Foundations of Robotics XIV, 2021
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data.
Proceedings of Machine Learning and Systems 2021, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 2021
Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks.
IEEE Robotics Autom. Lett., 2020
IEEE Data Eng. Bull., 2020
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism.
CoRR, 2020
MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects.
CoRR, 2020
BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images.
CoRR, 2020
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.
CoRR, 2020
CoRR, 2020
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of Machine Learning and Systems 2020, 2020
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020
Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Fog Robotics Algorithms for Distributed Motion Planning Using Lambda Serverless Computing.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 12th USENIX Workshop on Hot Topics in Cloud Computing, 2020
Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020
Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations.
CoRR, 2019
Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019
Proceedings of the 2019 Workshop on Network Meets AI & ML, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019
Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019
2018
CoRR, 2018
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent.
CoRR, 2018
CoRR, 2018
Inter-BMV: Interpolation with Block Motion Vectors for Fast Semantic Segmentation on Video.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning.
CoRR, 2017
Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017
Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017
Selecting the <i>best</i> VM across multiple public clouds: a data-driven performance modeling approach.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017
Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017
Random projection design for scalable implicit smoothing of randomly observed stochastic processes.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
J. Mach. Learn. Res., 2016
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies.
CoRR, 2016
Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, Redwood Shores, CA, USA, June 24, 2016
2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox.
Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015
Proceedings of the 6th ACM Conference on Bioinformatics, 2015
2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Proceedings of the 11th USENIX Symposium on Operating Systems Design and Implementation, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
Proceedings of the First International Workshop on Graph Data Management Experiences and Systems, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
Proceedings of the IEEE High Performance Extreme Computing Conference, 2013
2012
Proc. VLDB Endow., 2012
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012
Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012
2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
2010
Proceedings of the UAI 2010, 2010
2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Proceedings of the UAI 2009, 2009