Joseph Gonzalez

Natacha Crooks

Proc. VLDB Endow., November, 2023

The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research.

[BibT_eX]

[DOI]

Yucheng Low

Proc. VLDB Endow., 2023

CathAI: fully automated coronary angiography interpretation and stenosis estimation.

[BibT_eX]

[DOI]

Robert Avram

Jeffrey E. Olgin

Zeeshan Ahmed

Louis Verreault-Julien

npj Digit. Medicine, 2023

VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Efficiently Programming Large Language Models using SGLang.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Benchmark and Contamination for Language Models with Rephrased Samples.

[BibT_eX]

[DOI]

CoRR, 2023

S-LoRA: Serving Thousands of Concurrent LoRA Adapters.

[BibT_eX]

[DOI]

CoRR, 2023

Investigating the Behavior of Diffusion Models for Accelerating Electronic Structure Calculations.

[BibT_eX]

[DOI]

Aditi S. Krishnapriyan

CoRR, 2023

MemGPT: Towards LLMs as Operating Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Multiversion Hindsight Logging for Continuous Training.

[BibT_eX]

[DOI]

Koushik Sen

CoRR, 2023

LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Gorilla: Large Language Model Connected with Massive APIs.

[BibT_eX]

[DOI]

CoRR, 2023

High-throughput Generative Inference of Large Language Models with a Single GPU.

[BibT_eX]

[DOI]

CoRR, 2023

Energy-based Predictive Representations for Partially Observed Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Efficient Memory Management for Large Language Model Serving with PagedAttention.

[BibT_eX]

[DOI]

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving.

[BibT_eX]

[DOI]

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback.

[BibT_eX]

[DOI]

Romil Bhardwaj

Alberto L. Sangiovanni-Vincentelli

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays.

[BibT_eX]

[DOI]

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Optimizing the Communication of Model Parallelism.

[BibT_eX]

[DOI]

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Leveraging Cloud Computing to Make Autonomous Vehicles Safer.

[BibT_eX]

[DOI]

IROS, 2023

FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2.

[BibT_eX]

[DOI]

Victor Mayoral Vilches

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

The Wisdom of Hindsight Makes Language Models Better Instruction Followers.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

TEMPERA: Test-Time Prompt Editing via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Spectral Decomposition Representation for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Using Language to Extend to Unseen Domains.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Decomposing Complex Queries for Tip-of-the-tongue Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CLAIR: Evaluating Image Captions with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

[BibT_eX]

[DOI]

Sanjit A. Seshia

Kurt Keutzer

IEEE Trans. Neural Networks Learn. Syst., 2022

Kernel-as-a-Service: A Serverless Interface to GPUs.

[BibT_eX]

[DOI]

CoRR, 2022

TEMPERA: Test-Time Prompting via Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

FogROS 2: An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2.

[BibT_eX]

[DOI]

Victor Mayoral Vilches

CoRR, 2022

The Sky Above The Clouds.

[BibT_eX]

[DOI]

Anthony D. Joseph

Michael W. Mahoney

CoRR, 2022

All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators.

[BibT_eX]

[DOI]

CoRR, 2022

Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data.

[BibT_eX]

[DOI]

CoRR, 2022

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2022

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink.

[BibT_eX]

[DOI]

Computer, 2022

How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies.

[BibT_eX]

[DOI]

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Autonomously Untangling Long Cables.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Making Linear MDPs Practical via Contrastive Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Neurotoxin: Durable Backdoors in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

D3: a dynamic deadline-driven approach for building autonomous vehicles.

[BibT_eX]

[DOI]

Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Context-Aware Streaming Perception in Dynamic Environments.

[BibT_eX]

[DOI]

Gur-Eyal Sela

Ionel Gog

Justin Wong

Kumar Krishna Agrawal

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers.

[BibT_eX]

[DOI]

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

On Guiding Visual Attention with Language Specification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty.

[BibT_eX]

[DOI]

Charles Packer

Nicholas Rhinehart

Rowan Thomas McAllister

Proceedings of the Conference on Robot Learning, 2022

Learning Competitive Equilibria in Exchange Economies with Bandit Feedback.

[BibT_eX]

[DOI]

Wenshuo Guo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time.

[BibT_eX]

[DOI]

Anthony D. Joseph

IEEE Data Eng. Bull., 2021

Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation.

[BibT_eX]

[DOI]

CoRR, 2021

The Effect of Model Size on Worst-Group Generalization.

[BibT_eX]

[DOI]

CoRR, 2021

C5T5: Controllable Generation of Organic Molecules with Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Iterative Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks.

[BibT_eX]

[DOI]

Louis Verreault-Julien

CoRR, 2021

Online Learning of Competitive Equilibria in Exchange Economies.

[BibT_eX]

[DOI]

Wenshuo Guo

CoRR, 2021

PAC Best Arm Identification Under a Deadline.

[BibT_eX]

[DOI]

Brijen Thananjeyan

CoRR, 2021

Transformers are Deep Infinite-Dimensional Non-Mercer Binary Kernel Machines.

[BibT_eX]

[DOI]

Matthew A. Wright

CoRR, 2021

Carbon Emissions and Large Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2021

What serverless computing is and should become: the next phase of cloud computing.

[BibT_eX]

[DOI]

Anurag Khandelwal

João Carreira

Commun. ACM, 2021

ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs.

[BibT_eX]

[DOI]

Anand Padmanabha Iyer

Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

NovelD: A Simple yet Effective Exploration Criterion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MADE: Exploration via Maximizing Deviation from Explored Regions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Space Partitions for Path Planning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Taxonomizing local versus global structure in neural network loss landscapes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Representing Long-Range Context for Graph Neural Networks with Global Attention.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL.

[BibT_eX]

[DOI]

Charles Packer

Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating Quadratic Optimization with Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Disentangling Dense Multi-Cable Knots.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Serverless Multi-Query Motion Planning for Fog Robotics.

[BibT_eX]

[DOI]

Raghav Anand

Jeffrey Ichnowski

Ken Goldberg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism.

[BibT_eX]

[DOI]

Brijen Thananjeyan

Proceedings of the 38th International Conference on Machine Learning, 2021

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

NBDT: Neural-Backed Decision Tree.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Visual Transformers: Where Do Transformers Really Belong in Vision Models?

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Object Detection via Instance-Level Temporal Cycle Confusion.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

The RESTless cloud.

[BibT_eX]

[DOI]

Nathan Pemberton

Proceedings of the HotOS '21: Workshop on Hot Topics in Operating Systems, 2021

RubberBand: cloud-based hyperparameter tuning.

[BibT_eX]

[DOI]

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

Grounded Graph Decoding improves Compositional Generalization in Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Contrastive Code Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Elastic Hyperparameter Tuning on the Cloud.

[BibT_eX]

[DOI]

Lisa Dunlap

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

FogROS: An Adaptive Framework for Automating Fog Robotics Deployment.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

RILaaS: Robot Inference and Learning as a Service.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Cloudburst: Stateful Functions-as-a-Service.

[BibT_eX]

[DOI]

Xiayue Charles Lin

Proc. VLDB Endow., 2020

Towards Scalable Dataframe Systems.

[BibT_eX]

[DOI]

Anthony D. Joseph

Proc. VLDB Endow., 2020

Hindsight Logging for Model Training.

[BibT_eX]

[DOI]

Koushik Sen

Proc. VLDB Endow., 2020

CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing.

[BibT_eX]

[DOI]

Kalyanaraman Shankari

Alvin Wan

Thomas Zachariah

IEEE Data Eng. Bull., 2020

Online Learning Demands in Max-min Fairness.

[BibT_eX]

[DOI]

CoRR, 2020

BeBold: Exploration Beyond the Boundary of Explored Regions.

[BibT_eX]

[DOI]

CoRR, 2020

Untangling Dense Knots by Learning Task-Relevant Keypoints.

[BibT_eX]

[DOI]

CoRR, 2020

Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism.

[BibT_eX]

[DOI]

Brijen Thananjeyan

CoRR, 2020

Multi-Agent Collaboration via Reward Attribution Decomposition.

[BibT_eX]

[DOI]

CoRR, 2020

MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects.

[BibT_eX]

[DOI]

CoRR, 2020

Benchmarking Semi-supervised Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Optimizing Prediction Serving on Low-Latency Serverless Dataflow.

[BibT_eX]

[DOI]

CoRR, 2020

BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud.

[BibT_eX]

[DOI]

CoRR, 2020

SegNBDT: Visual Decision Rules for Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function.

[BibT_eX]

[DOI]

CoRR, 2020

CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing Effort.

[BibT_eX]

[DOI]

Kalyanaraman Shankari

Alvin Wan

Thomas Zachariah

CoRR, 2020

Mechanism Design with Bandit Feedback.

[BibT_eX]

[DOI]

CoRR, 2020

NBDT: Neural-Backed Decision Trees.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images.

[BibT_eX]

[DOI]

CoRR, 2020

Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.

[BibT_eX]

[DOI]

CoRR, 2020

SqueezeWave: Extremely Lightweight Vocoders for On-device Speech Synthesis.

[BibT_eX]

[DOI]

CoRR, 2020

Cloudburst: Stateful Functions-as-a-Service.

[BibT_eX]

[DOI]

Xiayue Charles Lin

Jose M. Faleiro

CoRR, 2020

Ansor: Generating High-Performance Tensor Programs for Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Boundary thickness and robustness in learning models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization.

[BibT_eX]

[DOI]

Proceedings of the Third Conference on Machine Learning and Systems, 2020

Spatula: Efficient cross-camera video analytics on large camera networks.

[BibT_eX]

[DOI]

Xun Zhang

Yuhao Zhou

Ganesh Ananthanarayanan

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Fog Robotics Algorithms for Distributed Motion Planning Using Lambda Serverless Computing.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Frustratingly Simple Few-Shot Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

FetchSGD: Communication-Efficient Federated Learning with Sketching.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Serverless Boom or Bust? An Analysis of Economic Incentives.

[BibT_eX]

[DOI]

Xiayue Charles Lin

Proceedings of the 12th USENIX Workshop on Hot Topics in Cloud Computing, 2020

A fault-tolerance shim for serverless computing.

[BibT_eX]

[DOI]

Jose M. Faleiro

Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020

Oblivious coopetitive analytics using hardware enclaves.

[BibT_eX]

[DOI]

Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Untangling Dense Knots by Learning Task-Relevant Keypoints.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

InferLine: latency-aware provisioning and scaling for prediction serving pipelines.

[BibT_eX]

[DOI]

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

Thompson Sampling for Linearly Constrained Bandits.

[BibT_eX]

[DOI]

Vidit Saxena

Joakim Jaldén

Dimitris S. Papailiopoulos

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Domain-Aware Dynamic Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Reinforcement Learning in System Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Task-Aware Deep Sampling for Feature Generation.

[BibT_eX]

[DOI]

CoRR, 2019

ANODEV2: A Coupled Neural ODE Evolution Framework.

[BibT_eX]

[DOI]

CoRR, 2019

Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

[BibT_eX]

[DOI]

Alexandros G. Dimakis

Anastasios Kyrillidis

Shivaram Venkataraman

CoRR, 2019

Constrained Thompson Sampling for Wireless Link Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing.

[BibT_eX]

[DOI]

Eric Jonas

CoRR, 2019

The OoO VLIW JIT Compiler for GPU Inference.

[BibT_eX]

[DOI]

CoRR, 2019

Dynamic Space-Time Scheduling for GPU Inference.

[BibT_eX]

[DOI]

CoRR, 2019

Scaling Video Analytics Systems to Large Camera Deployments.

[BibT_eX]

[DOI]

Ganesh Ananthanarayanan

Junchen Jiang

Yuanchao Shu

Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 2019

Deep Mixture of Experts via Shallow Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Helen: Maliciously Secure Coopetitive Learning for Linear Models.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 Workshop on Network Meets AI & ML, 2019

ANODEV2: A Coupled Neural ODE Framework.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

ACE: Adapting to Changing Environments for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video.

[BibT_eX]

[DOI]

Xin Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

On-Policy Robot Imitation Learning from a Converging Supervisor.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Serverless Computing: One Step Forward, Two Steps Back.

[BibT_eX]

[DOI]

Jose M. Faleiro

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018

Letter from the Special Issue Editor.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2018

InferLine: ML Inference Pipeline Composition Framework.

[BibT_eX]

[DOI]

CoRR, 2018

Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification.

[BibT_eX]

[DOI]

CoRR, 2018

On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2018

ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale.

[BibT_eX]

[DOI]

Junchen Jiang

Yuanchao Shu

Ganesh Ananthanarayanan

CoRR, 2018

Inter-BMV: Interpolation with Block Motion Vectors for Fast Semantic Segmentation on Video.

[BibT_eX]

[DOI]

CoRR, 2018

Tune: A Research Platform for Distributed Model Selection and Training.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Mixture of Experts via Shallow Embedding.

[BibT_eX]

[DOI]

CoRR, 2018

Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld.

[BibT_eX]

[DOI]

CoRR, 2018

Fast Semantic Segmentation on Video Using Motion Vector-Based Feature Interpolation.

[BibT_eX]

[DOI]

CoRR, 2018

Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Research for practice: prediction-serving systems.

[BibT_eX]

[DOI]

Daniel Crankshaw

Peter Bailis

Commun. ACM, 2018

IDK Cascades: Fast Deep Learning by Learning not to Overthink.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

RLlib: Abstractions for Distributed Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

SkipNet: Learning Dynamic Routing in Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Fast Semantic Segmentation on Video Using Block Motion-Based Feature Interpolation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Ray RLLib: A Composable and Scalable Reinforcement Learning Library.

[BibT_eX]

[DOI]

CoRR, 2017

A Berkeley View of Systems Challenges for AI.

[BibT_eX]

[DOI]

CoRR, 2017

SkipNet: Learning Dynamic Routing in Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

IDK Cascades: Fast Deep Learning by Learning not to Overthink.

[BibT_eX]

[DOI]

CoRR, 2017

Hemingway: Modeling Distributed Optimization Algorithms.

[BibT_eX]

[DOI]

Xinghao Pan

Shivaram Venkataraman

Zizheng Tai

CoRR, 2017

Opaque: An Oblivious and Encrypted Distributed Analytics Platform.

[BibT_eX]

[DOI]

Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

Clipper: A Low-Latency Online Prediction Serving System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Ground: A Data Context Service.

[BibT_eX]

[DOI]

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

Random projection design for scalable implicit smoothing of randomly observed stochastic processes.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling.

[BibT_eX]

[DOI]

Bharath Hariharan

Randy Howard Katz

J. Mach. Learn. Res., 2016

Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies.

[BibT_eX]

[DOI]

CoRR, 2016

Apache Spark: a unified engine for big data processing.

[BibT_eX]

[DOI]

Shivaram Venkataraman

Commun. ACM, 2016

GraphFrames: an integrated API for mixing graph and relational queries.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, Redwood Shores, CA, USA, June 24, 2016

2015

Asynchronous Complex Analytics in a Distributed Dataflow Architecture.

[BibT_eX]

[DOI]

Ali Ghodsi

CoRR, 2015

Faster Jobs in Distributed Data Processing using Multi-Task Learning.

[BibT_eX]

[DOI]

Bharath Hariharan

Veronika Strnadová-Neeley

Randy H. Katz

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.

[BibT_eX]

[DOI]

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

Efficient data reduction for large-scale genetic mapping.

[BibT_eX]

[DOI]

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014

GraphX: Unifying Data-Parallel and Graph-Parallel Analytics.

[BibT_eX]

[DOI]

CoRR, 2014

From graphs to tables the design of scalable systems for graph analytics.

[BibT_eX]

[DOI]