TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Martı́n Abadi, Ashish Agarwal, Paul Barham, +36

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolAi Foundation +14

TensorFlow: A system for large-scale machine learning

Martı́n Abadi, Paul Barham, Jianmin Chen, +18

arXiv (Cornell University)

Cluster ComputingEngineeringMachine LearningMachine Learning ToolComputer Architecture +15

TensorFlow: a system for large-scale machine learning

Martı́n Abadi, Paul Barham, Jianmin Chen, +19

Operating Systems Design and Implementation

Cluster ComputingEngineeringMachine LearningMachine Learning ToolComputer Architecture +16

CONDENSATION—Conditional Density Propagation for Visual Tracking

Michael Isard, Andrew Blake

International Journal of Computer Vision

Object retrieval with large vocabularies and fast spatial matching

James Philbin, Ondřej Chum, Michael Isard, +2

EngineeringMachine LearningImage RetrievalImage SearchNatural Language Processing +15

Dryad

Michael Isard, Mihai Budiu, Yuan Yu, +2

Dataflow GraphDryad Application CombinesEngineeringDistributed ComputingCoarse-grain Data-parallel Applications +11

PaLM: Scaling Language Modeling with Pathways

Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, +62

arXiv (Cornell University)

Artificial IntelligenceLlm Fine-tuningEngineeringMachine LearningGeneration Benchmarks +17

Lost in quantization: Improving particular object retrieval in large scale image databases

James Philbin, Ondřej Chum, Michael Isard, +2

EngineeringMachine LearningImage RetrievalImage DatabaseImage Search +15

Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval

Ondřej Chum, James Philbin, Josef Šivic, +2

EngineeringMachine LearningImage RetrievalTotal RecallQuery Model +19

Quincy

Michael Isard, Vijayan Prabhakaran, Jon Currey, +3

Job SchedulerCluster ComputingEngineeringEdge ComputingFine-grain Resource +12