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Optimized Product Quantization[2]
#20
egolearner
opened
4 years ago
0
Product Quantization for Nearest Neighbor Search[4]
#19
egolearner
opened
4 years ago
2
papers to read
#18
egolearner
opened
4 years ago
1
Video Google: A Text Retrieval Approach to Object Matching in Videos[3]
#17
egolearner
opened
4 years ago
0
ModelHub: Lifecycle Management for Deep Learning[4]
#16
egolearner
opened
4 years ago
0
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
#15
egolearner
opened
4 years ago
0
Automatically Tracking Metadata and Provenance of Machine Learning Experiments
#14
egolearner
opened
4 years ago
0
Data Management Challenges in Production Machine Learning[3]
#13
egolearner
opened
4 years ago
2
Goods: Organizing Google's Datasets[4]
#12
egolearner
opened
4 years ago
0
Autopilot: workload autoscaling at Google[5]
#11
egolearner
opened
4 years ago
0
A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments
#10
egolearner
opened
4 years ago
0
DEEP COMPRESSION: COMPRESSING DEEP NEURAL NETWORKS WITH PRUNING, TRAINED QUANTIZATION AND HUFFMAN CODING
#9
egolearner
opened
5 years ago
0
Compressing Neural Networks with the Hashing Trick
#8
egolearner
opened
5 years ago
0
Feature Hashing for Large Scale Multitask Learning
#7
egolearner
opened
5 years ago
0
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks[5]
#6
egolearner
opened
5 years ago
0
Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft
#5
egolearner
opened
5 years ago
0
Deep Learning Inference Service at Microsoft
#4
egolearner
opened
5 years ago
1
Scaling Machine Learning as a Service
#3
egolearner
opened
5 years ago
1
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
#2
egolearner
opened
5 years ago
0
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective
#1
egolearner
opened
6 years ago
1