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10/14/2019
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Modern deep learning models have been exploited in various domains, incl...
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12/21/2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
This paper proposes an efficient neural network (NN) architecture design...
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12/09/2018
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Designing accurate and efficient ConvNets for mobile devices is challeng...
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11/24/2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
The application of deep learning techniques resulted in remarkable impro...
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06/08/2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Deep learning thrives with large neural networks and large datasets. How...
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03/15/2016
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
State-of-the-art results of semantic segmentation are established by Ful...
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03/14/2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow is an interface for expressing machine learning algorithms, a...
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09/17/2014
Going Deeper with Convolutions
We propose a deep convolutional neural network architecture codenamed "I...
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06/20/2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe provides multimedia scientists and practitioners with a clean and ...
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12/21/2013
One-Shot Adaptation of Supervised Deep Convolutional Models
Dataset bias remains a significant barrier towards solving real world co...
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12/17/2013
Deep Convolutional Ranking for Multilabel Image Annotation
Multilabel image annotation is one of the most important challenges in c...
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10/06/2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
We evaluate whether features extracted from the activation of a deep con...
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01/15/2013
Why Size Matters: Feature Coding as Nystrom Sampling
Recently, the computer vision and machine learning community has been in...
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01/15/2013
Pooling-Invariant Image Feature Learning
Unsupervised dictionary learning has been a key component in state-of-th...
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10/16/2012