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Neural Architecture Search

163 papers with code · Methodology
Subtask of AutoML

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SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

10 Dec 2019tensorflow/tpu

We propose SpineNet, a backbone with scale-permuted intermediate features and cross-scale connections that is learned on an object detection task by Neural Architecture Search.

NEURAL ARCHITECTURE SEARCH OBJECT DETECTION

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

CVPR 2019 tensorflow/tpu

Here we aim to learn a better architecture of feature pyramid network for object detection.

#12 best model for Real-Time Object Detection on COCO (MAP metric)

NEURAL ARCHITECTURE SEARCH REAL-TIME OBJECT DETECTION

MnasNet: Platform-Aware Neural Architecture Search for Mobile

CVPR 2019 tensorflow/tpu

In this paper, we propose an automated mobile neural architecture search (MNAS) approach, which explicitly incorporate model latency into the main objective so that the search can identify a model that achieves a good trade-off between accuracy and latency.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH OBJECT DETECTION

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles

30 Apr 2019tensorflow/adanet

AdaNet is a lightweight TensorFlow-based (Abadi et al., 2015) framework for automatically learning high-quality ensembles with minimal expert intervention.

NEURAL ARCHITECTURE SEARCH

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

ECCV 2018 NervanaSystems/distiller

Model compression is a critical technique to efficiently deploy neural network models on mobile devices which have limited computation resources and tight power budgets.

MODEL COMPRESSION NEURAL ARCHITECTURE SEARCH

Neural Architecture Search with Reinforcement Learning

5 Nov 2016carpedm20/ENAS-pytorch

Our cell achieves a test set perplexity of 62. 4 on the Penn Treebank, which is 3. 6 perplexity better than the previous state-of-the-art model.

IMAGE CLASSIFICATION LANGUAGE MODELLING NEURAL ARCHITECTURE SEARCH

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

5 Apr 2019osmr/imgclsmob

Can we automatically design a Convolutional Network (ConvNet) with the highest image classification accuracy under the runtime constraint of a mobile device?

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

ICLR 2019 osmr/imgclsmob

We address the high memory consumption issue of differentiable NAS and reduce the computational cost (GPU hours and GPU memory) to the same level of regular training while still allowing a large candidate set.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH

BAM: Bottleneck Attention Module

17 Jul 2018osmr/imgclsmob

In this work, we focus on the effect of attention in general deep neural networks.

NEURAL ARCHITECTURE SEARCH

Once-for-All: Train One Network and Specialize it for Efficient Deployment on Diverse Hardware Platforms

26 Aug 2019mit-han-lab/ProxylessNAS

We address the challenging problem of efficient deep learning model deployment across many devices and diverse constraints, from general-purpose hardware to specialized accelerators.

NEURAL ARCHITECTURE SEARCH