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Neural Architecture Search

160 papers with code · Methodology
Subtask of AutoML

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MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

31 Mar 2020bhpfelix/MTLNAS

We propose to incorporate neural architecture search (NAS) into general-purpose multi-task learning (GP-MTL).

MULTI-TASK LEARNING NEURAL ARCHITECTURE SEARCH

2
31 Mar 2020

DHP: Differentiable Meta Pruning via HyperNetworks

30 Mar 2020ofsoundof/dhp

The input of the hypernetwork, namely, the latent vectors control the output channels of the layers of backbone network.

DENOISING IMAGE CLASSIFICATION IMAGE SUPER-RESOLUTION NETWORK PRUNING NEURAL ARCHITECTURE SEARCH

8
30 Mar 2020

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation

27 Mar 2020chaoyanghe/MiLeNAS

To remedy this, this paper proposes \mldas, a mixed-level reformulation for NAS that can be optimized efficiently and reliably.

BILEVEL OPTIMIZATION NEURAL ARCHITECTURE SEARCH

1
27 Mar 2020

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

26 Mar 2020ggjy/HitDet.pytorch

To this end, we propose a hierarchical trinity search framework to simultaneously discover efficient architectures for all components (i. e. backbone, neck, and head) of object detector in an end-to-end manner.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH OBJECT DETECTION

12
26 Mar 2020

Lifelong Learning with Searchable Extension Units

19 Mar 2020WenjinW/LLSEU

To solve those problems, in this paper, we propose a new lifelong learning framework named Searchable Extension Units (SEU) by introducing Neural Architecture Search into lifelong learning, which breaks down the need for a predefined original model and searches for specific extension units for different tasks, without compromising the performance of the model on different tasks.

NEURAL ARCHITECTURE SEARCH

1
19 Mar 2020

PONAS: Progressive One-shot Neural Architecture Search for Very Efficient Deployment

11 Mar 2020eric8607242/PONAS

During search, we evaluate candidate blocks in different layers and construct the accuracy table that is to be used in deployment.

NEURAL ARCHITECTURE SEARCH

3
11 Mar 2020

Hierarchical Neural Architecture Search for Single Image Super-Resolution

10 Mar 2020guoyongcs/HNAS-SR

To this end, we design a hierarchical SR search space and propose a hierarchical controller for architecture search.

IMAGE SUPER-RESOLUTION NEURAL ARCHITECTURE SEARCH

11
10 Mar 2020

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

9 Mar 2020ZitongYu/CDCN

Here we propose a novel frame level FAS method based on Central Difference Convolution (CDC), which is able to capture intrinsic detailed patterns via aggregating both intensity and gradient information.

FACE ANTI-SPOOFING FACE RECOGNITION NEURAL ARCHITECTURE SEARCH

107
09 Mar 2020

BATS: Binary ArchitecTure Search

3 Mar 20201adrianb/binary-nas

We show that directly applying NAS to the binary domain provides very poor results.

NEURAL ARCHITECTURE SEARCH

21
03 Mar 2020

Semi-Supervised Neural Architecture Search

24 Feb 2020renqianluo/SemiNAS

Neural architecture search (NAS) relies on a good controller to generate better architectures or predict the accuracy of given architectures.

NATURAL LANGUAGE TRANSDUCTION NEURAL ARCHITECTURE SEARCH

31
24 Feb 2020