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README

Awesome AutoDL Awesome

A curated list of automated deep learning related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers, and awesome-architecture-search.

Please feel free to pull requests or open an issue to add papers.

Table of Contents

Awesome Blogs

Awesome AutoDL Libraies

Awesome Benchmarks

Title Venue Code
NAS-Bench-101: Towards Reproducible Neural Architecture Search ICML 2019 GitHub
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search ICLR 2020 Github
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search arXiv 2020 GitHub
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search ICLR 2020 GitHub
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size TPAMI 2021 GitHub
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition ICLR 2021 GitHub
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark ICLR 2021 GitHub
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing arXiv 2020 GitHub
NAS-Bench-x11 and the Power of Learning Curves NeurIPS 2021 GitHub

Deep Learning-based NAS and HPO

Type G RL EA PD Other
Explanation gradient-based reinforcement learning evolutionary algorithm performance prediction other types

2021 Venues

Title Venue Type Code
CATE: Computation-aware Neural Architecture Encoding with Transformers ICML O GitHub
Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator CVPR G Github
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition ICCV EA Github
AutoFormer: Searching Transformers for Visual Recognition ICCV EA GitHub
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search CVPR EA GitHub
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking CVPR EA GitHub
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators ICLR G GitHub
Zero-Cost Proxies for Lightweight NAS ICLR O GitHub
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective ICLR - GitHub
DrNAS: Dirichlet Neural Architecture Search ICLR G GitHub
Rethinking Architecture Selection in Differentiable NAS ICLR O GitHub
Evolving Reinforcement Learning Algorithms ICLR EA GitHub
AutoHAS: Differentiable Hyper-parameter and Architecture Search ICLR-W G -
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function CVPR PD github

2020 Venues

Title Venue Type Code
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search NeurIPS - GitHub
PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS library -
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search NeurIPS PD GitHub
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space NeurIPS GitHub
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians NeurIPS G GitHub
A Study on Encodings for Neural Architecture Search NeurIPS GitHub
AutoBSS: An Efficient Algorithm for Block Stacking Style Search NeurIPS
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS NeurIPS G GitHub
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding NeurIPS
Revisiting Parameter Sharing for Automatic Neural Channel Number Search NeurIPS
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search NeurIPS MCTS GitHub
Neural Architecture Search using Deep Neural Networks and Monte Carlo Tree Search AAAI MCTS GitHub
Representation Sharing for Fast Object Detector Search and Beyond ECCV G GitHub
Are Labels Necessary for Neural Architecture Search? ECCV G -
Single Path One-Shot Neural Architecture Search with Uniform Sampling ECCV EA -
Neural Predictor for Neural Architecture Search ECCV O -
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models ECCV G -
BATS: Binary ArchitecTure Search ECCV - -
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification ECCV - -
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization ECCV - -
Angle-based Search Space Shrinking for Neural Architecture Search ECCV - -
Anti-Bandit Neural Architecture Search for Model Defense ECCV - -
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search ECCV G GitHub
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search ECCV G GitHub
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search ECCV RL -
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search ECCV G -
Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS G -
Evolving Machine Learning Algorithms From Scratch ICML EA -
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization ICML G GitHub
NADS: Neural Architecture Distribution Search for Uncertainty Awareness ICML - -
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data ICML - -
Neural Architecture Search in a Proxy Validation Loss Landscape ICML - -
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR - GitHub
Designing Network Design Spaces CVPR - GitHub
UNAS: Differentiable Architecture Search Meets Reinforcement Learning CVPR G/RL GitHub
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR G GitHub
[A Semi-Supervised Assessor of Neural Architectures](https://openaccess.thecvf.com/content_CVPR_2020/papers/Tang_A_Semi-Supervised_Assessor_of_Neural_Architectures_CVPR_2020_

Core symbols most depended-on inside this repo

filter_ele_w_value
called by 9
awesome_autodl/utils/filter.py
load_yaml
called by 6
awesome_autodl/utils/yaml.py
autodl_topic2papers
called by 3
awesome_autodl/__init__.py
keys
called by 3
awesome_autodl/data_cls/abbrv.py
recursive_find_file
called by 2
setup.py
get_data_dir
called by 2
awesome_autodl/__init__.py
get_bib_abbrv_file
called by 2
awesome_autodl/__init__.py
check_and_sort_by_date
called by 2
awesome_autodl/utils/check.py

Shape

Function 23
Method 15
Class 5

Languages

Python100%

Modules by API surface

awesome_autodl/data_cls/abbrv.py8 symbols
awesome_autodl/__init__.py8 symbols
awesome_autodl/data_cls/paper.py6 symbols
setup.py5 symbols
awesome_autodl/utils/yaml.py4 symbols
awesome_autodl/bins/show_infos.py3 symbols
tests/test_format.py2 symbols
tests/test_abbrv.py2 symbols
awesome_autodl/utils/check.py2 symbols
awesome_autodl/utils/filter.py1 symbols
awesome_autodl/bins/statistics.py1 symbols
awesome_autodl/bins/list_email.py1 symbols

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