A curated list of awesome resources combining Transformers with Neural Architecture Search

Overview

Awesome Transformer Architecture Search: Awesome

To keep track of the large number of recent papers that look at the intersection of Transformers and Neural Architecture Search (NAS), we have created this awesome list of curated papers and resources, inspired by awesome-autodl, awesome-architecture-search, and awesome-computer-vision. Papers are divided into the following categories:

  1. General Transformer search
  2. Domain Specific, applied Transformer search (divided into NLP, Vision, ASR)
  3. Insights on Transformer components or searchable parameters
  4. Transformer Surveys

This repository is maintained by the AutoML Group Freiburg. Please feel free to pull requests or open an issue to add papers.

General Transformer Search

Title Venue Group
UniNet: Unified Architecture Search with Convolutions, Transformer and MLP arxiv [Oct'21] SenseTime
Analyzing and Mitigating Interference in Neural Architecture Search arxiv [Aug'21] Tsinghua, MSR
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search ICCV'21 Sun Yat-sen University
Memory-Efficient Differentiable Transformer Architecture Search ACL-IJCNLP'21 MSR, Peking University
Finding Fast Transformers: One-Shot Neural Architecture Search by Component Composition arxiv [Aug'20] Google Research
AutoTrans: Automating Transformer Design via Reinforced Architecture Search arxiv [Sep'20] Fudan University
NAT: Neural Architecture Transformer for Accurate and Compact Architectures NeurIPS'19 Tencent AI
The Evolved Transformer ICML'19 Google Brain

Domain Specific Transformer Search

Vision

Title Venue Group
AutoFormer: Searching Transformers for Visual Recognition ICCV'21 MSR
GLiT: Neural Architecture Search for Global and Local Image Transformer ICCV'21 University of Sydney
Searching for Efficient Multi-Stage Vision Transformers ICCV'21 workshop MIT
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight Transformers CVPR'21 Bytedance Inc.
Vision Transformer Architecture Search arxiv [June'21] SenseTime, Tsingua University

Natural Language Processing

Title Venue Group
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models ACL'21 MIT
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search KDD'21 MSR, Tsinghua University
AutoBERT-Zero: Evolving the BERT backbone from scratch arxiv [July'21] Huawei Noah’s Ark Lab
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing ACL'20 MIT

Automatic Speech Recognition

Title Venue Group
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search ICASSP'21 MSR
Darts-Conformer: Towards Efficient Gradient-Based Neural Architecture Search For End-to-End ASR arxiv [Aug'21] NPU, Xi'an
Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search arxiv [April'21] Chinese Academy of Sciences
Evolved Speech-Transformer: Applying Neural Architecture Search to End-to-End Automatic Speech Recognition INTERSPEECH'20 VUNO Inc.

Insights on Transformer components and interesting papers

Title Venue Group
Patches are All You Need ? ICLR'22 under review -
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows ICCV'21 best paper MSR
Rethinking Spatial Dimensions of Vision Transformers ICCV'21 NAVER AI
What makes for hierarchical vision transformers arxiv [Sept'21] HUST
AutoAttend: Automated Attention Representation Search ICML'21 Tsinghua University
Rethinking Attention with Performers ICLR'21 Oral Google
LambdaNetworks: Modeling long-range Interactions without Attention ICLR'21 Google Research
HyperGrid Transformers ICLR'21 Google Research
LocalViT: Bringing Locality to Vision Transformers arxiv [April'21] ETH Zurich
NASABN: A Neural Architecture Search Framework for Attention-Based Networks IJCNN'20 Chinese Academy of Sciences
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL'19 Yandex

Transformer Surveys

Title Venue Group
Transformers in Vision: A Survey arxiv [Oct'21] MBZ University of AI
Efficient Transformers: A Survey arxiv [Sept'21] Google Research

Misc resources

Owner
Yash Mehta
Researcher, deep learning 🍁 Previously @GatsbyUCL, @NTUsingapore, @AmazonSDE
Yash Mehta
Official repository for the NeurIPS 2021 paper Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided curriculum Learning Approach

Get Fooled for the Right Reason Official repository for the NeurIPS 2021 paper Get Fooled for the Right Reason: Improving Adversarial Robustness throu

Sowrya Gali 1 Apr 25, 2022
Related resources for our EMNLP 2021 paper

Plan-then-Generate: Controlled Data-to-Text Generation via Planning Authors: Yixuan Su, David Vandyke, Sihui Wang, Yimai Fang, and Nigel Collier Code

Yixuan Su 61 Jan 03, 2023
Hierarchical Memory Matching Network for Video Object Segmentation (ICCV 2021)

Hierarchical Memory Matching Network for Video Object Segmentation Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, Euntai Kim

Hongje Seong 72 Dec 14, 2022
The repository is for safe reinforcement learning baselines.

Safe-Reinforcement-Learning-Baseline The repository is for Safe Reinforcement Learning (RL) research, in which we investigate various safe RL baseline

172 Dec 19, 2022
Official PyTorch Implementation of Convolutional Hough Matching Networks, CVPR 2021 (oral)

Convolutional Hough Matching Networks This is the implementation of the paper "Convolutional Hough Matching Network" by J. Min and M. Cho. Implemented

Juhong Min 70 Nov 22, 2022
This GitHub repository contains code used for plots in NeurIPS 2021 paper 'Stochastic Multi-Armed Bandits with Control Variates.'

About Repository This repository contains code used for plots in NeurIPS 2021 paper 'Stochastic Multi-Armed Bandits with Control Variates.' About Code

Arun Verma 1 Nov 09, 2021
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

ild-cnn This is supplementary material for the manuscript: "Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neur

22 Nov 05, 2022
A custom DeepStack model that has been trained detecting ONLY the USPS logo

This repository provides a custom DeepStack model that has been trained detecting ONLY the USPS logo. This was created after I discovered that the Deepstack OpenLogo custom model I was using did not

Stephen Stratoti 9 Dec 27, 2022
The implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets.

Joint t-sne This is the implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets. abstract: We present Jo

IDEAS Lab 7 Dec 18, 2022
A code generator from ONNX to PyTorch code

onnx-pytorch Generating pytorch code from ONNX. Currently support onnx==1.9.0 and torch==1.8.1. Installation From PyPI pip install onnx-pytorch From

Wenhao Hu 94 Jan 06, 2023
Additional code for Stable-baselines3 to load and upload models from the Hub.

Hugging Face x Stable-baselines3 A library to load and upload Stable-baselines3 models from the Hub. Installation With pip Examples [Todo: add colab t

Hugging Face 34 Dec 10, 2022
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Densely Connected Convolutional Networks (DenseNets) This repository contains the code for DenseNet introduced in the following paper Densely Connecte

Zhuang Liu 4.5k Jan 03, 2023
Improving 3D Object Detection with Channel-wise Transformer

"Improving 3D Object Detection with Channel-wise Transformer" Thanks for the OpenPCDet, this implementation of the CT3D is mainly based on the pcdet v

Hualian Sheng 107 Dec 20, 2022
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling

NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling For Official repo of NU-Wave: A Diffusion Probabilistic Model for Neural Audio Up

Rishikesh (ऋषिकेश) 38 Oct 11, 2022
Automatic library of congress classification, using word embeddings from book titles and synopses.

Automatic Library of Congress Classification The Library of Congress Classification (LCC) is a comprehensive classification system that was first deve

Ahmad Pourihosseini 3 Oct 01, 2022
Release of the ConditionalQA dataset

ConditionalQA Datasets accompanying the paper ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers. Disclaimer This dataset

14 Oct 17, 2022
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Lbl2Vec Lbl2Vec is an algorithm for unsupervised document classification and unsupervised document retrieval. It automatically generates jointly embed

sebis - TUM - Germany 61 Dec 20, 2022
The modify PyTorch version of Siam-trackers which are speed-up by TensorRT.

SiamTracker-with-TensorRT The modify PyTorch version of Siam-trackers which are speed-up by TensorRT or ONNX. [Updating...] Examples demonstrating how

9 Dec 13, 2022
Unsupervised Discovery of Object Radiance Fields

Unsupervised Discovery of Object Radiance Fields by Hong-Xing Yu, Leonidas J. Guibas and Jiajun Wu from Stanford University. arXiv link: https://arxiv

Hong-Xing Yu 148 Nov 30, 2022
[SIGGRAPH Asia 2021] DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning.

DeepVecFont This is the homepage for "DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning". Yizhi Wang and Zhouhui Lian. WI

Yizhi Wang 17 Dec 22, 2022