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List of curated survey papers in machine/deep learning

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awesome-ml-survey-papers

List of curated survey papers in machine/deep learning

Table of contents

  1. Transformers
  2. NLP
    1. Reading comprehension
    2. Text generation
    3. Question Answering
    4. Conversational
    5. Code generation
    6. Data augmentation
    7. Other
  3. Vision
    1. Images
    2. Image captioning
    3. Image segmentation
    4. Video
    5. Other
  4. Applications
    1. Medical
    2. Material science

Transformers

  1. A Survey of Transformers T Lin, Y Wang, X Liu, X Qiu - arXiv preprint arXiv:2106.04554, 2021
  2. Transformers in Vision: A Survey S Khan, M Naseer, M Hayat, SW Zamir… - arXiv preprint arXiv 2021
  3. A Survey on Vision Transformer Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo..- arXiv:2012.12556 arXiv 2021
  4. Practical Survey on Faster and Lighter Transformers Q Fournier, GM Caron, D Aloise - arXiv preprint arXiv:2103.14636, 2021
  5. Efficient transformers: A survey Y Tay, M Dehghani, D Bahri, D Metzler - arXiv preprint arXiv:2009.06732, 2020
  6. Survey: Transformer based Video-Language Pre-training Ludan Ruan, Qin Jin, 2021 - arXiv:2109.09920

NLP

Sub-categorized as below:

Reading comprehension

  1. A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets C Zeng, S Li, Q Li, J Hu, J Hu - Applied Sciences, 2020 - mdpi.com

Text generation

  1. Pretrained Language Models for Text Generation: A Survey Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen arXiv:2105.10311, 2021
  2. The survey: Text generation models in deep learning
  3. A survey of evaluation metrics used for NLG systems AB Sai, AK Mohankumar, MM Khapra - arXiv preprint arXiv:2008.12009, 2020
  4. Towards User-Centric Text-to-Text Generation: A Survey Diyi Yang, Lucie Flek

Question Answering

  1. Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua... 2021
  2. Conversational Question Answering: A Survey Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang.. 2021
  3. Visual question answering using deep learning: A survey and performance analysis Y Srivastava, V Murali, SR Dubey… - … Conference on Computer …, 2020
  4. Biomedical Question Answering: A Survey of Approaches and Challenges Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying.. 2021
  5. A survey on complex question answering over knowledge base: Recent advances and challenges B Fu, Y Qiu, C Tang, Y Li, H Yu, J Sun - arXiv preprint arXiv:2007.13069, 2020
  6. Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Survey Zahra Abbasiantaeb, Saeedeh Momtazi..2020

Conversational

  1. Conversational Question Answering: A Survey Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang.. 2021
  2. Advances in Multi-turn Dialogue Comprehension: A Survey Zhuosheng Zhang, Hai Zhao.. 2021

Code generation

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Data augmentation

  1. An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen, Derek Tam, Colin Raffel, Mohit Bansal, Diyi Yang., arXiv:2106.07499
  2. A Survey of Data Augmentation Approaches for NLP Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar,... arXiv:2105.03075
  3. A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data Shikun Zhang, Omid Jafari, Parth Nagarkar

Other

  1. A Survey of Race, Racism, and Anti-Racism in NLP Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov, arXiv:2106.11410, 2021
  2. Language (Technology) is Power: A Critical Survey of “Bias” in NLP Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna Wallach
  3. Representing Numbers in NLP: a Survey and a Vision Avijit Thawani, Jay Pujara, Pedro A. Szekely, Filip Ilievski, arXiv:2103.13136, 2021
  4. Visual-and-Language Navigation: A Survey and Taxonomy Wansen Wu, Tao Chang, Xinmeng Li, 2021

Vision

Sub-categorized as below:

Images

  1. A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Reinhard Koch.. 2021
  2. A Survey on Deep Visual Place Recognition C Masone, B Caputo , 2021
  3. Deep Learning for Image Super-resolution: A Survey Zhihao Wang, Jian Chen, Steven C. H. Hoi.. 2020
  4. A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images Irem Ulku, Erdem Akagunduz.. 2021
  5. Low-Light Image and Video Enhancement Using Deep Learning: A Survey Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy
  6. A Comprehensive Survey on Image Dehazing Based on Deep Learning Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao.. 2021
  7. Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey Görkem Algan, Ilkay Ulusoy.. 2021
  8. A survey on deep geometry learning: From a representation perspective YP Xiao, YK Lai, FL Zhang, C Li, L Gao - Computational Visual Media, 2020

Image captioning

  1. From Show to Tell: A Survey on Image Captioning Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi,.. 2021
  2. Image Captioning based on Deep Learning Methods: A Survey Yiyu Wang, Jungang Xu, Yingfei Sun, Ben He.. 2019
  3. A Comprehensive Survey of Deep Learning for Image Captioning Md. Zakir Hossain, Ferdous Sohel, Mohd Fairuz Shiratuddin, Hamid Laga
  4. A Survey on Biomedical Image Captioning Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos.. 2019

Image segmentation

  1. [Image Segmentation Using Deep Learning: A Survey Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos... 2020]
  2. A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time Georgios Takos

Video

  1. Video Question Answering: a Survey of Models and Datasets Guanglu Sun, Lili Liang, Tianlin Li, Bo Yu, Meng Wu & Bolun Zhang

Other

  1. A Survey of Hand Crafted and Deep Learning Methods for Image Aesthetic Assessment Saira Kanwal, Muhammad Uzair and Habib Ullah
  2. Deep Learning for Fine-Grained Image Analysis: A Survey Xiu-Shen Wei, Jianxin Wu, Quan Cui

Applications

Medical

  1. Deep learning-enabled medical computer vision A Esteva, K Chou, S Yeung, N Naik, A Madani… 2021
  2. Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab, Rehab Duwiari, 2021
  3. Medical Image Segmentation Using Deep Learning: A Survey Tao Lei, Risheng Wang, Yong Wan, Bingtao Zhang, Hongying Meng, Asoke K. Nandi.. 2021
  4. Deep Learning for Biomedical Image Reconstruction: A Survey Hanene Ben Yedder, Ben Cardoen, Ghassan Hamarneh
  5. A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis Chen Li, Pingli Ma, Md Mamunur Rahaman, Yudong Yao.. 2021
  6. A survey on shape-constraint deep learning for medical image segmentation Simon Bohlender, Ilkay Oksuz, Anirban Mukhopadhyay.. 2021

Material science

  1. MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, ... 2021
  2. Deep Learning the Electromagnetic Properties of Metamaterials—A Comprehensive Review Omar Khatib, Simiao Ren, Jordan Malof, Willie J. Padilla ... 2021

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List of curated survey papers in machine/deep learning

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