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Add paper about NeuroEvolution and SSL #136

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Add paper about NeuroEvolution and SSL #136

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14 changes: 9 additions & 5 deletions README.md
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- Hsin-Ying Lee, Jia-Bin Huang, Maneesh Kumar Singh, and Ming-Hsuan Yang. *ICCV 2017*

#### 2018

- Unsupervised Feature Learning via Non-parameteric Instance Discrimination
[[pdf]](https://arxiv.org/pdf/1805.01978.pdf)
[[code]](https://github.com/zhirongw/lemniscate.pytorch)
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- Aravindh Mahendran, James Thewlis, Andrea Vedaldi. *ACCV 2018*

#### 2019

- Representation Learning with Contrastive Predictive Coding.
[[pdf]](https://arxiv.org/abs/1807.03748)
- Aaron van den Oord, Yazhe Li, Oriol Vinyals.
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[[code]](https://github.com/DeepSceneSeg/SSMA)
- Abhinav Valada, Rohit Mohan, and Wolfram Burgard. *IJCV 2019*


#### 2020
- A critical analysis of self-supervision, or what we can learn from a single image
[[pdf]](https://arxiv.org/pdf/1904.13132)
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- VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
[[pdf]](https://arxiv.org/abs/2105.04906)
- Adrien Bardes, Jean Ponce, Yann LeCun. *ICLR 2022*
- Adrien Bardes, Jean Ponce, Yann LeCun. *ICLR 2022*

#### 2023
- Inter-Instance Similarity Modeling for Contrastive Learning
[[pdf]](https://arxiv.org/abs/2306.12243)
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- Asymmetric Patch Sampling for Contrastive Learning
[[pdf]](https://arxiv.org/abs/2306.02854)
[[code]](https://github.com/visresearch/aps)
- Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang.
- Chengchao Shen, Jianzhong Chen, Shu Wang, Hulin Kuang, Jin Liu, Jianxin Wang.

#### 2024
- Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
[[pdf]](https://arxiv.org/pdf/2406.14525)
[[code]](https://github.com/cdvetal/evodenss)
- Adriano Vinhas, João Correia, Penousal Machado. *CEC 2024*

### Video Representation Learning

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