Update README.md

README.md

@@ -131,6 +131,7 @@ Ninghui Sun. ACM Transactions on Architecture and Code Optimization (TACO), 2015
 
 
 #### Domain-specific Optimisation
+- <img src="https://img.shields.io/badge/12-pages-green.svg" alt="12-pages" align="top"> [Collage: Automated Integration of Deep Learning Backends](https://arxiv.org/pdf/2111.00655.pdf) - Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia. arXiV 2022
 - <img src="https://img.shields.io/badge/15-pages-green.svg" alt="15-pages" align="top"> [Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks](https://www.cs.columbia.edu/~rgu/publications/pldi20-yao.pdf) - J. Yao, G. Ryan, J. Wong, S. Jana, and R. Gu. PLDI 2020. 
 - <img src="https://img.shields.io/badge/16-pages-green.svg" alt="16-pages" align="top"> [Learning-based Memory Allocation for C++ Server Workloads](https://www.cs.utexas.edu/users/mckinley/papers/llama-asplos-2020.pdf) - Maas, Martin, David G. Andersen, Michael Isard, Mohammad Mahdi Javanmard, Kathryn S. McKinley, and Colin Raffel. ASPLOS 2020. [presetnation](https://www.youtube.com/watch?v=gs8m5W-xdDM&feature=emb_title)
 - <img src="https://img.shields.io/badge/15-pages-green.svg" alt="15-pages" align="top"> [Bridging the gap between deep learning and sparse matrix format selection](https://people.engr.ncsu.edu/xshen5/Publications/ppopp18.pdf) - Yue Zhao, Jiajia Li, Chunhua Liao and Xipeng Shen. PPoPP 2018. 
@@ -150,7 +151,6 @@ Compilable C Benchmarks for Code-Size Reduction](https://homepages.dcc.ufmg.br/~
 - <img src="https://img.shields.io/badge/9-pages-green.svg" alt="9-pages" align="top"> [Optimizing for reduced code space using genetic algorithms](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.13.1586&rep=rep1&type=pdf) - Keith D. Cooper, Philip J. Schielke, and Devika Subramanian. LCTES 1999. 
 
 #### Cost and Performance Models
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 - <img src="https://img.shields.io/badge/14-pages-green.svg" alt="14-pages" align="top"> [Neural Network-based Performance Prediction for Task Migration on S-NUCA Many-Cores](https://ieeexplore.ieee.org/document/9190026) - Martin Rapp, Anuj Pathania, Tulika Mitra, Jörg Henkel, IEEE Transactions on Computers, 2021. 
 - <img src="https://img.shields.io/badge/13-pages-green.svg" alt="13-pages" align="top"> [A Deep Learning Based Cost Model for Automatic Code Optimization](https://proceedings.mlsys.org/paper/2021/file/3def184ad8f4755ff269862ea77393dd-Paper.pdf) - Riyadh Baghdadi, Massinissa Merouani, Mohamed-Hicham LEGHETTAS, Kamel Abdous, Taha Arbaoui, Karima BENATCHBA, Saman amarasinghe, MLSys 2021
 - <img src="https://img.shields.io/badge/11-pages-green.svg" alt="11-pages" align="top"> [Comparative Code Structure Analysis using Deep Learning for Performance Prediction](https://arxiv.org/abs/2102.07660) - Nathan Pinnow, Tarek Ramadan, Tanzima Z. Islam, Chase Phelps, Jayaraman J. Thiagarajan, ISPASS 2021