Merge pull request #3 from BeachWang/main

fix readme
tinyvision · Sep 5, 2023 · 0050c7a · 0050c7a
2 parents 419017d + 22a6982
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diff --git a/.idea/.gitignore b/.idea/.gitignore
diff --git a/.idea/PreNAS.iml b/.idea/PreNAS.iml
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
diff --git a/.idea/modules.xml b/.idea/modules.xml
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
diff --git a/README.md b/README.md
@@ -6,7 +6,7 @@ as confirmed by its superior performance when the code is released.
 
 >Wang H, Ge C, Chen H and Sun X. PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search. ICML 2023.
 
-Paper link: [Arxiv](https://arxiv.org/abs/2304.14636)
+Paper link: [arXiv](https://arxiv.org/abs/2304.14636)
 
 ## Overview
 <br>
@@ -19,7 +19,7 @@ advance selected architectures from the zero-cost search.
 
 ## Environment Setup
 
-To set up the enviroment you can easily run the following command:
+To set up the environment you can easily run the following command:
 ```buildoutcfg
 conda create -n PreNAS python=3.7
 conda activate PreNAS
@@ -55,7 +55,7 @@ The code was run on 8 x 80G A100.
 
 If PreNAS is useful for you, please consider to cite it. Thank you! :)
 ```bibtex
-@InProceedings{AutoFormer,
+@InProceedings{PreNAS,
     title     = {PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search},
     author    = {Wang, Haibin and Ge, Ce and Chen, Hesen and Sun, Xiuyu},
     booktitle = {International Conference on Machine Learning (ICML)},