Update README.md

README.md

@@ -5,6 +5,7 @@ size_categories:
 ---
 Dataset for the evaluation of data-unlearning techniques using KLOM (KL-divergence of Margins).
 
+# How KLOM works:
 KLOM works by:
 1. training N models (original models)
 2. Training N fully-retrained models (oracles) on forget set F
@@ -12,24 +13,14 @@ KLOM works by:
 4. Comparing the outputs of the unlearned models from the retrained models on different points
   (specifically, computing the KL divergence between the distribution of _margins_ of oracle models and distribution of _margins_ of the unlearned models)
 
-Originally proposed in the work Attribute-to-Delete: Machine Unlearning via Datamodel Matching (https://arxiv.org/abs/2410.23232).
+Originally proposed in the work Attribute-to-Delete: Machine Unlearning via Datamodel Matching (https://arxiv.org/abs/2410.23232), described in detail in E.1.
 
-Outline of how KLOM works:
+**Outline of how KLOM works:**
 ![Image 5-4-25 at 9.21 PM.jpg](https://cdn-uploads.huggingface.co/production/uploads/6625510c9277b825c8c71418/RcbE1ucGOYgTnoRJmSKa4.jpeg)
 
 
-How to Cite:
-```
-@misc{georgiev2024attributetodeletemachineunlearningdatamodel,
-      title={Attribute-to-Delete: Machine Unlearning via Datamodel Matching}, 
-      author={Kristian Georgiev and Roy Rinberg and Sung Min Park and Shivam Garg and Andrew Ilyas and Aleksander Madry and Seth Neel},
-      year={2024},
-      eprint={2410.23232},
-      archivePrefix={arXiv},
-      primaryClass={cs.LG},
-      url={https://arxiv.org/abs/2410.23232}, 
-}
-```
+**Algorithm Description:**
+![Image 5-4-25 at 9.24 PM.jpg](https://cdn-uploads.huggingface.co/production/uploads/6625510c9277b825c8c71418/N3vJmc6rfQ5MLMjXSCIGZ.jpeg)
 
 # Structure of Data
 
@@ -84,4 +75,19 @@ git checkout main
 Example how to run script:
 ```
 bash download_folder.sh oracles/CIFAR10/forget_set_3
+```
+
+
+
+# How to Cite:
+```
+@misc{georgiev2024attributetodeletemachineunlearningdatamodel,
+      title={Attribute-to-Delete: Machine Unlearning via Datamodel Matching}, 
+      author={Kristian Georgiev and Roy Rinberg and Sung Min Park and Shivam Garg and Andrew Ilyas and Aleksander Madry and Seth Neel},
+      year={2024},
+      eprint={2410.23232},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2410.23232}, 
+}
 ```