{"id":20826832,"url":"https://github.com/arkaung/arkaung.github.io","last_synced_at":"2026-03-19T17:42:47.164Z","repository":{"id":70134898,"uuid":"79731804","full_name":"ArkAung/arkaung.github.io","owner":"ArkAung","description":"Ark's Log","archived":false,"fork":false,"pushed_at":"2023-01-14T02:44:38.000Z","size":95,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-10-25T05:49:40.818Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"unlicense","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ArkAung.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-01-22T17:09:01.000Z","updated_at":"2023-05-14T15:51:37.000Z","dependencies_parsed_at":"2023-02-21T14:46:14.587Z","dependency_job_id":null,"html_url":"https://github.com/ArkAung/arkaung.github.io","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ArkAung/arkaung.github.io","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArkAung%2Farkaung.github.io","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArkAung%2Farkaung.github.io/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArkAung%2Farkaung.github.io/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArkAung%2Farkaung.github.io/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ArkAung","download_url":"https://codeload.github.com/ArkAung/arkaung.github.io/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ArkAung%2Farkaung.github.io/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29580808,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-18T08:38:15.585Z","status":"ssl_error","status_checked_at":"2026-02-18T08:38:14.917Z","response_time":162,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-17T23:10:13.261Z","updated_at":"2026-02-18T13:32:56.649Z","avatar_url":"https://github.com/ArkAung.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Arkar Min Aung\n## Deep Learning Engineer\n* [Code](https://www.github.com/arkaung)\n* [Writing](https://medium.com/@ark_aung)\n* [Google Scholar](https://scholar.google.com/citations?user=KRZfXJQAAAAJ)\n* Email: \u003caaung@pm.me\u003e\n\n## Get in touch with me if you are:\n* Interested in conducting various experiments for [forward-forward algorithm](https://www.cs.toronto.edu/~hinton/FFA13.pdf).\n  * I am exploring using different overlaying paradigms for positive and negative data when training with FFA.\n  * I am exploring hybrid apporaches where we train parts of the network with FFA and other parts with back propagation.\n* Interested in self-driving cars, measuring uncertainty in deep neural networks, active learning and knowledge distillation.\n\n### I organize\n* [AI Discussions](https://arkaung.github.io/aidiscussions/)\n* Independent research group working on a novel active learning technique using knowledge distillation. For more info on this, please send me an email.\n\n### Papers I recently read\n* [The Forward-Forward Algorithm: Some Preliminary Investigations](https://www.cs.toronto.edu/~hinton/FFA13.pdf)\n* [Hydra: Preserving Ensemble Diversity for Model Distillation ](https://openreview.net/forum?id=ByeaXeBFvH)\n* [Subclass distillation](https://arxiv.org/pdf/2002.03936.pdf)\n* [Learning Active Learning from Data](https://papers.nips.cc/paper/7010-learning-active-learning-from-data.pdf)\n* [AutoML-Zero: Evolving Machine Learning Algorithms From Scratch](https://arxiv.org/pdf/2003.03384.pdf)\n\n---\n\n### If you are coming here from LeetCode and want to see my posts there:\n\n| Difficulty | Question                                                                                                                | Solution With Diagram                                                                                                                                                        |\n|------------|-------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n|   Easy     | [1232. Check If It Is a Straight Line](https://leetcode.com/problems/check-if-it-is-a-straight-line/)                   | [1232. Check If It Is a Straight Line - [Python] O(1) space O(n) Runtime - using slope formula](https://leetcode.com/discuss/topic/620137)                                   |\n|   Medium   | [525. Contiguous Array](https://leetcode.com/problems/contiguous-array/)                                                | [525. Contiguous Array - [Python] HashMap solution + Thinking Process Diagram](https://leetcode.com/discuss/topic/653541)                                                    |\n|   Medium   | [1143. Longest Common Subsequence](https://leetcode.com/problems/longest-common-subsequence/)                           | [1143. Longest Common Subsequence - [Python] DP solution with Explanation + Thinking process + Diagram](https://leetcode.com/discuss/topic/598508)                           |\n|   Medium   | [91. Decode Ways](https://leetcode.com/problems/decode-ways/)                                                           | [91. Decode Ways - [Python] Thinking process diagram (DP + DFS)](https://leetcode.com/discuss/topic/608268)                                                                  |\n|   Medium   | [1277. Count Square Submatrices with All Ones](https://leetcode.com/problems/count-square-submatrices-with-all-ones/)   | [1277. Count Square Submatrices with All Ones - [Python] DP Solution + Thinking Process Diagrams (O(mn) runtime; O(1) space)](https://leetcode.com/discuss/topic/643429)     |\n|   Medium   | [221. Maximal Square](https://leetcode.com/problems/maximal-square/)                                                    | [221. Maximal Square - [Python] Thinking Process Diagrams - DP Approach](https://leetcode.com/discuss/topic/600149)                                                          |\n|   Medium   | [986. Interval List Intersections](https://leetcode.com/problems/interval-list-intersection)                            | [986. Interval List Intersections - [Python] Two Pointer Approach + Thinking Process Diagrams](https://leetcode.com/discuss/topic/647482)                                    |\n|   Hard     | [124. Binary Tree Maximum Path Sum](https://leetcode.com/problems/binary-tree-maximum-path-sum/)                        | [124. Binary Tree Maximum Path Sum - [Python] Recursion stack thinking process diagram](https://leetcode.com/discuss/topic/603423)                                           |\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farkaung%2Farkaung.github.io","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farkaung%2Farkaung.github.io","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farkaung%2Farkaung.github.io/lists"}