{"id":20663804,"url":"https://github.com/vita-group/triple-wins","last_synced_at":"2025-04-19T15:56:19.666Z","repository":{"id":89847634,"uuid":"240167951","full_name":"VITA-Group/triple-wins","owner":"VITA-Group","description":"[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“","archived":false,"fork":false,"pushed_at":"2021-12-30T02:04:04.000Z","size":13863,"stargazers_count":24,"open_issues_count":1,"forks_count":7,"subscribers_count":12,"default_branch":"master","last_synced_at":"2025-03-29T09:42:11.461Z","etag":null,"topics":["adversarial-attacks","adversarial-robustness","efficiency","efficient-inference","robustness","triple-wins"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/VITA-Group.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2020-02-13T03:21:43.000Z","updated_at":"2024-05-11T02:15:48.000Z","dependencies_parsed_at":"2023-06-26T00:09:56.591Z","dependency_job_id":null,"html_url":"https://github.com/VITA-Group/triple-wins","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VITA-Group%2Ftriple-wins","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VITA-Group%2Ftriple-wins/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VITA-Group%2Ftriple-wins/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VITA-Group%2Ftriple-wins/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/VITA-Group","download_url":"https://codeload.github.com/VITA-Group/triple-wins/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249731414,"owners_count":21317342,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["adversarial-attacks","adversarial-robustness","efficiency","efficient-inference","robustness","triple-wins"],"created_at":"2024-11-16T19:19:54.920Z","updated_at":"2025-04-19T15:56:19.660Z","avatar_url":"https://github.com/VITA-Group.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Triple-Wins\n[ICLR 20] Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference\n\n## Prerequisite \nThis code requires `Pytorch 1.1.0`\n\n### BibTeX\n    @inproceedings{tkhu2019triplewins,\n    author={Ting{-}Kuei Hu and Tianlong Chen and Haotao Wang and Zhangyang Wang},\n    title ={Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference},\n    booktitle={ICLR},\n    year = {2020},\n    }\n### STATUS\nupload mnist code -- 2020/03/17\n\n### TODOS\nupload mnist pretrained model ( Done on 10/01/2021)\n\nupload cifar code ( Done on 10/01/2021)\n\nupload cifar pretrained model ( Done on 10/01/2021)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvita-group%2Ftriple-wins","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvita-group%2Ftriple-wins","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvita-group%2Ftriple-wins/lists"}