{"action":"opened","issue":{"url":"https://api.github.com/repos/mingyuliutw/UNIT/issues/57","repository_url":"https://api.github.com/repos/mingyuliutw/UNIT","labels_url":"https://api.github.com/repos/mingyuliutw/UNIT/issues/57/labels{/name}","comments_url":"https://api.github.com/repos/mingyuliutw/UNIT/issues/57/comments","events_url":"https://api.github.com/repos/mingyuliutw/UNIT/issues/57/events","html_url":"https://github.com/mingyuliutw/UNIT/issues/57","id":300665792,"number":57,"title":"Discriminator update rule in domain adaptation and domain translation","user":{"login":"adrienchaton","id":35500385,"avatar_url":"https://avatars2.githubusercontent.com/u/35500385?v=4","gravatar_id":"","url":"https://api.github.com/users/adrienchaton","html_url":"https://github.com/adrienchaton","followers_url":"https://api.github.com/users/adrienchaton/followers","following_url":"https://api.github.com/users/adrienchaton/following{/other_user}","gists_url":"https://api.github.com/users/adrienchaton/gists{/gist_id}","starred_url":"https://api.github.com/users/adrienchaton/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/adrienchaton/subscriptions","organizations_url":"https://api.github.com/users/adrienchaton/orgs","repos_url":"https://api.github.com/users/adrienchaton/repos","events_url":"https://api.github.com/users/adrienchaton/events{/privacy}","received_events_url":"https://api.github.com/users/adrienchaton/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-02-27T15:03:41Z","updated_at":"2018-02-27T15:03:41Z","closed_at":null,"author_association":"NONE","body":"Dear M. Liu,\r\n\r\nI am studying your paper that I found very interesting, thank you for sharing your research !\r\nI read the other issues/questions asked, where you pointed that some explanations were not given in the paper, about that I would like to ask you more details about the domain adaptation experiment.\r\n\r\nCould you explain the discriminator update rule and more precisely when you compute:\r\nfeature_loss_a = self._compute_ll_loss(fake_feat_ab - fake_feat_aa, dummy_variable)\r\nfeature_loss_b = self._compute_ll_loss(fake_feat_ba - fake_feat_bb, dummy_variable)\r\n(cocogan_trainer_da.py lines 102-103)\r\n\r\nAlso, my experiments focus more on domain translation than domain adaptation.\r\nFor that purpose, is this update rule still relevant ?\r\n\r\nThank you for your answer.\r\nAdrien"}}
{"actor":{"display_login":"adrienchaton"}}