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On December 3, 2024 at 10:36:04 AM UTC, admin:
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Changed value of field
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in Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay -
Changed value of field
doi_date_published
to2024-12-03
in Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay -
Added resource Original Metadata to Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay
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2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Khanh Doan", | 3 | "author": "Khanh Doan", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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7 | "defined_in": "https://doi.org/10.48550/arXiv.2312.06710", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2312.06710", | ||
8 | "doi": "10.57702/i1b1a1qi", | 8 | "doi": "10.57702/i1b1a1qi", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-03", |
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13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Quyen Tran", | 15 | "extra_author": "Quyen Tran", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Tuan Nguyen", | 19 | "extra_author": "Tuan Nguyen", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Dinh Phung", | 23 | "extra_author": "Dinh Phung", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Trung Le", | 27 | "extra_author": "Trung Le", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | } | 29 | } | ||
30 | ], | 30 | ], | ||
31 | "groups": [ | 31 | "groups": [ | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Continual Learning", | 34 | "display_name": "Continual Learning", | ||
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36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "continual-learning", | 37 | "name": "continual-learning", | ||
38 | "title": "Continual Learning" | 38 | "title": "Continual Learning" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "description": "", | 41 | "description": "", | ||
42 | "display_name": "Generative Replay", | 42 | "display_name": "Generative Replay", | ||
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44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
45 | "name": "generative-replay", | 45 | "name": "generative-replay", | ||
46 | "title": "Generative Replay" | 46 | "title": "Generative Replay" | ||
47 | } | 47 | } | ||
48 | ], | 48 | ], | ||
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50 | "isopen": false, | 50 | "isopen": false, | ||
51 | "landing_page": "https://github.com/dnkhanh45/CPDM", | 51 | "landing_page": "https://github.com/dnkhanh45/CPDM", | ||
52 | "license_title": null, | 52 | "license_title": null, | ||
53 | "link_orkg": "", | 53 | "link_orkg": "", | ||
54 | "metadata_created": "2024-12-03T10:36:02.957471", | 54 | "metadata_created": "2024-12-03T10:36:02.957471", | ||
n | 55 | "metadata_modified": "2024-12-03T10:36:02.957477", | n | 55 | "metadata_modified": "2024-12-03T10:36:03.317287", |
56 | "name": | 56 | "name": | ||
57 | tional-diffusion-model-for-continual-learning-with-generative-replay", | 57 | tional-diffusion-model-for-continual-learning-with-generative-replay", | ||
58 | "notes": "The paper proposes a Class-Prototype conditional Diffusion | 58 | "notes": "The paper proposes a Class-Prototype conditional Diffusion | ||
59 | Model (CPDM) for continual learning with generative replay. The model | 59 | Model (CPDM) for continual learning with generative replay. The model | ||
60 | uses a diffusion-based generator and a classifier to mitigate | 60 | uses a diffusion-based generator and a classifier to mitigate | ||
61 | catastrophic forgetting in classifiers.", | 61 | catastrophic forgetting in classifiers.", | ||
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63 | "num_tags": 4, | 63 | "num_tags": 4, | ||
64 | "organization": { | 64 | "organization": { | ||
65 | "approval_status": "approved", | 65 | "approval_status": "approved", | ||
66 | "created": "2024-11-25T12:11:38.292601", | 66 | "created": "2024-11-25T12:11:38.292601", | ||
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79 | "relationships_as_subject": [], | 79 | "relationships_as_subject": [], | ||
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99 | "mls:task", | ||||
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102 | "description": "The json representation of the dataset with its | ||||
103 | distributions based on DCAT.", | ||||
104 | "format": "JSON", | ||||
105 | "hash": "", | ||||
106 | "id": "5cd3c57a-be72-4272-b273-cc9a347c9ccf", | ||||
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109 | "mimetype": "application/json", | ||||
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111 | "name": "Original Metadata", | ||||
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81 | "services_used_list": "", | 122 | "services_used_list": "", | ||
82 | "state": "active", | 123 | "state": "active", | ||
83 | "tags": [ | 124 | "tags": [ | ||
84 | { | 125 | { | ||
85 | "display_name": "Catastrophic Forgetting", | 126 | "display_name": "Catastrophic Forgetting", | ||
86 | "id": "a43d8e07-11e1-4c32-a79a-d34f2a4be644", | 127 | "id": "a43d8e07-11e1-4c32-a79a-d34f2a4be644", | ||
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89 | "vocabulary_id": null | 130 | "vocabulary_id": null | ||
90 | }, | 131 | }, | ||
91 | { | 132 | { | ||
92 | "display_name": "Class-Prototype", | 133 | "display_name": "Class-Prototype", | ||
93 | "id": "72f2825b-9ad1-43b5-8a3e-3fa225404b0e", | 134 | "id": "72f2825b-9ad1-43b5-8a3e-3fa225404b0e", | ||
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96 | "vocabulary_id": null | 137 | "vocabulary_id": null | ||
97 | }, | 138 | }, | ||
98 | { | 139 | { | ||
99 | "display_name": "Diffusion Model", | 140 | "display_name": "Diffusion Model", | ||
100 | "id": "58338b8b-5197-437c-8b7d-bf2c2149395a", | 141 | "id": "58338b8b-5197-437c-8b7d-bf2c2149395a", | ||
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103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
104 | }, | 145 | }, | ||
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109 | "state": "active", | 150 | "state": "active", | ||
110 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
111 | } | 152 | } | ||
112 | ], | 153 | ], | ||
113 | "title": "Class-Prototype Conditional Diffusion Model for Continual | 154 | "title": "Class-Prototype Conditional Diffusion Model for Continual | ||
114 | Learning with Generative Replay", | 155 | Learning with Generative Replay", | ||
115 | "type": "dataset", | 156 | "type": "dataset", | ||
116 | "version": "" | 157 | "version": "" | ||
117 | } | 158 | } |