2601.08991v2.pdf
Extension
Size
1 MiB
Media Type
application/pdf
SHA-256 is a widely used cryptographic hash function.
This sequence of letters and numbers can be used as a unique identifier for this file
File Hash: SHA-256
c524389190dbe64e1bac18685f03dcbd4f309d9f77ada14b6ff4b72a8c0a8eb2
Annotations
Structured records describing the file.
Read moreTitle
Optimising for Energy Efficiency and Performance in Machine Learning
Keywords
machine learning, energy efficiency, multi-objective optimisation, hyperparameter tuning
Version
1.7
Page Count
12
Subject
- Computing methodologies -> Machine learning.Computer vision.Natural language processing.- General and reference -> Empirical studies.- Hardware -> Power estimation and optimization.
Producer
pikepdf 8.15.1
arXiv Dataset
Source: Model
{
"dorsal/arxiv": [
{
"date_modified": "2026-02-17T05:53:20.018000Z",
"hash": "c524389190dbe64e1bac18685f03dcbd4f309d9f77ada14b6ff4b72a8c0a8eb2",
"id": "ec4298b7-8355-4441-8eec-cd0ae71d46cd",
"source": {
"execution_id": "83b7f138-eaa1-4fda-bdbe-745cecf0ab30",
"id": "arXiv Dataset",
"type": "Model",
"variant": "snapshot-2026-01-17",
"version": "0.1.0"
},
"user_id": 1000002
}
],
"file/base": {
"record": {
"extension": ".pdf",
"hash": "c524389190dbe64e1bac18685f03dcbd4f309d9f77ada14b6ff4b72a8c0a8eb2",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.08991v2.pdf",
"size": 1250771
},
"source": {
"execution_id": "b7ac4ab4-c2e7-4f6d-9219-35dfd2af20cd",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"creation_date": "2026-01-26T01:09:33Z",
"keywords": [
"machine learning",
"energy efficiency",
"multi-objective optimisation",
"hyperparameter tuning"
],
"modified_date": "2026-01-26T01:09:33Z",
"page_count": 12,
"producer": "pikepdf 8.15.1",
"subject": "- Computing methodologies -\u003e Machine learning.Computer vision.Natural language processing.- General and reference -\u003e Empirical studies.- Hardware -\u003e Power estimation and optimization.",
"title": "Optimising for Energy Efficiency and Performance in Machine Learning",
"version": "1.7"
},
"source": {
"execution_id": "ffd4b359-44c4-411f-9c1a-661c4e94495b",
"id": "dorsal/pdf",
"type": "Model",
"version": "1.1.0"
}
}
}
The number of unique users who have indexed this public file record
The date this file's metadata was first publicly indexed by any user.
The most recent date this file's metadata was publicly indexed by any user.
File Statistics
- Views:
- 22
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17