pith:GUGLZKSU
Gradient-Discrepancy Acquisition for Pool-Based Active Learning
A gradient-discrepancy measure derived from a generalization bound serves as an effective acquisition criterion for pool-based active learning.
arxiv:2605.02609 v2 · 2026-05-04 · cs.LG
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\pithnumber{GUGLZKSUF3OFTPBIIH6UGDPKLX}
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Claims
A novel gradient-based acquisition criterion, derived from a generalization bound introduced by Luo et al. (2022), can be applied in lieu of uncertainty measures in uncertainty sampling or incorporated into diversity-based methods.
The generalization bound from Luo et al. (2022) can be directly leveraged to create an acquisition criterion that effectively identifies informative points beyond standard uncertainty or diversity measures.
Introduces gradient-discrepancy acquisition criterion derived from Luo et al. (2022) generalization bound for active learning.
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Receipt and verification
| First computed | 2026-05-20T00:01:42.554266Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
350cbcaa542edc59bc2841fd430dea5dd764be841af08d21e9c0fe321a6664ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GUGLZKSUF3OFTPBIIH6UGDPKLX \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 350cbcaa542edc59bc2841fd430dea5dd764be841af08d21e9c0fe321a6664ce
Canonical record JSON
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