{
  "id": 6523617,
  "title": "One Loop, Two Gains: Can Active Learning win the Lottery for Free?",
  "url": "https://urgent.news/2026/09/09/one-loop-two-gains-can-active-learning-win-the-lottery-for-free",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-09T15:18:37.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.10311v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The lottery ticket hypothesis posits the existence of winning tickets: sparse subnetworks that, when trained in isolation from their original initialization, match the accuracy of the full dense network. The predominant method for discovering such tickets, iterative magnitude pruning, alternates pruning with full retraining from scratch until convergence over many cycles. Similarly, deep active…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}