{
  "id": 7691961,
  "title": "Sample-Conditioned Representation Selection for Audio Few-Shot Learning",
  "url": "https://urgent.news/2026/09/15/sample-conditioned-representation-selection-for-audio-few-shot",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-15T12:15:12.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.17076v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Few-shot audio classifiers may rely on foreground-background co-occurrences and fail when those correlations shift. On SpurAudio, the resulting representation shift is concentrated and class dependent: for ResNet12, the top 10 percent of channels explain 82.80 percent of the null-corrected shift contribution. We propose SAMPLESELECT, which predicts a fixed-budget feature mask independently for…",
  "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."
}