Home / Data / AI Research Digest / Combating Data and Target Shifts in Visual Tasks Combating Data and Target Shifts in Visual Tasks AI Research Digest organizes records from OpenAlex API and arXiv API into a static table for transparent comparison. It preserves official source links and dates, marks missing enrichment, and adds deterministic grouping, change, recency, trend, or significance fields only where the documented inputs support them, without recommendations or unsupported claims.
Records 1,000
Last changed 08/30/2026
Update schedule 19 9 * * 1 UTC
Coverage 09/04/2026–09/04/2026
Title Combating Data and Target Shifts in Visual Tasks
Record Date 01/01/2031
Vuga Group Domain Adaptation and Few-Shot Learning
Change Status unchanged
Recency Days 0
Research Attention Score 100 Source 1 OurResearch, OpenAlex API · official record · retrieved 08/30/2026 · upstream last modified 01/01/2031
Licence OpenAlex metadata is available under CC0; linked full text is outside this feed. Source: OurResearch
Required notice The free API key budget is capped below the current $1 daily allowance; paid overage is disabled. Source 2 Cornell University, arXiv API · official record · retrieved 08/30/2026 · upstream last modified 01/01/2031
Licence Metadata is used under arXiv API terms; paper licences remain record-specific. Source: arXiv.org. What we add We compute Vuga Group, Change Status, Recency Days, Research Attention Score using the documented compute method. · methodology