{ "schema_version": 1, "title": "Repro - Variational Adapter for Cross-modal Similarity Representation", "emoji": "🎯", "space_id": "Sor0ush/repro-vacsr-variational-adapter-cross-modal-similarity", "paper": { "arxiv_id": "2605.30968", "openreview_id": "BkZ40FNKlL", "title": "Variational Adapter for Cross-modal Similarity Representation" }, "tags": [ "icml2026-repro", "paper-BkZ40FNKlL" ], "updated_at": "2026-07-15T23:10:27+00:00", "root": { "slug": "index", "title": "Repro - Variational Adapter for Cross-modal Similarity Representation", "file": "pages/index.md", "children": [ { "slug": "claim-1-vacsr-architecture-with-gmm-variational-adapter", "title": "Claim 1: VACSR architecture with GMM variational adapter", "file": "pages/claim-1-vacsr-architecture-with-gmm-variational-adapter/page.md", "children": [] }, { "slug": "claim-2-domain-generalization-on-imagenet-variants", "title": "Claim 2: Domain generalization on ImageNet variants", "file": "pages/claim-2-domain-generalization-on-imagenet-variants/page.md", "children": [] }, { "slug": "claim-3-base-to-novel-generalization-across-11-datasets", "title": "Claim 3: Base-to-novel generalization across 11 datasets", "file": "pages/claim-3-base-to-novel-generalization-across-11-datasets/page.md", "children": [] }, { "slug": "claim-4-distributional-optimization-loss-l-sigma", "title": "Claim 4: Distributional optimization loss L_sigma", "file": "pages/claim-4-distributional-optimization-loss-l-sigma/page.md", "children": [] }, { "slug": "claim-5-uncertainty-vs-r-1-correlation", "title": "Claim 5: Uncertainty vs R@1 correlation", "file": "pages/claim-5-uncertainty-vs-r-1-correlation/page.md", "children": [] }, { "slug": "claim-6-gmm-ablation-study", "title": "Claim 6: GMM ablation study", "file": "pages/claim-6-gmm-ablation-study/page.md", "children": [] }, { "slug": "conclusion", "title": "Conclusion", "file": "pages/conclusion/page.md", "children": [] } ] }, "agent_view_tokens": 2577, "revision": "1784157027678783270" }