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eat your melons
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eat your melons

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@hslu-abiz @vm01-prejudice-bias-hotel-reviews @vm02-self-supervised-dermatology @mlbio-epfl @Digital-Dermatology

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  1. Digital-Dermatology/SelfClean Digital-Dermatology/SelfClean Public

    [NeurIPS 2024] 🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.

    Python 38 2

  2. Digital-Dermatology/SelfClean-Revised-Benchmarks Digital-Dermatology/SelfClean-Revised-Benchmarks Public

    [ML4H 2023] 🧼🔎 SelfClean revised versions of benchmark datasets for more reliable performance estimation.

    10

  3. mlbio-epfl/STRUCTURE mlbio-epfl/STRUCTURE Public

    [NeurIPS 2025] TL;DR: Aligning pretrained unimodal models with the proposed framework using limited paired data yields ~52% gains in cross-modality zero-shot classification and ~92% in retrieval.

    Python 25 2

  4. mlbio-epfl/Aristotelian mlbio-epfl/Aristotelian Public

    [ICML 2026] We revisit the Platonic Representation Hypothesis using calibrated representational similarity metrics with statistical guarantees.

    Python 42 3

  5. mlbio-epfl/PORTAL mlbio-epfl/PORTAL Public

    [NeurIPS 2026] PORTAL shows that multimodal-LLM projector alignment is largely coarse distribution matching, enabling a training-free optimal-transport initialization that skips paired Stage-I data…

    Python 4

  6. mlbio-epfl/COMPASS mlbio-epfl/COMPASS Public

    [NeurIPS 2026] COMPASS is a cheap and theoretically grounded pre-transfer diagnostic that predicts whether two pretrained models will align or merge successfully by measuring local k-NN agreement t…

    Python 1