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NeurIPS 2026U Illinois Urbana-ChampaignWashington StateVinmec Times City International VinUniversityHanoi University of Science and Efficient & distributed training

Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation

NICER reformulates whole-slide image condensation as nonparametric distribution matching, improving self-supervised learning accuracy by 7.44% over heuristic methods.

Duong Nguyen, Nghia Hoang, Hang T Nguyen, Thanh Trung Huynh and 2 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
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NeurIPS 2026U Illinois at Urbana-ChampaignCS @ UIUCU IllinoisU Illinois Urbana-ChampaignMachine unlearning

You Can’t Have It Both Ways: Concept Entanglement Limits Diffusion Model Unlearning

Concept entanglement in diffusion models forces a trade-off where robust unlearning of a target necessarily damages overlapping concepts proportionally to their overlap.

Yian Wang, Ali Ebrahimpour-Boroojeny, Hari Sundaram, Varun Chandrasekaran

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 4/5
80%Must read
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NeurIPS 2026U Illinois Urbana-ChampaignU Illinois at Urbana-ChampaignU IllinoisU Illinois, Urbana ChampaignRemote sensing

LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift

LESSViT enables robust cross-sensor hyperspectral representation via low-rank spatial-spectral attention, channel-agnostic embeddings, and masked pretraining with decoupled masking and hierarchical sampling.

Haozhe Si, Yuxuan Wan, Yuqing Wang, Minh Do and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5