Good Papers

Showing papers from Queen Mary University London Show all papers

57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026DGISTQueen Mary University of LondonQueen Mary University LondonYonsei Univ.Vision-language models

Spatial Representation Distillation and Knowledge Routing for Vision-Language-Action Models

Jungin Park, Chaoran Zhu, Changjae Oh, Kwanghoon Sohn

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
80%Must read
?Must readVote to see the score
NeurIPS 2026Queen Mary University LondonAmazonUtrechtSemi- & weakly supervised learning

An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration

Human soft-labels improve calibration and training stability by regularizing models and mirroring human uncertainty, mainly via regularization rather than correcting mislabeled data.

Maja Pavlovic, Silviu Paun, Massimo Poesio

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5