Good Papers

Showing papers from Utrecht University Show all papers

45%Niche pick
?Niche pickVote to see the score

Robust Stream Classification using Time Neutralising Decision Trees

Brandon Gower-Winter, Georg Krempl

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Geometry is an Operator: Lie-Algebraic Space Routing for View-Robust 3D MLLMs

Jingjun Yi, Chen Hu, Qi Bi, Hao Zheng and 6 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Training-free Focus-Ambient Retention for Memory-Efficient Video Large Language Models

Haozheng Zeng, Qi Bi, Gui-Song Xia

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · 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

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