Leonie Bossemeyer
@bossemel.bsky.social
📤 268
📥 831
📝 7
PhD student at The University of Edinburgh
pinned post!
From medicine to geo-guessing, humans can get incredibly good at solving visual recognition tasks. But how is this skill learned, and can we model its progression? We present CleverBirds, accepted
#NeurIPS2025
, a large-scale benchmark for visual knowledge tracing. 📄
arxiv.org/abs/2511.08512
1/5
loading . . .
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
Mastering fine-grained visual recognition, essential in many expert domains, can require that specialists undergo years of dedicated training. Modeling the progression of such expertize in humans rema...
http://arxiv.org/abs/2511.08512
2 months ago
1
7
6
reposted by
Leonie Bossemeyer
FGVC Workshop
8 days ago
FGVC's not dead! The 13th Workshop on Fine-Grained Visual Categorization has been accepted to CVPR 2026, in Denver, Colorado! CALL FOR PAPERS:
sites.google.com/view/fgvc13/
From Ecology to Medical Imagining, join us as we tackle the long tail and the limits of visual discrimination!
#CVPR2026
#AI
1
20
11
reposted by
Leonie Bossemeyer
Oisin Mac Aodha
16 days ago
We have two open PhD positions at the interface of AI and ecology. Start dates are Sept 2026. We are looking for candidates with a background in AI/CS, Math, Stats, or Physics that are passionate about solving challenging problems in these domains. Application deadline is in two weeks.
1
19
14
I will be presenting this work from 11AM-2PM at
#NeurIPS2025
in San Diego today! Come by poster #2012 to learn more :)
add a skeleton here at some point
about 2 months ago
0
2
1
Heading to San Diego now for NeurIPS! Send me a message if you want to meet and chat about CV & human learning, or meet me at the poster session Thursday morning where I'll present CleverBirds:
arxiv.org/abs/2511.08512
loading . . .
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
Mastering fine-grained visual recognition, essential in many expert domains, can require that specialists undergo years of dedicated training. Modeling the progression of such expertize in humans rema...
http://arxiv.org/abs/2511.08512
about 2 months ago
0
2
0
reposted by
Leonie Bossemeyer
Neehar Kondapaneni
2 months ago
Excited to share our paper Representational Difference Explanations (RDX) was accepted to
#NeurIPS2025
! 🎉RDX is a new method for model diffing designed to isolate 🔍 representational differences. 1/7
1
8
6
From medicine to geo-guessing, humans can get incredibly good at solving visual recognition tasks. But how is this skill learned, and can we model its progression? We present CleverBirds, accepted
#NeurIPS2025
, a large-scale benchmark for visual knowledge tracing. 📄
arxiv.org/abs/2511.08512
1/5
loading . . .
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
Mastering fine-grained visual recognition, essential in many expert domains, can require that specialists undergo years of dedicated training. Modeling the progression of such expertize in humans rema...
http://arxiv.org/abs/2511.08512
2 months ago
1
7
6
reposted by
Leonie Bossemeyer
Serge Belongie
2 months ago
Prof.
@tokehoye.bsky.social
(Aarhus University) and I have an open PhD position (jointly advised) on biodiversity monitoring with camera trap networks. Deadline: 15-Jan-2026 Please help us share this post among students you know with an interest in Machine Learning and Biodiversity! 🤖🪲🌱
1
20
13
reposted by
Leonie Bossemeyer
Ashutosh Adhikari
3 months ago
Excited to share my first work as a PhD student at EdinburghNLP that I will be presenting at EMNLP! RQ1: Can we achieve scalable oversight across modalities via debate? Yes! We show that debating VLMs lead to better model quality of answers for reasoning tasks.
1
2
2
reposted by
Leonie Bossemeyer
Justin Kay
3 months ago
There are now millions of publicly-available AI models – which one is right for you? We introduce CODA (
#ICCV2025
Highlight! ), a method for *active model selection.* CODA selects the best model for your data with any labeling budget – often as few as 25 labeled examples. 1/
@iccv.bsky.social
2
11
6
reposted by
Leonie Bossemeyer
Oisin Mac Aodha
3 months ago
Interested in doing a PhD in machine learning at the University of Edinburgh starting Sept 2026? My group works on topics in vision, machine learning, and AI for climate. For more information and details on how to get in touch, please check out my website:
homepages.inf.ed.ac.uk/omacaod
2
39
18
reposted by
Leonie Bossemeyer
EurIPS Conference
4 months ago
Congratulations to everyone who got their
@neuripsconf.bsky.social
papers accepted 🎉🎉🎉 At
#EurIPS
we are looking forward to welcoming presentations of all accepted NeurIPS papers, including a new “Salon des Refusés” track for papers which were rejected due to space constraints!
1
50
21
reposted by
Leonie Bossemeyer
Oisin Mac Aodha
11 months ago
Reminder that the deadlines for submitting papers to the FGVC workshop at
#CVPR2025
are coming up soon. The scope of the workshop is quite broad, e.g. fine-grained learning, multi-modal, human in the loop, etc. More info here:
sites.google.com/view/fgvc12/...
@cvprconference.bsky.social
add a skeleton here at some point
0
7
4
reposted by
Leonie Bossemeyer
Nikolaj Moretti
12 months ago
New working paper with
@tobiasbergmann.bsky.social
on the deficit-investment trade-off of deficit rules. Comments and feedback are more than welcome! 📩
add a skeleton here at some point
0
7
3
reposted by
Leonie Bossemeyer
Max Hamilton
about 1 year ago
❓How can we predict where a species may be found when observations are limited? ✨Introducing Le-SINR: A text to range map model that can enable scientists to produce more accurate range maps with fewer observations. Thread 🧵
1
20
9
reposted by
Leonie Bossemeyer
Sara Beery
about 1 year ago
🎯 How can we empower scientific discovery in millions of nature photos? Introducing INQUIRE: A benchmark testing if AI vision-language models can help scientists find biodiversity patterns- from disease symptoms to rare behaviors- hidden in vast image collections. Thread👇🧵
3
88
36
you reached the end!!
feeds!
log in