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In-Person Oral presentation / top 5% paper
Mon May 01 01:10 AM -- 01:20 AM (PDT) @ Auditorium None
Token Merging: Your ViT But Faster
In Oral 1 Track 1: Deep Learning and representational learning I
Daniel Bolya · Cheng-Yang Fu · Xiaoliang Dai · Peizhao Zhang · Christoph Feichtenhofer · Judy Hoffman
In-Person Oral presentation / top 25% paper
Mon May 01 01:20 AM -- 01:30 AM (PDT) @ Auditorium None
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
In Oral 1 Track 1: Deep Learning and representational learning I
Noah Hollmann · Samuel Müller · Katharina Eggensperger · Frank Hutter
In-Person Oral presentation / top 25% paper
Mon May 01 01:30 AM -- 01:40 AM (PDT) @ Auditorium None
Learning Group Importance using the Differentiable Hypergeometric Distribution
In Oral 1 Track 1: Deep Learning and representational learning I
Thomas Sutter · Laura Manduchi · Alain Ryser · Julia E Vogt
In-Person Oral presentation / top 25% paper
Mon May 01 01:40 AM -- 01:50 AM (PDT) @ Auditorium None
Neural Networks and the Chomsky Hierarchy
In Oral 1 Track 1: Deep Learning and representational learning I
Gregoire Deletang · Anian Ruoss · Jordi Grau-Moya · Tim Genewein · Li Kevin Wenliang · Elliot Catt · Chris Cundy · Marcus Hutter · Shane Legg · Joel Veness · Pedro Ortega
In-Person Oral presentation / top 5% paper
Mon May 01 01:50 AM -- 02:00 AM (PDT) @ Auditorium None
Learning on Large-scale Text-attributed Graphs via Variational Inference
In Oral 1 Track 1: Deep Learning and representational learning I
Jianan Zhao · Meng Qu · Chaozhuo Li · Hao Yan · Qian Liu · Rui Li · Xing Xie · Jian Tang