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In-Person Oral presentation / top 5% paper
Wed May 03 06:00 AM -- 06:10 AM (PDT) @ AD12 None
Agree to Disagree: Diversity through Disagreement for Better Transferability
In Oral 6 Track 3: Deep Learning and representational learning
Matteo Pagliardini · Martin Jaggi · François Fleuret · Sai Karimireddy
In-Person Oral presentation / top 5% paper
Wed May 03 06:10 AM -- 06:20 AM (PDT) @ AD12 None
What learning algorithm is in-context learning? Investigations with linear models
In Oral 6 Track 3: Deep Learning and representational learning
Ekin Akyürek · Dale Schuurmans · Jacob Andreas · Tengyu Ma · Denny Zhou
In-Person Oral presentation / top 5% paper
Wed May 03 06:20 AM -- 06:30 AM (PDT) @ AD12 None
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
In Oral 6 Track 3: Deep Learning and representational learning
Marius-Constantin Dinu · Markus Holzleitner · Maximilian Beck · Hoan Nguyen · Andrea Huber · Hamid Eghbalzadeh · Bernhard A. Moser · Sergei Pereverzyev · Sepp Hochreiter · Werner Zellinger
In-Person Oral presentation / top 5% paper
Wed May 03 06:30 AM -- 06:40 AM (PDT) @ AD12 None
Encoding Recurrence into Transformers
In Oral 6 Track 3: Deep Learning and representational learning
Feiqing Huang · Kexin Lu · Yuxi Cai · Zhen Qin · Yanwen Fang · Guangjian Tian · Guodong Li
In-Person Oral presentation / top 5% paper
Wed May 03 06:40 AM -- 06:50 AM (PDT) @ AD12 None
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
In Oral 6 Track 3: Deep Learning and representational learning
Donggyun Kim · Jinwoo Kim · Seongwoong Cho · Chong Luo · Seunghoon Hong
In-Person Oral presentation / top 5% paper
Wed May 03 06:50 AM -- 07:00 AM (PDT) @ AD12 None
Simplified State Space Layers for Sequence Modeling
In Oral 6 Track 3: Deep Learning and representational learning
Jimmy Smith · andrew warrington · Scott Linderman
In-Person Oral presentation / top 25% paper
Wed May 03 07:00 AM -- 07:10 AM (PDT) @ AD12 None
Relational Attention: Generalizing Transformers for Graph-Structured Tasks
In Oral 6 Track 3: Deep Learning and representational learning
Cameron Diao · Ricky Loynd
In-Person Oral presentation / top 5% paper
Wed May 03 07:10 AM -- 07:20 AM (PDT) @ AD12 None
Sparse Mixture-of-Experts are Domain Generalizable Learners
In Oral 6 Track 3: Deep Learning and representational learning
Bo Li · Yifei Shen · Jingkang Yang · Yezhen Wang · Jiawei Ren · Tong Che · Jun Zhang · Ziwei Liu