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Affinity Event
Enhancing Communication Efficiency and Robustness in Split-Federated Learning with Rate-Distortion inspired Compression
Chamani Shiranthika Jayakody Kankanamalage · Hadi Hadizadeh · Ivan Bajić · Parvaneh Saeedi
Poster
Fri 11:00 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt
Workshop
Different Rates for Different Weights: Decoupled Relative Learning Rate Schedules
Jan Ludziejewski · Jan Małaśnicki · Maciej Pióro · Michał Krutul · Kamil Ciebiera · Jakub Krajewski · Marek Cygan · Kamil Adamczewski · Sebastian Jaszczur
Workshop
SepONet: Efficient Large-Scale Physics-Informed Operator Learning
Xinling Yu · Sean Hooten · Ziyue Liu · Yequan Zhao · Marco Fiorentino · Thomas Van Vaerenbergh · Zheng Zhang
Workshop
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Jonas Hübotter · Sascha Bongni · Ido Hakimi · Andreas Krause
Workshop
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Jonas Hübotter · Sascha Bongni · Ido Hakimi · Andreas Krause
Workshop
Sat 10:30 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Jonas Hübotter · Sascha Bongni · Ido Hakimi · Andreas Krause
Poster
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
Yiyang Zhao · Yunzhuo Liu · Bo Jiang · Tian Guo
Poster
Fri 11:00 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
Dake Bu · Wei Huang · Andi Han · Atsushi Nitanda · Taiji Suzuki · Qingfu Zhang · Hau-San Wong
Poster
Wed 16:30 Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeonah Kim · Minsu Kim · Sanghyeok Choi · Jinkyoo Park
Poster
Fri 16:30 Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
Wangbo Zhao · Jiasheng Tang · Yizeng Han · Yibing Song · Kai Wang · Gao Huang · Fan Wang · Yang You
Workshop
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Jonas Hübotter · Sascha Bongni · Ido Hakimi · Andreas Krause