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Workshop
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Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
Alaa Khaddaj · Logan Engstrom · Aleksander Madry
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Workshop
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Augmenting Small-size Tabular Data with Class-Specific Energy-Based Models
Andrei Margeloiu · Xiangjian Jiang · Nikola Simidjievski · Mateja Jamnik
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Poster
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Fri 16:30
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SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
Yu Yang · Siddhartha Mishra · Jeffrey Chiang · Baharan Mirzasoleiman
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Workshop
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Precise Lens Status Classification via Projection Tuning for Efficient Adaptation to Data Shifts in Small Cataract Image Datasets
Ji Young Byun · Jordan Shuff · Kunal S. Parikh · Rama Chellappa
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Workshop
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Sim2Real transfer for catalyst activity prediction
YUTA YAHAGI · Kiichi Obuchi · Fumihiko Kosaka · Kota Matsui
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Poster
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Fri 16:30
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JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
Kun Zhou · Beichen Zhang · jiapeng wang · Zhipeng Chen · Xin Zhao · Jing Sha · Zhichao Sheng · Shijin Wang · Ji-Rong Wen
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Poster
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Fri 16:30
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On the Power of Small-size Graph Neural Networks for Linear Programming
Qian Li · Tian Ding · Linxin Yang · Minghui Ouyang · Qingjiang Shi · Ruoyu Sun
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Workshop
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MOTIFNet: Automating the Analysis of Amphiphile and Block Polymer Self-Assembly from SAXS Data
Daoyuan Li · Shuquan Cui · Mahesh Mahanthappa · Frank Bates · Timothy Lodge · Joern Ilja Siepmann
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