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Workshop
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Interpretable machine learning approach to understand U.S. prevented planting events and project climate change impacts
Haynes Stephens
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Workshop
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Understanding Threshold-based Auto-labeling: The Good, the Bad, and the Terra Incognita
Harit Vishwakarma · Heguang Lin · Frederic Sala · Ramya Korlakai Vinayak
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Workshop
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Fri 12:40
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Large Language Models Behave (Almost) As Rational Speech Actors: Insights From Metaphor Understanding
Gaia Carenini · Louis Bodot · Luca Bischetti · Walter Schaeken · Valentina Bambini
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Workshop
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Bridging State and History Representations: Understanding Self-Predictive RL
Tianwei Ni · Benjamin Eysenbach · Erfan Seyedsalehi · Michel Ma · Clement Gehring · Aditya Mahajan · Pierre-Luc Bacon
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Workshop
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MOFO: MOtion FOcused Self-Supervision for Video Understanding
Mona Ahmadian · Frank Guerin · Andrew Gilbert
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Workshop
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Understanding Mode Connectivity via Parameter Space Symmetry
Bo Zhao · Nima Dehmamy · Robin Walters · Rose Yu
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Workshop
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Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs
Ananya Singha · José Cambronero · Sumit Gulwani · Vu Le · Chris Parnin
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Workshop
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MusT3: Unified Multi-Task Model for Fine-Grained Music Understanding
Martin Kukla · Minz Won · Yun-Ning Hung · Duc Le
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Workshop
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Sat 9:45
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Evaluating Peripheral Vision as an Input Transformation to Understand Object Detection Model Behavior
Anne Harrington · Vasha DuTell · Mark Hamilton · Ayush Tewari · Simon Stent · Bill Freeman · Ruth Rosenholtz
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Workshop
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Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Yuntong Hu · Zheng Zhang · Liang Zhao
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Workshop
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Enhancing Understanding in Generative Agents through Active Inquiring
Jiaxin Ge · Kaiya Zhao · Manuel Cortes · Jovana Kondic · Shuying Luo · Michelangelo Naim · Andrew Ahn · Guangyu Robert Yang
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Workshop
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Understanding Experimental Data by Identifying Symmetries with Deep Learning
Yichen Guo · Shuyu Qin · Joshua Agar
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