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Poster
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Wed 16:30
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Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
Tianyu He · Darshil Doshi · Aritra Das · Andrey Gromov
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Workshop
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Multi-task Learning yields Disentangled World Models: Impact and Implications
Pantelis Vafidis · Aman Bhargava · Antonio Rangel
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Poster
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Fri 16:30
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DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
Zijian Zhou · Xiaoqiang Lin · Xinyi Xu · Alok Prakash · Daniela Rus · Bryan Kian Hsiang Low
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Workshop
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Toward Universal and Interpretable World Models for Open-ended Learning Agents
Lancelot Da Costa
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Workshop
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GUIDE: A Responsible Multimodal Approach for Enhanced Glaucoma Risk Modeling and Patient Trajectory Analysis
Heman Shakeri · Behnaz Moradijamei
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Poster
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Thu 16:30
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Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication
Olaf Lipinski · Adam Sobey · Federico Cerutti · Timothy Norman
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Workshop
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GAMformer: Exploring In-Context Learning for Generalized Additive Models
Andreas Mueller · Julien Siems · Harsha Nori · David Salinas · Arber Zela · Rich Caruana · Frank Hutter
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Poster
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Thu 16:30
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MeLLoC: Lossless Compression with High-order Mechanism Learning
Xinyue Luo · Jin Cheng · Yu Chen
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Poster
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Fri 11:00
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Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
Deqing Fu · Tian-qi Chen · Robin Jia · Vatsal Sharan
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Poster
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Thu 16:30
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On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"
Jasper Eppink · Floris Six Dijkstra · Wouter Bant · Ádám Divák
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Poster
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Wed 16:30
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shapiq: Shapley Interactions for Machine Learning
Maximilian Muschalik · Hubert Baniecki · Fabian Fumagalli · Patrick Kolpaczki · Barbara Hammer · Eyke Hüllermeier
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Poster
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Fri 16:30
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Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
Dan Braun · Jordan Taylor · Nicholas Goldowsky-Dill · Lee Sharkey
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