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31 Results
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Workshop
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Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Mingde Zhao · Safa Alver · Harm Seijen · Romain Laroche · Doina Precup · Yoshua Bengio |
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Sun 10:35 |
Neural Networks for Abstraction & Reasoning Mikel Bober-Irizar · Soumya Banerjee |
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Unsupervised Learning of Categorical Structure Matteo Alleman · Stefano Fusi |
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Sun 10:55 |
Keynote: Melanie Mitchell: On Understanding and Abstraction in Humans and AI Systems Melanie Mitchell |
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Interaction Asymmetry: A General Principle for Learning Composable Abstractions Jack Brady · Julius von Kügelgen · Sébastien Lachapelle · Simon Buchholz · Wieland Brendel |
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Dynamic Symbolic Representation and LLM to Enhance Task Abstraction in Hierarchical Reinforcement Learning Sao Mai Nguyen · Zihe Ji · Mehdi Zadem |
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Diverse capability and scaling of diffusion and auto-regressive models when learning abstract rules Binxu Wang · Jiaqi Shang · Haim Sompolinsky |
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Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model Wenqi Zhang · Zhenglin Cheng · Yuanyu He · Mengna Wang · Yongliang Shen · Zeqi Tan · Guiyang Hou · Mingqian He · Yanna Ma · Weiming Lu · Yueting Zhuang |
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Mining Math Conjectures from LLMs: A Pruning Approach Jake Chuharski · Elias Rojas Collins · Mark Meringolo |
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Unsupervised Causal Abstraction Yuchen Zhu · Sergio Garrido Mejia · Bernhard Schölkopf · Michel Besserve |
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Reasoning Abilities of Large Language Models through the Lens of Abstraction and Reasoning Seungpil Lee · Woochang Sim · Donghyeon Shin · Sejin Kim · Sundong Kim |
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Workshop
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ACE: Abstractions for Communicating Efficiently Jonathan Thomas · Andrea Silvi · Devdatt Dubhashi · Vikas Garg · Moa Johansson |