Paper

  • Composable Coresets for Determinant Maximization: Greedy is Almost Optimal

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composable Coresets for Determinant Maximization: Greedy is Almost Optimal

    Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar p41531-41542 from Advances in Neural Information Processing Systems 36
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  • Composing Parameter-Efficient Modules with Arithmetic Operation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composing Parameter-Efficient Modules with Arithmetic Operation

    Shiqi Chen, Junxian He, Junteng Liu, Jinghan Zhang p12589-12610 from Advances in Neural Information Processing Systems 36
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  • Composite Feature Selection Using Deep Ensembles

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composite Feature Selection Using Deep Ensembles

    Fergus Imrie, Pietro Lió, Alexander Norcliffe, Mihaela Van Der Schaar p36142-36160 from Advances in Neural Information Processing Systems 35
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  • Composition Theorems for Interactive Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composition Theorems for Interactive Differential Privacy

    Xin Lyu p9700-9712 from Advances in Neural Information Processing Systems 35
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  • Compositional 3D-aware Video Generation with LLM Director

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional 3D-aware Video Generation with LLM Director

    Jiang Bian, Zhibo Chen, Junliang Guo, Tianyu He, Anni Tang, Hanxin Zhu p131618-131644 from Advances in Neural Information Processing Systems 37
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  • Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task

    Robert Dick, Ekdeep S Lubana, Maya Okawa, Hidenori Tanaka p50173-50195 from Advances in Neural Information Processing Systems 36
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  • Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning

    Niklas Lauffer, Sanjit Seshia, Marcell Vazquez-Chanlatte, Beyazit Yalcinkaya p72933-72963 from Advances in Neural Information Processing Systems 37
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  • Compositional Foundation Models for Hierarchical Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Foundation Models for Hierarchical Planning

    Pulkit Agrawal, Anurag Ajay, Yilun Du, Abhi Gupta, Seungwook Han, Tommi Jaakkola, Leslie Kaelbling, Shuang Li, Akash Srivastava, Josh Tenenbaum p22304-22325 from Advances in Neural Information Processing Systems 36
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  • Compositional Generalization Across Distributional Shifts with Sparse Tree Operations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Generalization Across Distributional Shifts with Sparse Tree Operations

    Henry Conklin, Roland Fernandez, Jianfeng Gao, Mattia Opper, Paul Smolensky, Paul Soulos p112836-112863 from Advances in Neural Information Processing Systems 37
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  • Compositional Generalization from First Principles

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Generalization from First Principles

    Matthias Bethge, Wieland Brendel, Prasanna Mayilvahanan, Thaddäus Wiedemer p6941-6960 from Advances in Neural Information Processing Systems 36
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  • Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language

    Marc Niethammer, Colin Raffel, Zhenlin Xu p25074-25087 from Advances in Neural Information Processing Systems 35
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  • Compositional Generalization Through Abstract Representations in Human and Artificial Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Generalization Through Abstract Representations in Human and Artificial Neural Networks

    Michael Cole, Takuya Ito, Tim Klinger, John Murray, Mattia Rigotti, Doug Schultz p32225-32239 from Advances in Neural Information Processing Systems 35
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