Paper

  • Swarm Reinforcement Learning for Adaptive Mesh Refinement

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Swarm Reinforcement Learning for Adaptive Mesh Refinement

    Philipp Dahlinger, Niklas Freymuth, Luise Kärger, Gerhard Neumann, Simon Reisch, Tobias Würth p73312-73347 from Advances in Neural Information Processing Systems 36
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  • SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

    Carlos Jimenez, Kilian Lieret, Karthik Narasimhan, Ofir Press, Alexander Wettig, John Yang, Shunyu Yao p50528-50652 from Advances in Neural Information Processing Systems 37
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  • Swift Sampler: Efficient Learning of Sampler by 10 Parameters

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Swift Sampler: Efficient Learning of Sampler by 10 Parameters

    Chuming Li, Canran Xiao, Jiawei Yao p59030-59053 from Advances in Neural Information Processing Systems 37
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  • SwiFT: Swin 4D fMRI Transformer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SwiFT: Swin 4D fMRI Transformer

    Sangyoon Bae, Jiook Cha, Sunghwan Joo, Yoonho Jung, Peter Kim, Junbeom Kwon, Donggyu Lee, Taesup Moon, Shinjae Yoo p42015-42037 from Advances in Neural Information Processing Systems 36
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  • SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

    Prithviraj Ammanabrolu, Chandra Bhagavatula, Faeze Brahman, Yejin Choi, Yicheng Fu, Shiyu Huang, Bill Yuchen Lin, Xiang Ren, Karina Yang p23813-23825 from Advances in Neural Information Processing Systems 36
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  • SwinTrack: A Simple and Strong Baseline for Transformer Tracking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SwinTrack: A Simple and Strong Baseline for Transformer Tracking

    Heng Fan, Liting Lin, Haibin Ling, Yong Xu, Zhipeng Zhang p16743-16754 from Advances in Neural Information Processing Systems 35
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  • SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

    Róbert Csordás, Kazuki Irie, Piotr Piękos, Jürgen Schmidhuber p74411-74438 from Advances in Neural Information Processing Systems 37
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  • Switching Autoregressive Low-rank Tensor Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Switching Autoregressive Low-rank Tensor Models

    Joshua Glaser, Hyun Dong Lee, Scott Linderman, Andrew Warrington p57976-58010 from Advances in Neural Information Processing Systems 36
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  • Switching Temporary Teachers for Semi-Supervised Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Switching Temporary Teachers for Semi-Supervised Semantic Segmentation

    Hyung Jin Chang, Jung-Woo Ha, Dongyoon Han, Wonjun Hwang, Jaemin Na p40367-40380 from Advances in Neural Information Processing Systems 36
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  • SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents

    Jingxuan He, Mark Müller, Niels Mündler, Martin Vechev p81857-81887 from Advances in Neural Information Processing Systems 37
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  • Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

    Minsu Kim, Jinkyoo Park, Junyoung Park p1936-1949 from Advances in Neural Information Processing Systems 35
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  • Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning

    Yong-Lu Li, Cewu Lu, Jianhua Sun, Xiaoqian Wu p29680-29691 from Advances in Neural Information Processing Systems 36
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