Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Communication Efficient Distributed Training with Distributed Lion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Communication Efficient Distributed Training with Distributed Lion

    Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu p18388-18415 from Advances in Neural Information Processing Systems 37
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  • Communication Efficient Federated Learning for Generalized Linear Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Communication Efficient Federated Learning for Generalized Linear Bandits

    Chuanhao Li, Hongning Wang p38411-38423 from Advances in Neural Information Processing Systems 35
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  • Communication-Efficient Distributed Eigenspace Estimation with Arbitrary Node Failures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Communication-Efficient Distributed Eigenspace Estimation with Arbitrary Node Failures

    Vasileios Charisopoulos, Anil Damle p18197-18210 from Advances in Neural Information Processing Systems 35
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  • Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems

    Junyi Li, Feihu Huang, Heng Huang p1326-1338 from Advances in Neural Information Processing Systems 36
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  • Communication-Efficient Federated Group Distributionally Robust Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Communication-Efficient Federated Group Distributionally Robust Optimization

    Zhishuai Guo, Tianbao Yang p23040-23077 from Advances in Neural Information Processing Systems 37
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  • Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate

    Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi, Ming Yan, Wotao Yin, Kun Yuan p1073-1085 from Advances in Neural Information Processing Systems 35
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  • Community Detection Guarantees using Embeddings Learned by Node2Vec

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Community Detection Guarantees using Embeddings Learned by Node2Vec

    Andrew Davison, S. Carlyle Morgan, Owen G. Ward p685-738 from Advances in Neural Information Processing Systems 37
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  • Compact Language Models via Pruning and Knowledge Distillation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compact Language Models via Pruning and Knowledge Distillation

    Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov p41076-41102 from Advances in Neural Information Processing Systems 37
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  • Compact Neural Volumetric Video Representations with Dynamic Codebooks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compact Neural Volumetric Video Representations with Dynamic Codebooks

    Haoyu Guo, Sida Peng, Yunzhi Yan, Linzhan Mou, Yujun Shen, Hujun Bao, Xiaowei Zhou p75884-75895 from Advances in Neural Information Processing Systems 36
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  • Compact Proofs of Model Performance via Mechanistic Interpretability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compact Proofs of Model Performance via Mechanistic Interpretability

    Jason Gross, Rajashree Agrawal, Thomas Kwa, Euan Ong, Chun Hei Yip, Alex Gibson, Soufiane Noubir, Lawrence Chan p79453-79515 from Advances in Neural Information Processing Systems 37
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  • Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions

    Leonidas Tsepenekas, Ivan Brugere, Freddy Lecue, Daniele Magazzeni p27994-28009 from Advances in Neural Information Processing Systems 36
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  • Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions

    Duligur Ibeling, Thomas Icard p80130-80141 from Advances in Neural Information Processing Systems 36
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  • Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift

    Saurabh Garg, Amrith Setlur, Zachary Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan p11621-11673 from Advances in Neural Information Processing Systems 36
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  • Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference

    Yonghan Jung, Min Woo Park, Sanghack Lee p19813-19838 from Advances in Neural Information Processing Systems 37
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  • Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints

    Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song p30534-30553 from Advances in Neural Information Processing Systems 36
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  • Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent

    Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou p23714-23747 from Advances in Neural Information Processing Systems 36
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  • Complexity Matters: Rethinking the Latent Space for Generative Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Complexity Matters: Rethinking the Latent Space for Generative Modeling

    Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li p29558-29579 from Advances in Neural Information Processing Systems 36
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  • Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control

    Xingang Guo, Darioush Keivan, Geir Dullerud, Peter Seiler, Bin Hu p5050-5078 from Advances in Neural Information Processing Systems 36
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  • 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

    Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He 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, Alexander Norcliffe, Pietro Lió, 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

    Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian 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

    Maya Okawa, Ekdeep S Lubana, Robert Dick, Hidenori Tanaka p50173-50195 from Advances in Neural Information Processing Systems 36
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