Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods

    Barakeel Fanseu Kamhoua, Huamin Qu p29595-29619 from Advances in Neural Information Processing Systems 37
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  • HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

    Ser Nam Lim, Jiwen Lu, Yongming Rao, Yansong Tang, Wenliang Zhao, Jie Zhou p10353-10366 from Advances in Neural Information Processing Systems 35
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  • Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space

    Xiran Fan, Baba Vemuri, Chun-Hao Yang p11194-11204 from Advances in Neural Information Processing Systems 36
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  • HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection

    Yongqiang Chen, James Cheng, Yu Li, Wei Meng, Yixuan Wang, Binghui Xie, Kaiwen Zhou p4852-4877 from Advances in Neural Information Processing Systems 37
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  • HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception

    Peiyan Dong, Yifan Gong, Zhenglun Kong, Xin Meng, Hao Tang, Yanzhi Wang, Pinrui Yu, Geng Yuan p2824-2836 from Advances in Neural Information Processing Systems 36
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  • HourVideo: 1-Hour Video-Language Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HourVideo: 1-Hour Video-Language Understanding

    Keshigeyan Chandrasegaran, Zane Durante, Cristobal Eyzaguirre, Li Fei-Fei, Agrim Gupta, Lea Hadzic, Jimming He, Taran Kota, Manling Li, Jiajun Wu p53168-53197 from Advances in Neural Information Processing Systems 37
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  • House of Cans: Covert Transmission of Internal Datasets Via Capacity-Aware Neuron Steganography

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    House of Cans: Covert Transmission of Internal Datasets Via Capacity-Aware Neuron Steganography

    Xudong Pan, Yifan Yan, Min Yang, Mi Zhang, Shengyao Zhang p24838-24850 from Advances in Neural Information Processing Systems 35
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  • How a Student becomes a Teacher: learning and forgetting through Spectral methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How a Student becomes a Teacher: learning and forgetting through Spectral methods

    Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli, Lorenzo Giambagli p60291-60306 from Advances in Neural Information Processing Systems 36
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  • How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents

    Yoav Kolumbus, Noam Nisan p28080-28094 from Advances in Neural Information Processing Systems 35
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  • How Control Information Influences Multilingual Text Image Generation and Editing?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Control Information Influences Multilingual Text Image Generation and Editing?

    Zuan Gao, Yadong Qu, Hongtao Xie, Boqiang Zhang p6884-6904 from Advances in Neural Information Processing Systems 37
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  • How Diffusion Models Learn to Factorize and Compose

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Diffusion Models Learn to Factorize and Compose

    Ila Fiete, Qiyao Liang, Ziming Liu, Mitchell Ostrow p15121-15148 from Advances in Neural Information Processing Systems 37
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  • How Do Large Language Models Acquire Factual Knowledge During Pretraining?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Do Large Language Models Acquire Factual Knowledge During Pretraining?

    Du-Seong Chang, Hoyeon Chang, Jinho Park, Minjoon Seo, Youngkyung Seo, Sohee Yang, Seonghyeon Ye p60626-60668 from Advances in Neural Information Processing Systems 37
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  • How do Large Language Models Handle Multilingualism?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How do Large Language Models Handle Multilingualism?

    Lidong Bing, Guizhen Chen, Kenji Kawaguchi, Wenxuan Zhang, Yiran Zhao p15296-15319 from Advances in Neural Information Processing Systems 37
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  • How do Minimum-Norm Shallow Denoisers Look in Function Space?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How do Minimum-Norm Shallow Denoisers Look in Function Space?

    Yaniv Blumenfeld, Greg Ongie, Daniel Soudry, Nir Weinberger, Chen Zeno p57520-57557 from Advances in Neural Information Processing Systems 36
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  • How Does Adaptive Optimization Impact Local Neural Network Geometry?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Does Adaptive Optimization Impact Local Neural Network Geometry?

    Kaiqi Jiang, Yuanzhi Li, Dhruv Malik p8305-8384 from Advances in Neural Information Processing Systems 36
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  • How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers

    Liangyu Huo, Xin Lu, Bing Qin, Dongliang Xu, Qing Yang, Yanyan Zhao p87411-87437 from Advances in Neural Information Processing Systems 37
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  • How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?

    Hong Chen, Jun Chen, Bin Gu p107745-107794 from Advances in Neural Information Processing Systems 37
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  • How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

    Michael Hanna, Ollie Liu, Alexandre Variengien p76033-76060 from Advances in Neural Information Processing Systems 36
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  • How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks

    Rong Ge, Mo Zhou p46481-46538 from Advances in Neural Information Processing Systems 37
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  • How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach

    Filippo Lazzati, Alberto Maria Metelli, Mirco Mutti p54820-54871 from Advances in Neural Information Processing Systems 37
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  • How Does Message Passing Improve Collaborative Filtering?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Does Message Passing Improve Collaborative Filtering?

    Zhichun Guo, Clark Ju, Yozen Liu, Neil Shah, William Shiao, Yanfang Ye, Tong Zhao p8760-8784 from Advances in Neural Information Processing Systems 37
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  • How does PDE order affect the convergence of PINNs?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How does PDE order affect the convergence of PINNs?

    Myungjoo Kang, Yesom Park, Changhoon Song p73-131 from Advances in Neural Information Processing Systems 37
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  • How Does Variance Shape the Regret in Contextual Bandits?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Does Variance Shape the Regret in Contextual Bandits?

    Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei p83730-83785 from Advances in Neural Information Processing Systems 37
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  • How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

    Iz Beltagy, Khyathi Chandu, Pradeep Dasigi, Hannaneh Hajishirzi, Jack Hessel, Hamish Ivison, Tushar Khot, Kelsey Macmillan, Noah Smith, David Wadden, Yizhong Wang p74764-74786 from Advances in Neural Information Processing Systems 36
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