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
    Our Price: $0.00
  • 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

    Yongming Rao, Wenliang Zhao, Yansong Tang, Jie Zhou, Ser Nam Lim, Jiwen Lu p10353-10366 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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, Chun-Hao Yang, Baba Vemuri p11194-11204 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng p4852-4877 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Zhenglun Kong, Xin Meng, Pinrui Yu, Yifan Gong, Geng Yuan, Hao Tang, Yanzhi Wang p2824-2836 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • HourVideo: 1-Hour Video-Language Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HourVideo: 1-Hour Video-Language Understanding

    Keshigeyan Chandrasegaran, Agrim Gupta, Lea Hadzic, Taran Kota, Jimming He, Cristobal Eyzaguirre, Zane Durante, Manling Li, Jiajun Wu, Li Fei-Fei p53168-53197 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Shengyao Zhang, Mi Zhang, Yifan Yan, Min Yang p24838-24850 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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 Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli p60291-60306 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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?

    Boqiang Zhang, Zuan Gao, Yadong Qu, Hongtao Xie p6884-6904 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • How Diffusion Models Learn to Factorize and Compose

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Diffusion Models Learn to Factorize and Compose

    Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete p15121-15148 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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?

    Hoyeon Chang, Jinho Park, Seonghyeon Ye, Sohee Yang, Youngkyung Seo, Du-Seong Chang, Minjoon Seo p60626-60668 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • How do Large Language Models Handle Multilingualism?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How do Large Language Models Handle Multilingualism?

    Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing p15296-15319 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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?

    Chen Zeno, Greg Ongie, Yaniv Blumenfeld, Nir Weinberger, Daniel Soudry p57520-57557 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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, Dhruv Malik, Yuanzhi Li p8305-8384 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang, Dongliang Xu p87411-87437 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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?

    Jun Chen, Hong Chen, Bin Gu p107745-107794 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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

    Mo Zhou, Rong Ge p46481-46538 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Mirco Mutti, Alberto Maria Metelli p54820-54871 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • How Does Message Passing Improve Collaborative Filtering?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Does Message Passing Improve Collaborative Filtering?

    Clark Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao p8760-8784 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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?

    Changhoon Song, Yesom Park, Myungjoo Kang p73-131 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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

    Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey Macmillan, Noah Smith, Iz Beltagy, Hannaneh Hajishirzi p74764-74786 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00