Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Decomposable Transformer Point Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decomposable Transformer Point Processes

    Aristeidis Panos p88932-88955 from Advances in Neural Information Processing Systems 37
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  • Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle

    Zhenya Huang, Binbin Jin, Xin Li, Xin lin, Jiayu Liu, Qi Liu, Yuting Ning, Shangzi Xue p357-385 from Advances in Neural Information Processing Systems 37
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  • Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization

    Tongliang Liu, Yong Luo, Jialie Shen, Li Shen, Dacheng Tao, Hongling Zheng p122984-123006 from Advances in Neural Information Processing Systems 37
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  • Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP

    Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi p81046-81076 from Advances in Neural Information Processing Systems 37
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  • Decoupled Kullback-Leibler Divergence Loss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decoupled Kullback-Leibler Divergence Loss

    Jiequan Cui, Xiaojuan Qi, Zhuotao Tian, Bei Yu, Hanwang Zhang, Zhisheng Zhong p74461-74486 from Advances in Neural Information Processing Systems 37
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  • Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.

    Michael Baumgartner, Stefan Denner, Fabian Isensee, Priyank Jain, Gregor Köhler, Klaus Maier-Hein, Constantin Ulrich, Tassilo Wald, David Zimmerer p48411-48447 from Advances in Neural Information Processing Systems 37
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  • DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach

    Ling Chen, Qian Chen p55204-55227 from Advances in Neural Information Processing Systems 37
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  • Deep Bayesian Active Learning for Preference Modeling in Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Bayesian Active Learning for Preference Modeling in Large Language Models

    Alessandro Abate, Yarin Gal, Luckeciano Melo, Panagiotis Tigas p118052-118085 from Advances in Neural Information Processing Systems 37
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  • Deep Correlated Prompting for Visual Recognition with Missing Modalities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Correlated Prompting for Visual Recognition with Missing Modalities

    Wei Feng, Lianyu Hu, Fanhua Shang, Tongkai Shi, Liang Wan p67446-67466 from Advances in Neural Information Processing Systems 37
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  • Deep Equilibrium Algorithmic Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Equilibrium Algorithmic Reasoning

    Davide Buffelli, Dobrik Georgiev, Pietro Liò, JJ Wilson p33638-33667 from Advances in Neural Information Processing Systems 37
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  • Deep Graph Mating

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Graph Mating

    Seok-Hee Hong, Yongcheng Jing, Dacheng Tao p9753-9772 from Advances in Neural Information Processing Systems 37
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  • Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module

    Yixuan Du, Di Jin, Stan Z. Li, Jun Xia, Carl Yang, Zhizhi Yu, Zelin Zang, Rui Zhang, Ruqiong Zhang, Jingbo Zhou p68211-68238 from Advances in Neural Information Processing Systems 37
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  • Deep Homomorphism Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Homomorphism Networks

    Takanori Maehara, Hoang NT p56076-56107 from Advances in Neural Information Processing Systems 37
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  • Deep Learning for Computing Convergence Rates of Markov Chains

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Learning for Computing Convergence Rates of Markov Chains

    Jose Blanchet, Peter Glynn, Yanlin Qu p84777-84798 from Advances in Neural Information Processing Systems 37
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  • Deep Learning in Medical Image Registration: Magic or Mirage?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Learning in Medical Image Registration: Magic or Mirage?

    Pratik Chaudhari, James Gee, Rohit Jena, Deeksha Sethi p108331-108353 from Advances in Neural Information Processing Systems 37
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  • Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond

    Alicia Curth, Alan Jeffares, Mihaela van der Schaar p123498-123533 from Advances in Neural Information Processing Systems 37
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  • Deep linear networks for regression are implicitly regularized towards flat minima

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep linear networks for regression are implicitly regularized towards flat minima

    Lénaïc Chizat, Pierre Marion p76848-76900 from Advances in Neural Information Processing Systems 37
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  • Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers

    Alireza Azimi, Colin Bellinger, Mohamed Elsayed, Jiamin He, A. Mahmood, Fahim Shariar, Gautham Vasan, Martha White p845-891 from Advances in Neural Information Processing Systems 37
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  • Deep Submodular Peripteral Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Submodular Peripteral Networks

    Gantavya Bhatt, Jeffrey Bilmes, Arnav Das p56552-56587 from Advances in Neural Information Processing Systems 37
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  • Deep Support Vectors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Support Vectors

    Kyomin Hwang, Nojun Kwak, Hyunho Lee, Junhoo Lee p118155-118181 from Advances in Neural Information Processing Systems 37
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  • DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection

    Hongyu Shen, Yici Yan, Zhizhen Zhao p7981-8013 from Advances in Neural Information Processing Systems 37
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  • DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation

    Jianguo Li, Hongyuan Tao, Hang Yu p89978-90008 from Advances in Neural Information Processing Systems 37
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  • DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction

    Mingsheng Long, Qilong Ma, Shangchen Miao, Haixu Wu, Lanxiang Xing p122833-122866 from Advances in Neural Information Processing Systems 37
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  • DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs

    Xiyang Dai, Jianfeng Gao, Yu-Gang Jiang, Lingchen Meng, Rui Tian, Zuxuan Wu, Jianwei Yang p23464-23487 from Advances in Neural Information Processing Systems 37
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