Paper

  • Decoupling Knowledge from Memorization: Retrieval-Augmented Prompt Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Decoupling Knowledge from Memorization: Retrieval-Augmented Prompt Learning

    Huajun Chen, Xiang Chen, Shumin Deng, Fei Huang, Lei Li, Xiaozhuan Liang, Luo Si, Chuanqi Tan, Ningyu Zhang p23908-23922 from Advances in Neural Information Processing Systems 35
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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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  • Deductive Verification of Chain-of-Thought Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deductive Verification of Chain-of-Thought Reasoning

    Yunhao Fang, Zhiao Huang, Mingu Lee, Xuanlin Li, Zhan Ling, Roland Memisevic, Hao Su p36407-36433 from Advances in Neural Information Processing Systems 36
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  • Deep Active Learning by Leveraging Training Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Active Learning by Leveraging Training Dynamics

    Jingrui He, Wei Huang, Andrew J Margenot, Hanghang Tong, Haonan Wang, Ziwei Wu p25171-25184 from Advances in Neural Information Processing Systems 35
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  • Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis

    Wuyang Chen, Xinyu Gong, Boris Hanin, Wei Huang, Zhangyang Wang p35298-35312 from Advances in Neural Information Processing Systems 35
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  • Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems

    Bo An, Yanchen Deng, Shufeng Kong, Caihua Liu p25436-25449 from Advances in Neural Information Processing Systems 35
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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 Bidirectional Language-Knowledge Graph Pretraining

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Bidirectional Language-Knowledge Graph Pretraining

    Antoine Bosselut, Jure Leskovec, Percy Liang, Christopher D Manning, Hongyu Ren, Michihiro Yasunaga, Xikun Zhang p37309-37323 from Advances in Neural Information Processing Systems 35
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  • Deep Breathing as a Tool to Promote and Enhance Flow State

    Interdisciplinary Society For Quantitative Research in Music and Medicine

    Deep Breathing as a Tool to Promote and Enhance Flow State

    Adina Dabija p44-56 from 7th Biennial Conference of the Interdisciplinary Society for Quantitative Research in Music and Medicine (ISQRMM 2023)
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  • Deep Combinatorial Aggregation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Combinatorial Aggregation

    Daniel Cremers, Yuesong Shen p32299-32310 from Advances in Neural Information Processing Systems 35
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  • Deep Compression of Pre-Trained Transformer Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Compression of Pre-Trained Transformer Models

    Leland Chang, Chia-Yu Chen, Kaoutar El Maghraoui, Chi-Chun Charlie Liu, Sanchari Sen, Vijayalakshmi Viji Srinivasan, Swagath Venkataramani, Naigang Wang p14140-14154 from Advances in Neural Information Processing Systems 35
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