Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader

    Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing p67309-67328 from Advances in Neural Information Processing Systems 36
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  • From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics

    Zheng-An Chen, Tao Luo p46499-46534 from Advances in Neural Information Processing Systems 38
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  • From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards

    Liad Erez, Tomer Koren p169255-169288 from Advances in Neural Information Processing Systems 38
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  • From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks

    Awa Khouna, Julien Ferry, Thibaut Vidal p3046-3081 from Advances in Neural Information Processing Systems 38
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  • From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging

    Tao Liu, Dafeng Zhang, Gengchen Li, Shizhuo Liu, yongqi song, Senmao Li, Shiqi Yang, Boqian Li, Kai Wang, Yaxing Wang p23583-23614 from Advances in Neural Information Processing Systems 38
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  • From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement

    Zhibin Gu, Songhe Feng p103545-103573 from Advances in Neural Information Processing Systems 37
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  • From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion

    Robin San Roman, Yossi Adi, Antoine Deleforge, Romain Serizel, Gabriel Synnaeve, Alexandre Defossez p1526-1538 from Advances in Neural Information Processing Systems 36
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  • From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization

    Shoaib Ahmed Siddiqui, Adrian Weller, David Krueger, Gintare Karolina Dziugaite, Michael Mozer, Eleni Triantafillou p143463-143494 from Advances in Neural Information Processing Systems 38
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  • From Euler to AI: Unifying Formulas for Mathematical Constants

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Euler to AI: Unifying Formulas for Mathematical Constants

    Tomer Raz, Michael Shalyt, Elyasheev Leibtag, Rotem Kalisch, Shachar Weinbaum, Yaron Hadad, Ido Kaminer p137390-137471 from Advances in Neural Information Processing Systems 38
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  • From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots

    Yuxuan Wang, Ming Yang, Gang Ding, Yu Zhang, Weishuai Zeng, Xinrun Xu, Haobin Jiang, Zongqing Lu p164010-164034 from Advances in Neural Information Processing Systems 38
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  • From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures

    Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff, Thomas Lew, John Subosits, Marc Hilbert, Thomas Bartz-Beielstein p172488-172530 from Advances in Neural Information Processing Systems 38
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  • From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit

    Valérie Costa, Thomas Fel, Ekdeep S Lubana, Bahareh Tolooshams, Demba Ba p38625-38668 from Advances in Neural Information Processing Systems 38
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  • From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D

    Jiahui Zhang, Yurui Chen, Yueming Xu, Ze Huang, Jilin Mei, Chunhui Chen, Yanpeng Zhou, Yu-Jie Yuan, Xinyue Cai, Guowei Huang, Xingyue Quan, Hang Xu, Li Zhang p171909-171941 from Advances in Neural Information Processing Systems 38
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  • From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction

    Zhida Zhao, Talas Fu, Yifan Wang, Lijun Wang, Huchuan Lu p149231-149257 from Advances in Neural Information Processing Systems 38
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  • From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent

    Christopher De Sa, Satyen Kale, Jason Lee, Ayush Sekhari, Karthik Sridharan p30963-30976 from Advances in Neural Information Processing Systems 35
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  • From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging

    Dmitry Lvov, Ilya Pershin p145766-145787 from Advances in Neural Information Processing Systems 38
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  • From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs

    Xiyuan Jin, Jing Wang, Ziwei Lin, QIANRU JIA, Yuqing Huang, Xiaojun Ning, Zhonghua Shi, Youfang Lin p176220-176245 from Advances in Neural Information Processing Systems 38
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  • From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD

    Konstantinos Tsiolis, Alireza Mousavi-Hosseini, Murat Erdogdu p92555-92589 from Advances in Neural Information Processing Systems 38
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  • From Instance Training to Instruction Learning: Task Adapters Generation from Instructions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Instance Training to Instruction Learning: Task Adapters Generation from Instructions

    Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao p45552-45577 from Advances in Neural Information Processing Systems 37
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  • From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring

    Yang Li, Qiang Sheng, Yehan Yang, Xueyao Zhang, Juan Cao p60486-60514 from Advances in Neural Information Processing Systems 38
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  • From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs

    Xin Li, Xiaotao Zheng, Zhihong Xia p143169-143194 from Advances in Neural Information Processing Systems 38
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  • From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models

    Charles W J Pugh, Paulina G. Nuñez-Valencia, Mafalda Dias, Jonathan Frazer p145043-145074 from Advances in Neural Information Processing Systems 38
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  • From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization

    Mohammad Pedramfar, Vaneet Aggarwal p37626-37664 from Advances in Neural Information Processing Systems 37
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  • From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning

    Junsoo Oh, Jerry Song, Chulhee Yun p187416-187485 from Advances in Neural Information Processing Systems 38
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