Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • An In-Depth Study of Stochastic Backpropagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An In-Depth Study of Stochastic Backpropagation

    Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe p21819-21830 from Advances in Neural Information Processing Systems 35
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  • An Inductive Bias for Tabular Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Inductive Bias for Tabular Deep Learning

    Ege Beyazit, Jonathan Kozaczuk, Bo Li, Vanessa Wallace, Bilal Fadlallah p43108-43135 from Advances in Neural Information Processing Systems 36
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  • An Information Theoretic Perspective on Conformal Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information Theoretic Perspective on Conformal Prediction

    Alvaro Correia, Fabio Massoli, Christos Louizos, Arash Behboodi p101000-101041 from Advances in Neural Information Processing Systems 37
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  • An Information Theory Perspective on Variance-Invariance-Covariance Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information Theory Perspective on Variance-Invariance-Covariance Regularization

    Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann Lecun p33965-33998 from Advances in Neural Information Processing Systems 36
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  • An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions

    Mohammad Jalali, Cheuk Ting Li, Farzan Farnia p9931-9943 from Advances in Neural Information Processing Systems 36
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  • An Information-Theoretic Framework for Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information-Theoretic Framework for Deep Learning

    Hong Jun Jeon, Benjamin Van Roy p3279-3291 from Advances in Neural Information Processing Systems 35
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  • An information-theoretic quantification of the content of communication between brain regions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An information-theoretic quantification of the content of communication between brain regions

    Marco Celotto, Jan Bím, Alejandro Tlaie, Vito De Feo, Alessandro Toso, Stefan Lemke, Daniel Chicharro, Hamed Nili, Malte Bieler, Ileana Hanganu-Opatz, Tobias Donner, Andrea Brovelli, Stefano Panzeri p64213-64265 from Advances in Neural Information Processing Systems 36
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  • An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models

    Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang p2207-2234 from Advances in Neural Information Processing Systems 38
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  • An Inverse Scaling Law for CLIP Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Inverse Scaling Law for CLIP Training

    Xianhang Li, Zeyu Wang, Cihang Xie p49068-49087 from Advances in Neural Information Processing Systems 36
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  • An Investigation into Whitening Loss for Self-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Investigation into Whitening Loss for Self-Supervised Learning

    Xi Weng, Lei Huang, Lei Zhao, Rao Anwer, Salman Khan, Fahad Shahbaz Khan p29748-29760 from Advances in Neural Information Processing Systems 35
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  • An Investigation of Memorization Risk in Healthcare Foundation Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Investigation of Memorization Risk in Healthcare Foundation Models

    Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour, Walter Gerych, Marzyeh Ghassemi p11709-11734 from Advances in Neural Information Processing Systems 38
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  • An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise

    Johanna Düngler, Amartya Sanyal p146520-146565 from Advances in Neural Information Processing Systems 38
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  • An Iterative Self-Learning Framework for Medical Domain Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Iterative Self-Learning Framework for Medical Domain Generalization

    Zhenbang Wu, Huaxiu Yao, David Liebovitz, Jimeng Sun p54833-54854 from Advances in Neural Information Processing Systems 36
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  • An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement

    Gaku Morio, Christopher D Manning p39678-39702 from Advances in Neural Information Processing Systems 36
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  • An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning

    Qian Lin, Zongkai Liu, Danying Mo, Chao Yu p140292-140319 from Advances in Neural Information Processing Systems 37
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  • An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions

    Yingtai Xiao, Guanlin He, Danfeng Zhang, Daniel Kifer p20495-20539 from Advances in Neural Information Processing Systems 36
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  • An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization

    Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa p36738-36767 from Advances in Neural Information Processing Systems 36
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  • An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions

    Michael Scholkemper, Michael T Schaub p71358-71374 from Advances in Neural Information Processing Systems 36
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  • An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds

    Siyu Chen, Theodor Misiakiewicz, Ilias Zadik, Peiyuan Zhang p122446-122491 from Advances in Neural Information Processing Systems 38
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  • AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection

    Saleh Momeni, Changnan Xiao, Bing Liu p81072-81093 from Advances in Neural Information Processing Systems 38
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  • ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

    Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen p60012-60039 from Advances in Neural Information Processing Systems 37
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  • Analog Foundation Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Analog Foundation Models

    Julian Büchel, Iason Chalas, Giovanni Acampa, An Chen, Omobayode Fagbohungbe, Hsinyu Tsai, Kaoutar El Maghraoui, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian p68038-68087 from Advances in Neural Information Processing Systems 38
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  • Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions

    Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Omobayode Fagbohungbe, Tianyi Chen p116812-116865 from Advances in Neural Information Processing Systems 38
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  • Analogy-based Multi-Turn Jailbreak against Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Analogy-based Multi-Turn Jailbreak against Large Language Models

    Mengjie Wu, Yihao Huang, Zhenjun Lin, Kangjie Chen, Yuyang zhang, Yuhan Huang, Run Wang, Lina Wang p137184-137211 from Advances in Neural Information Processing Systems 38
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