Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

    Antoine Dedieu, J. Guntupalli, Ahmad Humayun, Miguel Lázaro-Gredilla, Wolfgang Lehrach, Kevin Murphy, Joseph Ortiz, Sivaramakrishnan Swaminathan, Carter Wendelken, Guangyao Zhou p6574-6602 from Advances in Neural Information Processing Systems 37
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  • DMesh: A Differentiable Mesh Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMesh: A Differentiable Mesh Representation

    Matheus Gadelha, Ming Lin, Sanghyun Son, Zexiang Xu, Yang Zhou, Yi Zhou p12035-12077 from Advances in Neural Information Processing Systems 37
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  • DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection

    Linfeng Cao, Junru Chen, Lvbin Ma, Shihao Tu, Yang Yang, Daoze Zhang, Yin Zhang p28254-28280 from Advances in Neural Information Processing Systems 37
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  • DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

    Tiancong Chen, Taihui Li, Ju Sun, Yuxiang Wan, Hengkang Wang, Xu Zhang p117881-117916 from Advances in Neural Information Processing Systems 37
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  • DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering

    Jiacheng Deng, Yanzhe Liang, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Ruijie Zhu p84114-84138 from Advances in Neural Information Processing Systems 37
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  • DNA: Proximal Policy Optimization with a Dual Network Architecture

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DNA: Proximal Policy Optimization with a Dual Network Architecture

    Matthew Aitchison, Penny Sweetser p35921-35932 from Advances in Neural Information Processing Systems 35
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  • Do causal predictors generalize better to new domains?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do causal predictors generalize better to new domains?

    Moritz Hardt, Vivian Nastl p31202-31315 from Advances in Neural Information Processing Systems 37
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  • Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Sanghyuk Chun, Sangwon Jung, Taesup Moon, Sumin Yu p56041-56053 from Advances in Neural Information Processing Systems 37
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  • Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

    Orhan Firat, Ankush Garg, Behrooz Ghorbani, Justin Gilmer, Derrick Xin p13597-13609 from Advances in Neural Information Processing Systems 35
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  • Do Finetti: On Causal Effects for Exchangeable Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Finetti: On Causal Effects for Exchangeable Data

    Siyuan Guo, Ferenc Huszár, Karthika Mohan, Bernhard Schölkopf, Chi Zhang p127317-127345 from Advances in Neural Information Processing Systems 37
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  • Do LLMs Build World Representations? Probing Through the Lens of State Abstraction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do LLMs Build World Representations? Probing Through the Lens of State Abstraction

    Yanshuai Cao, Jackie Cheung, Zichao Li p98009-98032 from Advances in Neural Information Processing Systems 37
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  • Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

    Bryon Aragam, Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar p67712-67757 from Advances in Neural Information Processing Systems 37
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  • Do Not Marginalize Mechanisms, Rather Consolidate!

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Not Marginalize Mechanisms, Rather Consolidate!

    Devendra Dhami, Kristian Kersting, Moritz Willig, Matej Zecevic p60947-60965 from Advances in Neural Information Processing Systems 36
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  • Do Residual Neural Networks Discretize Neural Ordinary Differential Equations?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Residual Neural Networks Discretize Neural Ordinary Differential Equations?

    Pierre Ablin, Gabriel Peyré, Michael Sander p36520-36532 from Advances in Neural Information Processing Systems 35
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  • Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning

    Florian Bordes, Kamalika Chaudhuri, Chuan Guo, Casey Meehan, Pascal Vincent p42775-42798 from Advances in Neural Information Processing Systems 36
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  • Do's and Don'ts: Learning Desirable Skills with Instruction Videos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do's and Don'ts: Learning Desirable Skills with Instruction Videos

    Jaegul Choo, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Byungkun Lee, Hojoon Lee p47741-47766 from Advances in Neural Information Processing Systems 37
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  • Does a sparse ReLU network training problem always admit an optimum ?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does a sparse ReLU network training problem always admit an optimum ?

    Remi Gribonval, Tung Le, Elisa Riccietti p65265-65298 from Advances in Neural Information Processing Systems 36
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  • Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework

    Hisao Ishibuchi, Mingchen Jiang, Weiduo Liao, Ying Wei, Qingfu Zhang p33499-33513 from Advances in Neural Information Processing Systems 36
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  • Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors

    Jiashi Gao, Ziwei Wang, Xuetao Wei, Xin Yao, Xiangyu Zhao p47849-47875 from Advances in Neural Information Processing Systems 37
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  • Does GNN Pretraining Help Molecular Representation?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does GNN Pretraining Help Molecular Representation?

    Hanjun Dai, Ruoxi Sun, Adams Wei Yu p12096-12109 from Advances in Neural Information Processing Systems 35
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  • Does Graph Distillation See Like Vision Dataset Counterpart?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Graph Distillation See Like Vision Dataset Counterpart?

    Xingcheng Fu, Cheng Ji, Jianxin Li, Qingyun Sun, Hao Tang, Kai Wang, Beining Yang, Yang You p53201-53226 from Advances in Neural Information Processing Systems 36
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  • Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

    Yatao Bian, Yongqiang Chen, James Cheng, Bo Han, Binghui Xie, Kaiwen Zhou p71486-71519 from Advances in Neural Information Processing Systems 36
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  • Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models

    Mohit Bansal, Asma Ghandeharioun, Peter Hase, Been Kim p17643-17668 from Advances in Neural Information Processing Systems 36
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  • Does Momentum Change the Implicit Regularization on Separable Data?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Momentum Change the Implicit Regularization on Separable Data?

    Wei Chen, Tie-Yan Liu, Zhi-Ming Ma, Qi Meng, Ruoyu Sun, Bohan Wang, Huishuai Zhang p26764-26776 from Advances in Neural Information Processing Systems 35
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