Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data

    Shlomi Hod, Lucas Rosenblatt, Julia Stoyanovich p11145-11210 from Advances in Neural Information Processing Systems 38
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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

    Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo p47741-47766 from Advances in Neural Information Processing Systems 37
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  • Do-PFN: In-Context Learning for Causal Effect Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do-PFN: In-Context Learning for Causal Effect Estimation

    Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Schölkopf p193605-193642 from Advances in Neural Information Processing Systems 38
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  • Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback

    Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm p22697-22729 from Advances in Neural Information Processing Systems 38
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  • Document Summarization with Conformal Importance Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Document Summarization with Conformal Importance Guarantees

    Bruce Kuwahara, Chen-Yuan Lin, Xiao Shi Huang, Kin Kwan Leung, Jullian Yapeter, Ilya Stanevich, Felipe Perez, Jesse Cresswell p74739-74784 from Advances in Neural Information Processing Systems 38
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  • DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel

    Alan J.X. Guo, Sihan Sun, Xiang Wei, Mengyi Wei, Xin Chen p14540-14559 from Advances in Neural Information Processing Systems 38
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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 ?

    Tung Le, Remi Gribonval, 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

    Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi 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, Xiangyu Zhao, Xin Yao, Xuetao Wei 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?

    Ruoxi Sun, Hanjun Dai, 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?

    Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li 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?

    Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng 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

    Peter Hase, Mohit Bansal, Been Kim, Asma Ghandeharioun 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?

    Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu p26764-26776 from Advances in Neural Information Processing Systems 35
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  • Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?

    Yihao Li, Saeed Salehi, Lyle Ungar, Konrad Kording p3783-3812 from Advances in Neural Information Processing Systems 38
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  • Does progress on ImageNet transfer to real-world datasets?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does progress on ImageNet transfer to real-world datasets?

    Alex Fang, Simon Kornblith, Ludwig Schmidt p25050-25080 from Advances in Neural Information Processing Systems 36
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  • Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models

    Javier González, Aditya Nori p117737-117761 from Advances in Neural Information Processing Systems 37
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  • Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

    Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Yang Yue, Shiji Song, Gao Huang p64304-64339 from Advances in Neural Information Processing Systems 38
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  • Does Representation Guarantee Welfare?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Representation Guarantee Welfare?

    Jakob de Raaij, Ariel Procaccia, Alexandros Psomas p59575-59620 from Advances in Neural Information Processing Systems 38
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  • Does Self-Supervised Learning Really Improve Reinforcement Learning from Pixels?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Self-Supervised Learning Really Improve Reinforcement Learning from Pixels?

    Xiang Li, Jinghuan Shang, Srijan Das, Michael Ryoo p30865-30881 from Advances in Neural Information Processing Systems 35
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  • Does Stochastic Gradient really succeed for bandits?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Stochastic Gradient really succeed for bandits?

    Dorian Baudry, Emmeran Johnson, Simon Vary, Ciara Pike-Burke, Patrick Rebeschini p125963-126030 from Advances in Neural Information Processing Systems 38
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  • Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models

    Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Yifu Lu, Mengdi Wang, Dinesh Manocha, Furong Huang, Mohammad Ghavamzadeh, Amrit Singh Bedi p191359-191386 from Advances in Neural Information Processing Systems 38
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  • Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?

    Qingsong Zhao, Yi Wang, Jilan Xu, Yinan He, Zifan Song, Limin Wang, Yu Qiao, Cairong Zhao p47908-47930 from Advances in Neural Information Processing Systems 37
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  • Does Visual Pretraining Help End-to-End Reasoning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Does Visual Pretraining Help End-to-End Reasoning?

    Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid p21524-21540 from Advances in Neural Information Processing Systems 36
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