Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing

Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong p32469-32511 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Blurred-Dilated Method for Adversarial Attacks

Yang Deng, Weibin Wu, Jianping Zhang, Zibin Zheng p58613-58624 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset

Zhiheng Xi, Guanyu Li, Yutao Fan, Honglin Guo, Yufang Liu, Xiaoran Fan, Jiaqi Liu, Jingchao Ding, Wangmeng Zuo, Zhenfei Yin, LEI BAI, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang p69988-70014 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BMRS: Bayesian Model Reduction for Structured Pruning

Dustin Wright, Christian Igel, Raghavendra Selvan p64119-64144 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling

Yizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu, Hao Jiang, Yijie Li, Zhao Cao p22699-22712 from Advances in Neural Information Processing Systems 35

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BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification

Xiaobin Liu, Jianing Li, Baiwei Guo, Wenbin Zhu, Jing Yuan p181307-181331 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BNMusic: Blending Environmental Noises into Personalized Music

Chi Zuo, Martin Møller, Pablo Martínez-Nuevo, Huayang Huang, Yu Wu, Ye Zhu p109235-109258 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem

Seunghee Ryu, Donghoon Kwon, Seongjin Choi, Aryan Deshwal, Seungmo Kang, Carolina Osorio p24282-24316 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information

Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran p39052-39074 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration

俊琪 ?, Zhichang Guo, Dazhi Zhang, Dong Li, Runze Liu, Pengfei Li, Kai Tian, Biqing Qi p47785-47821 from Advances in Neural Information Processing Systems 38

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BOLD: Boolean Logic Deep Learning

Van Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien Tran p61912-61962 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation

Rishal Aggarwal, Jacky Chen, Nicholas Boffi, David Koes p185323-185355 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu p17248-17262 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

Lin Gui, Cristina Gârbacea, Victor Veitch p2851-2885 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H Chen, Zhihao Jia, Philip S Yu p27021-27035 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

Evan Antoniuk, Shehtab Zaman, Tal Ben-Nun, Peggy Li, James Diffenderfer, Busra Sahin, Obadiah Smolenski, Everett Grethel, Tim Hsu, Anna Hiszpanski, Kenneth Chiu, Bhavya Kailkhura, Brian Van Essen p141311-141362 from Advances in Neural Information Processing Systems 38

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BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping

Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia p67795-67825 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Boosted Conformal Prediction Intervals

Ran Xie, Rina Barber, Emmanuel Candès p71868-71899 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Boosting Adversarial Transferability by Achieving Flat Local Maxima

Zhijin Ge, Hongying Liu, Wang Xiaosen, Fanhua Shang, Yuanyuan Liu p70141-70161 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Boosting Adversarial Transferability with Spatial Adversarial Alignment

Zhaoyu Chen, HaiJing Guo, Kaixun Jiang, Jiyuan Fu, Xinyu Zhou, Dingkang Yang, Hao Tang, Bo Li, Wenqiang Zhang p30022-30048 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models

Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia p85131-85154 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness

Avrim Blum, Omar Montasser, Greg Shakhnarovich, Hongyang Zhang p1307-1319 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning

Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari p70659-70692 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Boosting Generative Image Modeling via Joint Image-Feature Synthesis

Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou, Spyridon Gidaris, Nikos Komodakis p18836-18865 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing

Blurred-Dilated Method for Adversarial Attacks

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset

BMRS: Bayesian Model Reduction for Structured Pruning

BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling

BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification

BNMusic: Blending Environmental Noises into Personalized Music

BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information

Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration

BOLD: Boolean Logic Deep Learning

BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs

BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping

Boosted Conformal Prediction Intervals

Boosting Adversarial Transferability by Achieving Flat Local Maxima

Boosting Adversarial Transferability with Spatial Adversarial Alignment

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models

Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness

Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning

Boosting Generative Image Modeling via Joint Image-Feature Synthesis

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