Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Advancing Model Pruning Via Bi-Level Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Advancing Model Pruning Via Bi-Level Optimization

    Tianlong Chen, Mingyi Hong, Sijia Liu, Parikshit Ram, Yanzhi Wang, Yuguang Yao, Yihua Zhang, Pu Zhao p18309-18326 from Advances in Neural Information Processing Systems 35
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  • Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler

    Yufan Chen, Jia Fu, Ao Luo, Kunyu Peng, Alina Roitberg, M. Saquib Sarfraz, Rainer Stiefelhagen, Di Wen, Kailun Yang p85412-85440 from Advances in Neural Information Processing Systems 37
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  • Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators

    Dongqi Han, Xuanjing Huang, Dongsheng Li, Changze Lv, Yansen Wang, Xiaoqing Zheng p26915-26940 from Advances in Neural Information Processing Systems 37
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  • Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees

    Qing-Guo Chen, Sijia Chen, Weihua Luo, Yibo Wang, Yi-Feng Wu, Zhao Xu, Kaifu Zhang, Lijun Zhang p106555-106581 from Advances in Neural Information Processing Systems 37
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  • Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation

    Erping Li, Lei Liu, Aili Wang, Gaoang Wang, Chengting Yu p115786-115815 from Advances in Neural Information Processing Systems 37
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  • Advancing Video Anomaly Detection: A Concise Review and a New Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Advancing Video Anomaly Detection: A Concise Review and a New Dataset

    Chen Chen, Tom Gedeon, Arjun Raj, Lei Wang, Liyun Zhu p89943-89977 from Advances in Neural Information Processing Systems 37
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  • Advection Augmented Convolutional Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Advection Augmented Convolutional Neural Networks

    Moshe Eliasof, Eldad Haber, Siddharth Rout, Niloufar Zakariaei p35225-35256 from Advances in Neural Information Processing Systems 37
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  • Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks

    Sizhe Chen, Xiaolin Huang, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie p14929-14943 from Advances in Neural Information Processing Systems 35
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  • Adversarial Attacks on Online Learning to Rank with Click Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Attacks on Online Learning to Rank with Click Feedback

    Mohammad Hajiesmaili, Shuai Li, Zhiyong Wang, Adam Wierman, Zhiyao Zhang, Jinhang Zuo p41675-41692 from Advances in Neural Information Processing Systems 36
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  • Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach

    Fengxiang He, Furong Huang, Jiahao Su, Yanchao Sun, Dacheng Tao, Xinmei Tian, Kaiwen Yang, Tianyi Zhou p22035-22048 from Advances in Neural Information Processing Systems 35
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  • Adversarial Counterfactual Environment Model Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Counterfactual Environment Model Learning

    Xiong-Hui Chen, Ruijin Ding, Huang Fangsheng, Rong-Jun Qin, Chenghe Wang, Hongqiu Wu, Yinan Wu, Yang Yu, Zhihua Yu, Chen Zhenjun, Zhengmao Zhu p70654-70706 from Advances in Neural Information Processing Systems 36
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  • Adversarial Environment Design via Regret-Guided Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Environment Design via Regret-Guided Diffusion Models

    Hojun Chung, Dohyeong Kim, Minsoo Kim, Junseo Lee, Songhwai Oh p63715-63746 from Advances in Neural Information Processing Systems 37
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  • Adversarial Examples Are Not Real Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Examples Are Not Real Features

    Yiwen Guo, Ang Li, Yisen Wang, Yifei Wang p17222-17237 from Advances in Neural Information Processing Systems 36
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  • Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces

    Odelia Melamed, Gal Vardi, Gilad Yehudai p5028-5049 from Advances in Neural Information Processing Systems 36
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  • Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness

    Ambar Pal, Jeremias Sulam, Rene Vidal p46989-47015 from Advances in Neural Information Processing Systems 36
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  • Adversarial Learning for Feature Shift Detection and Correction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Learning for Feature Shift Detection and Correction

    Míriam Barrabés, Margarita Geleta, Xavier Giró-I-Nieto, Alexander Ioannidis, Daniel Mas Montserrat p57597-57638 from Advances in Neural Information Processing Systems 36
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  • Adversarial Model for Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Model for Offline Reinforcement Learning

    Mohak Bhardwaj, Byron Boots, Ching-An Cheng, Nan Jiang, Tengyang Xie p1245-1269 from Advances in Neural Information Processing Systems 36
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  • Adversarial Moment-Matching Distillation of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Moment-Matching Distillation of Large Language Models

    Chen Jia p112184-112216 from Advances in Neural Information Processing Systems 37
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  • Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

    Jun Sun, Meng Sun, Zeming Wei, Yihao Zhang p126243-126264 from Advances in Neural Information Processing Systems 37
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  • Adversarial Reprogramming Revisited

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Reprogramming Revisited

    Matthias Englert, Ranko Lazic p28588-28600 from Advances in Neural Information Processing Systems 35
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  • Adversarial Resilience in Sequential Prediction via Abstention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Resilience in Sequential Prediction via Abstention

    Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty p8027-8047 from Advances in Neural Information Processing Systems 36
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  • Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach

    Qiyu Kang, Rui She, Yang Song, Wee Peng Tay, Sijie Wang, Kai Zhao p3338-3361 from Advances in Neural Information Processing Systems 36
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  • Adversarial Robustness is at Odds with Lazy Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Robustness is at Odds with Lazy Training

    Raman Arora, Poorya Mianjy, Enayat Ullah, Yunjuan Wang p6505-6516 from Advances in Neural Information Processing Systems 35
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  • Adversarial Robustness through Random Weight Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adversarial Robustness through Random Weight Sampling

    Minjing Dong, Yanxiang Ma, Chang Xu p37657-37669 from Advances in Neural Information Processing Systems 36
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