Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-To-Replace Subnetwork

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-To-Replace Subnetwork

    Junyuan Hong, Haotao Wang, Zhangyang Wang, Aston Zhang, Jiayu Zhou p36026-36039 from Advances in Neural Information Processing Systems 35
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  • Trap-MID: Trapdoor-based Defense against Model Inversion Attacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Trap-MID: Trapdoor-based Defense against Model Inversion Attacks

    Shang-Tse Chen, Zhen-Ting Liu p88486-88526 from Advances in Neural Information Processing Systems 37
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  • Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness

    Václav Voráček p133464-133486 from Advances in Neural Information Processing Systems 37
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  • TREC: Transient Redundancy Elimination-Based Convolution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TREC: Transient Redundancy Elimination-Based Convolution

    Xiaoyong Du, Jiawei Guan, Jiesong Liu, Xipeng Shen, Hsin-Hsuan Sung, Ruofan Wu, Feng Zhang p26578-26589 from Advances in Neural Information Processing Systems 35
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  • Tree Ensemble Kernels for Bayesian Optimization with Known Constraints Over Mixed-Feature Spaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Tree Ensemble Kernels for Bayesian Optimization with Known Constraints Over Mixed-Feature Spaces

    Robert Lee, Ruth Misener, Behrang Shafei, Nathan Sudermann-Merx, Alexander Thebelt, Calvin Tsay, David Walz p37401-37415 from Advances in Neural Information Processing Systems 35
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  • Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks

    Ching-Yao Chuang, Stefanie Jegelka p2944-2957 from Advances in Neural Information Processing Systems 35
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  • Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

    Hyrum Anderson, Amin Karbasi, Paul Kassianik, Anay Mehrotra, Blaine Nelson, Yaron Singer, Manolis Zampetakis p61065-61105 from Advances in Neural Information Processing Systems 37
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  • Tree of Thoughts: Deliberate Problem Solving with Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Tree of Thoughts: Deliberate Problem Solving with Large Language Models

    Yuan Cao, Tom Griffiths, Karthik Narasimhan, Izhak Shafran, Shunyu Yao, Dian Yu, Jeffrey Zhao p11809-11822 from Advances in Neural Information Processing Systems 36
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  • Tree Variational Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Tree Variational Autoencoders

    Laura Manduchi, Alain Ryser, Moritz Vandenhirtz, Julia Vogt p54952-54986 from Advances in Neural Information Processing Systems 36
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  • Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters

    Valentin De Bortoli, Arnaud Doucet, Alain Durmus, Maxence Noble p55193-55236 from Advances in Neural Information Processing Systems 36
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  • Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images

    Jonas Geiping, Tom Goldstein, John Kirchenbauer, Yuxin Wen p58047-58063 from Advances in Neural Information Processing Systems 36
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  • Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees

    Nicolas Beltran-Velez, David Blei, Alessandro Grande, Alp Kucukelbir, Achille Nazaret p118296-118325 from Advances in Neural Information Processing Systems 37
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  • TreeMoCo: Contrastive Neuron Morphology Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TreeMoCo: Contrastive Neuron Morphology Representation Learning

    Hanbo Chen, Lei He, Daniel Iascone, Lijuan Liu, Hanchuan Peng, Jiawei Yang, Jianhua Yao p25060-25073 from Advances in Neural Information Processing Systems 35
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  • TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing

    Qinliang Su, Junxi Xiao p14509-14539 from Advances in Neural Information Processing Systems 37
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  • Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization

    Chengtao Jian, Yang Jiao, Kai Yang p110613-110642 from Advances in Neural Information Processing Systems 37
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  • TRIAGE: Characterizing and auditing training data for improved regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TRIAGE: Characterizing and auditing training data for improved regression

    Jonathan Crabbé, Zhaozhi Qian, Nabeel Seedat, Mihaela Van Der Schaar p74995-75008 from Advances in Neural Information Processing Systems 36
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  • Trial matching: capturing variability with data-constrained spiking neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Trial matching: capturing variability with data-constrained spiking neural networks

    Guillaume Bellec, Wulfram Gerstner, Carl Petersen, Christos Sourmpis p74787-74798 from Advances in Neural Information Processing Systems 36
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  • Triangulation Candidates for Bayesian Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Triangulation Candidates for Bayesian Optimization

    Robert Gramacy, Annie Sauer, Nathan Wycoff p35933-35945 from Advances in Neural Information Processing Systems 35
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  • Triangulation Residual Loss for Data-efficient 3D Pose Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Triangulation Residual Loss for Data-efficient 3D Pose Estimation

    Liang An, Qionghai Dai, Fang Deng, Yipeng Huang, Tao Yu, Jiachen Zhao p12721-12732 from Advances in Neural Information Processing Systems 36
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  • Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model

    Pranjal Awasthi, Abhimanyu Das, Weihao Kong, Rajat Sen p862-873 from Advances in Neural Information Processing Systems 35
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  • Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms

    Shuang Cui, Kai Han, He Huang, You Wu p33894-33911 from Advances in Neural Information Processing Systems 36
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  • TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives

    Chitta Baral, Sheng Cheng, Tejas Gokhale, Changhoon Kim, Abhiram Kusumba, Maitreya Patel, Yezhou Yang p32731-32760 from Advances in Neural Information Processing Systems 37
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  • TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion

    Elahe Arani, Prashant Bhat, Preetha Vijayan, Bahram Zonooz p73775-73792 from Advances in Neural Information Processing Systems 36
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  • TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models

    Ladislau Bölöni, Ting Hua, Yepeng Liu, Qian Lou, Yilin Shen, Jiaqi Xue, Mengxin Zheng p65665-65677 from Advances in Neural Information Processing Systems 36
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