Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets

    Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad p71703-71722 from Advances in Neural Information Processing Systems 36
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  • ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling

    Francesca Babiloni, Alexandros Lattas, Jiankang Deng, Stefanos Zafeiriou p97167-97183 from Advances in Neural Information Processing Systems 37
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  • IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval

    Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo p57256-57275 from Advances in Neural Information Processing Systems 36
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  • Idempotent Learned Image Compression with Right-Inverse

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Idempotent Learned Image Compression with Right-Inverse

    Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang p12878-12896 from Advances in Neural Information Processing Systems 36
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  • Identifiability Analysis of Linear ODE Systems with Hidden Confounders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifiability Analysis of Linear ODE Systems with Hidden Confounders

    Yuanyuan Wang, Biwei Huang, Wei Huang, Xi Geng, Mingming Gong p59054-59092 from Advances in Neural Information Processing Systems 37
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  • Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning

    Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher p550-564 from Advances in Neural Information Processing Systems 35
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  • Identifiability Guarantees for Causal Disentanglement from Purely Observational Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifiability Guarantees for Causal Disentanglement from Purely Observational Data

    Ryan Welch, Jiaqi Zhang, Caroline Uhler p102796-102821 from Advances in Neural Information Processing Systems 37
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  • Identifiability Guarantees for Causal Disentanglement from Soft Interventions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifiability Guarantees for Causal Disentanglement from Soft Interventions

    Jiaqi Zhang, Kristjan Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler p50254-50292 from Advances in Neural Information Processing Systems 36
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  • Identifiability of Deep Generative Models Without Auxiliary Information

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifiability of Deep Generative Models Without Auxiliary Information

    Bohdan Kivva, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam p15687-15701 from Advances in Neural Information Processing Systems 35
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  • Identifiability of Deep Polynomial Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifiability of Deep Polynomial Neural Networks

    Konstantin Usevich, Ricardo Borsoi, Clara Dérand, Marianne Clausel p90810-90859 from Advances in Neural Information Processing Systems 38
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  • Identifiable Contrastive Learning with Automatic Feature Importance Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifiable Contrastive Learning with Automatic Feature Importance Discovery

    Qi Zhang, Yifei Wang, Yisen Wang p58461-58477 from Advances in Neural Information Processing Systems 36
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  • Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention

    Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro p93300-93335 from Advances in Neural Information Processing Systems 37
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  • Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures

    Subash Timilsina, Sagar Shrestha, Xiao Fu p127799-127833 from Advances in Neural Information Processing Systems 37
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  • Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments

    Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng p48256-48291 from Advances in Neural Information Processing Systems 37
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  • Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees

    Negin Musavi, Ziyao Guo, Geir Dullerud, Yingying Li p85500-85522 from Advances in Neural Information Processing Systems 37
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  • Identification of Nonlinear Latent Hierarchical Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identification of Nonlinear Latent Hierarchical Models

    Lingjing Kong, Biwei Huang, Feng Xie, Eric Xing, Yuejie Chi, Kun Zhang p2010-2032 from Advances in Neural Information Processing Systems 36
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  • Identification, Amplification and Measurement: A Bridge to Gaussian Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identification, Amplification and Measurement: A Bridge to Gaussian Differential Privacy

    Yi Liu, Ke Sun, Bei Jiang, Linglong Kong p11410-11422 from Advances in Neural Information Processing Systems 35
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  • Identify Then Recommend: Towards Unsupervised Group Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identify Then Recommend: Towards Unsupervised Group Recommendation

    Yue Liu, Shihao Zhu, Tianyuan Yang, Jian Ma, Wenliang Zhong p96101-96126 from Advances in Neural Information Processing Systems 37
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  • Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

    Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu p30300-30326 from Advances in Neural Information Processing Systems 37
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  • Identifying Causal Effects Under Functional Dependencies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Causal Effects Under Functional Dependencies

    Yizuo Chen, Adnan Darwiche p87013-87041 from Advances in Neural Information Processing Systems 37
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  • Identifying Equivalent Training Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Equivalent Training Dynamics

    William Redman, Juan Bello-Rivas, Maria Fonoberova, Ryan Mohr, Yannis Kevrekidis, Igor Mezic p23603-23629 from Advances in Neural Information Processing Systems 37
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  • Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

    Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill, Lee Sharkey p107286-107325 from Advances in Neural Information Processing Systems 37
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  • Identifying General Mechanism Shifts in Linear Causal Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying General Mechanism Shifts in Linear Causal Representations

    Tianyu Chen, Kevin Bello, Francesco Locatello, Bryon Aragam, Pradeep Ravikumar p42405-42429 from Advances in Neural Information Processing Systems 37
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  • Identifying Good Directions to Escape the NTK Regime and Efficiently Learn Low-Degree Plus Sparse Polynomials

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Good Directions to Escape the NTK Regime and Efficiently Learn Low-Degree Plus Sparse Polynomials

    Eshaan Nichani, Yu Bai, Jason Lee p14568-14581 from Advances in Neural Information Processing Systems 35
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