Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Generalized One-Shot Domain Adaptation of Generative Adversarial Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalized One-Shot Domain Adaptation of Generative Adversarial Networks

    Tiande Guo, Congying Han, Yinglu Liu, Tao Mei, Ting Yao, Zicheng Zhang p13718-13730 from Advances in Neural Information Processing Systems 35
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  • Generalized Protein Pocket Generation with Prior-Informed Flow Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalized Protein Pocket Generation with Prior-Informed Flow Matching

    Qi Liu, Zaixi Zhang, Marinka Zitnik p38559-38589 from Advances in Neural Information Processing Systems 37
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  • Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation

    Hong Chang, Xilin Chen, Ruibing Hou, Jiachen Liang, Bingpeng Ma, Shiguang Shan p60791-60803 from Advances in Neural Information Processing Systems 36
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  • Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts

    Mingyuan Bai, Zhong Jin, Yuning Qiu, Andong Wang, Qibin Zhao, Guoxu Zhou p47559-47635 from Advances in Neural Information Processing Systems 37
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  • Generalized test utilities for long-tail performance in extreme multi-label classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalized test utilities for long-tail performance in extreme multi-label classification

    Rohit Babbar, Krzysztof Dembczynski, Wojciech Kotlowski, Erik Schultheis, Marek Wydmuch p22269-22303 from Advances in Neural Information Processing Systems 36
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  • Generalized Variational Inference in Function Spaces: Gaussian Measures Meet Bayesian Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalized Variational Inference in Function Spaces: Gaussian Measures Meet Bayesian Deep Learning

    Robert Hu, Dino Sejdinovic, Veit David Wild p3716-3730 from Advances in Neural Information Processing Systems 35
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  • Generalized Weighted Path Consistency for Mastering Atari Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalized Weighted Path Consistency for Mastering Atari Games

    Shikui Tu, Lei Xu, Dengwei Zhao p50346-50357 from Advances in Neural Information Processing Systems 36
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  • Generalizing Bayesian Optimization with Decision-Theoretic Entropies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalizing Bayesian Optimization with Decision-Theoretic Entropies

    Stefano Ermon, Chenlin Meng, Willie Neiswanger, Lantao Yu, Shengjia Zhao p21016-21029 from Advances in Neural Information Processing Systems 35
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  • Generalizing CNNs to graphs with learnable neighborhood quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalizing CNNs to graphs with learnable neighborhood quantization

    Neil Gallagher, Logan Grosenick, Conor Liston, Isaac Osafo Nkansah, Ruchi Sandilya p82318-82349 from Advances in Neural Information Processing Systems 37
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  • Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization

    Yuhui Chen, Zhennan Jiang, Haoran Li, Dongbin Zhao p109672-109700 from Advances in Neural Information Processing Systems 37
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  • Generalizing Consistent Multi-Class Classification with Rejection to Be Compatible with Arbitrary Losses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalizing Consistent Multi-Class Classification with Rejection to Be Compatible with Arbitrary Losses

    Bo An, Tianchi Cai, Yuzhou Cao, Lei Feng, Lihong Gu, Jinjie Gu, Gang Niu, Masashi Sugiyama p521-534 from Advances in Neural Information Processing Systems 35
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  • Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

    Wenhao Ding, Bo Li, Haohong Lin, Ding Zhao p26532-26548 from Advances in Neural Information Processing Systems 35
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  • Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems

    Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama p24171-24190 from Advances in Neural Information Processing Systems 36
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  • Generalizing Nonlinear ICA Beyond Structural Sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalizing Nonlinear ICA Beyond Structural Sparsity

    Kun Zhang, Yujia Zheng p13326-13355 from Advances in Neural Information Processing Systems 36
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  • Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

    Lei Bai, Hao Chen, Tao Han, Fenghua Ling, Wanli Ouyang, Wanghan Xu, Wenlong Zhang p23325-23351 from Advances in Neural Information Processing Systems 37
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  • Generate Universal Adversarial Perturbations for Few-Shot Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generate Universal Adversarial Perturbations for Few-Shot Learning

    Yiman Hu, Ruixuan Li, Yuhua Li, Yixiong Zou p102672-102695 from Advances in Neural Information Processing Systems 37
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  • Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion

    Xiangnan He, Xiang Wang, Zhicai Wang, Jiancan Wu, Zhengyi Yang, Yancheng Yuan p24247-24261 from Advances in Neural Information Processing Systems 36
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  • Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation

    Ziyi Chen, Congyan Lang, Yidong Li, Jun Liu, Tao Wang, Lili Wei p31103-31123 from Advances in Neural Information Processing Systems 37
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  • Generating Behaviorally Diverse Policies with Latent Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generating Behaviorally Diverse Policies with Latent Diffusion Models

    Sumeet Batra, Shashank Hegde, Gaurav Sukhatme, K. R. Zentner p7541-7554 from Advances in Neural Information Processing Systems 36
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  • Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

    Minttu Alakuijala, Nicola Dainese, Pekka Marttinen, Matteo Merler p60429-60474 from Advances in Neural Information Processing Systems 37
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  • Generating compositional scenes via Text-to-image RGBA Instance Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generating compositional scenes via Text-to-image RGBA Instance Generation

    Alessandro Fontanella, Sarah Parisot, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang p43864-43893 from Advances in Neural Information Processing Systems 37
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  • Generating Highly Designable Proteins with Geometric Algebra Flow Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generating Highly Designable Proteins with Geometric Algebra Flow Matching

    Frauke Gräter, Leif Seute, Jan Stühmer, Vsevolod Viliuga, Simon Wagner, Nicolas Wolf p77987-78026 from Advances in Neural Information Processing Systems 37
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  • Generating Images with Multimodal Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generating Images with Multimodal Language Models

    Daniel Fried, Jing Yu Koh, Russ Salakhutdinov p21487-21506 from Advances in Neural Information Processing Systems 36
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  • Generating Long Videos of Dynamic Scenes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generating Long Videos of Dynamic Scenes

    Timo Aila, Miika Aittala, Tim Brooks, Alexei Efros, Janne Hellsten, Tero Karras, Jaakko Lehtinen, Ming-Yu Liu, Ting-Chun Wang p31769-31781 from Advances in Neural Information Processing Systems 35
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