Paper

  • Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection

    De Cheng, Lechao Cheng, Chaowei Fang, Xinbo Gao, Changzhe Jiao, Nannan Wang, Yubiao Wang, Ying Yang p26846-26871 from Advances in Neural Information Processing Systems 37
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  • Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability

    Alexandre Araujo, Yongxin Chen, Bin Hu, Haotian Xue p2894-2921 from Advances in Neural Information Processing Systems 36
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  • Diffusion-based Curriculum Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-based Curriculum Reinforcement Learning

    Giovanni Iacca, Alois Knoll, Ozgur S. Oguz, Erdi Sayar p97587-97617 from Advances in Neural Information Processing Systems 37
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  • Diffusion-Based Molecule Generation with Informative Prior Bridges

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Based Molecule Generation with Informative Prior Bridges

    Chengyue Gong, Qiang Liu, Xingchao Liu, Lemeng Wu, Mao Ye p36533-36545 from Advances in Neural Information Processing Systems 35
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  • Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation

    Zhekai Du, Jingjing Li p17129-17155 from Advances in Neural Information Processing Systems 36
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  • Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

    Shutong Ding, Ke Hu, Kan Ren, Ye Shi, Jingya Wang, Jingyi Yu, Weinan Zhang, Zhenhao Zhang p53945-53968 from Advances in Neural Information Processing Systems 37
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  • Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

    Liyuan Mao, Haoran Xu, Xianyuan Zhan, Amy Zhang, Weinan Zhang p98806-98834 from Advances in Neural Information Processing Systems 37
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  • Diffusion-Inspired Truncated Sampler for Text-Video Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Inspired Truncated Sampler for Text-Video Retrieval

    Sohail Dianat, Qiang Guan, Dongfang Liu, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao, Jiamian Wang, Pichao Wang p3882-3906 from Advances in Neural Information Processing Systems 37
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  • Diffusion-LM Improves Controllable Text Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-LM Improves Controllable Text Generation

    Ishaan Gulrajani, Tatsunori Hashimoto, Xiang Li, Percy Liang, John Thickstun p4328-4343 from Advances in Neural Information Processing Systems 35
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  • Diffusion-Reward Adversarial Imitation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Reward Adversarial Imitation Learning

    Min-Hung Chen, Ping-Chun Hsieh, Chun-Mao Lai, Shao-Hua Sun, Hsiang-Chun Wang, Yu-Chiang Wang p95456-95487 from Advances in Neural Information Processing Systems 37
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  • Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection

    Cheng-Ju Ho, Yen-Yu Lin, Chen-Hsuan Tai, Yi-Hsuan Tsai, Ming-Hsuan Yang p49100-49112 from Advances in Neural Information Processing Systems 36
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  • Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback

    Katerina Fragkiadaki, Tsung-Wei Ke, Alex Li, Deepak Pathak, Mihir Prabhudesai p17567-17583 from Advances in Neural Information Processing Systems 36
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