Paper

  • Generalizing Bayesian Optimization with Decision-Theoretic Entropies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generalizing Bayesian Optimization with Decision-Theoretic Entropies

    Willie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon 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

    Isaac Osafo Nkansah, Neil Gallagher, Ruchi Sandilya, Conor Liston, Logan Grosenick 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

    Haoran Li, Zhennan Jiang, Yuhui Chen, 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

    Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, 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, Haohong Lin, Bo Li, 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

    Yujia Zheng, Kun Zhang 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

    Wanghan Xu, Fenghua Ling, Wenlong Zhang, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai 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, Yixiong Zou, Ruixuan Li, Yuhua Li 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

    Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He 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

    Lili Wei, Congyan Lang, Ziyi Chen, Tao Wang, Yidong Li, Jun Liu 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

    Shashank Hegde, Sumeet Batra, K. R. Zentner, Gaurav Sukhatme p7541-7554 from Advances in Neural Information Processing Systems 36
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