Paper

  • Class-Conditional Conformal Prediction with Many Classes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Class-Conditional Conformal Prediction with Many Classes

    Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael Jordan, Ryan Tibshirani p64555-64576 from Advances in Neural Information Processing Systems 36
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  • Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization

    De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu p11104-11116 from Advances in Neural Information Processing Systems 35
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  • Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning

    Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang p25731-25747 from Advances in Neural Information Processing Systems 36
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  • Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification

    Yuankai Luo, Lei Shi, Xiao-Ming Wu p97650-97669 from Advances in Neural Information Processing Systems 37
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  • Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark

    Xiao-Yang Liu, Zeliang Zhang p67082-67102 from Advances in Neural Information Processing Systems 36
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  • Classification Diffusion Models: Revitalizing Density Ratio Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Classification Diffusion Models: Revitalizing Density Ratio Estimation

    Shahar Yadin, Noam Elata, Tomer Michaeli p9837-9863 from Advances in Neural Information Processing Systems 37
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  • Classification Done Right for Vision-Language Pre-Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Classification Done Right for Vision-Language Pre-Training

    Zilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan p96483-96504 from Advances in Neural Information Processing Systems 37
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  • Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach

    Urte Adomaityte, Gabriele Sicuro, Pierpaolo Vivo p43880-43893 from Advances in Neural Information Processing Systems 36
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  • Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift

    Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Lu Huang p81360-81388 from Advances in Neural Information Processing Systems 37
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  • Classifier-guided Gradient Modulation for Enhanced Multimodal Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Classifier-guided Gradient Modulation for Enhanced Multimodal Learning

    Zirun Guo, Tao Jin, Jingyuan Chen, Zhou Zhao p133328-133344 from Advances in Neural Information Processing Systems 37
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  • ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models

    Wei Pang, Masoumeh Shafieinejad, Lucy Liu, Stephanie Hazlewood, Xi He p83521-83547 from Advances in Neural Information Processing Systems 37
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  • CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses

    Jing Yao, Xiaoyuan Yi, Xing Xie p58868-58900 from Advances in Neural Information Processing Systems 37
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