Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?

    Zhezhen Cao, Yinlin Deng, Meiziniu Li, Chunqiu Xia, Lingming Zhang p54205-54238 from Advances in Neural Information Processing Systems 37
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  • Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study

    Matthew Blaschko, Guohao Dai, Tianyu Fu, Shiyao Li, Zinan Lin, Xuefei Ning, Yu Wang, Zifu Wang, Huazhong Yang, Peiran Yao p71188-71239 from Advances in Neural Information Processing Systems 37
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  • Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation

    Nitesh Chawla, Kehan Guo, Taicheng Guo, Zhichun Guo, Zhenwen Liang, Bozhao Nan, Mihir Surve, Olaf Wiest, Xiangliang Zhang, Yujun Zhou p134721-134746 from Advances in Neural Information Processing Systems 37
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  • Can Models Learn Skill Composition from Examples?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Models Learn Skill Composition from Examples?

    Sanjeev Arora, Anirudh Goyal, Simran Kaur, Dingli Yu, Haoyu Zhao p102393-102427 from Advances in Neural Information Processing Systems 37
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  • Can neural operators always be continuously discretized?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can neural operators always be continuously discretized?

    Maarten de Hoop, Takashi Furuya, Matti Lassas, Michael Puthawala p98936-98993 from Advances in Neural Information Processing Systems 37
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  • Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

    Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu p38297-38310 from Advances in Neural Information Processing Systems 36
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  • Can Push-Forward Generative Models Fit Multimodal Distributions?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Push-Forward Generative Models Fit Multimodal Distributions?

    Valentin De Bortoli, Julie Delon, Agnes Desolneux, Antoine Salmona p10766-10779 from Advances in Neural Information Processing Systems 35
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  • Can semi-supervised learning use all the data effectively? A lower bound perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can semi-supervised learning use all the data effectively? A lower bound perspective

    Amartya Sanyal, Alexandru Tifrea, Fanny Yang, Gizem YĂĽce p21960-21982 from Advances in Neural Information Processing Systems 36
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  • Can Simple Averaging Defeat Modern Watermarks?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Simple Averaging Defeat Modern Watermarks?

    Hai Ci, Mike Zheng Shou, Yiren Song, Pei Yang p56644-56673 from Advances in Neural Information Processing Systems 37
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  • Can Transformers Smell Like Humans?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can Transformers Smell Like Humans?

    Mårten Björkman, Danica Kragic, Antônio Ribeiro, Farzaneh Taleb, Miguel Vasco p72032-72060 from Advances in Neural Information Processing Systems 37
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  • Can We Leave Deepfake Data Behind in Training Deepfake Detector?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can We Leave Deepfake Data Behind in Training Deepfake Detector?

    Jikang Cheng, Chen Li, Yuhao Luo, Zhongyuan Wang, Zhiyuan Yan, Ying Zhang p21979-21998 from Advances in Neural Information Processing Systems 37
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  • Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data

    Fergus Imrie, Nabeel Seedat, Boris Van Breugel, Mihaela Van Der Schaar p1889-1904 from Advances in Neural Information Processing Systems 36
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  • Canonical normalizing flows for manifold learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Canonical normalizing flows for manifold learning

    Kyriakos Flouris, Ender Konukoglu p27294-27314 from Advances in Neural Information Processing Systems 36
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  • CAP:  Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models

    Dan Alistarh, Elias Frantar, Eldar Kurtic, Denis Kuznedelev p28805-28831 from Advances in Neural Information Processing Systems 36
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  • CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation

    Jinfei Liu, Jian Lou, Kui Ren, Zhibo Wang, Long Wen, Feng Xue, Pengyun Zhu p46773-46785 from Advances in Neural Information Processing Systems 36
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  • Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer

    Jindong Chen, Zhiting Hu, Lijuan Liu, Bowen Tan, Eric Xing, Yun Zhu p58875-58889 from Advances in Neural Information Processing Systems 36
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  • CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes

    Xingyu Chen, Chaoyou Fu, Yun Gu, Rongrong Ji, Ke Li, Yulei Qin, Yunhang Shen, Xing Sun p53565-53592 from Advances in Neural Information Processing Systems 36
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  • CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities

    Shivvrat Arya, Bharath Challa, Vibhav Gogate, Bhavya Gouripeddi, Vasundhara Komaragiri, Likhitha Pallapothula, Rohith Peddi, Eric Ragan, Nicholas Ruozzi, Akshay Vyas, Jikai Wang, Yu Xiang, Qifan Zhang p135626-135679 from Advances in Neural Information Processing Systems 37
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  • Capturing Failures of Large Language Models Via Human Cognitive Biases

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Capturing Failures of Large Language Models Via Human Cognitive Biases

    Erik Jones, Jacob Steinhardt p11785-11799 from Advances in Neural Information Processing Systems 35
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  • Capturing Graphs with Hypo-Elliptic Diffusions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Capturing Graphs with Hypo-Elliptic Diffusions

    Celia Hacker, Darrick Lee, Harald Oberhauser, Csaba Toth p38803-38817 from Advances in Neural Information Processing Systems 35
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  • Capturing the denoising effect of PCA via compression ratio

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Capturing the denoising effect of PCA via compression ratio

    Nikhil Deorkar, Chandra Sekhar Mukherjee, Jiapeng Zhang p26136-26170 from Advances in Neural Information Processing Systems 37
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  • CARD: Classification and Regression Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CARD: Classification and Regression Diffusion Models

    Xizewen Han, Huangjie Zheng, Mingyuan Zhou p18100-18115 from Advances in Neural Information Processing Systems 35
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  • Cardinality-Aware Set Prediction and Top-$k$ Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cardinality-Aware Set Prediction and Top-$k$ Classification

    Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong p18265-18309 from Advances in Neural Information Processing Systems 37
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  • CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care

    Mingbai Bai, Noa Garcia, Liangzhi Li, Wangyue Li, Bowen Wang, Lu Wei, Tong Xiang p42358-42381 from Advances in Neural Information Processing Systems 36
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