Paper

  • Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

    Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu p25390-25408 from Advances in Neural Information Processing Systems 36
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  • Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping

    Tianhao Wu, Mingdong Wu, Jiyao Zhang, Yunchong Gan, Hao Dong p22132-22150 from Advances in Neural Information Processing Systems 36
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  • Learning Segmentation from Point Trajectories

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Segmentation from Point Trajectories

    Laurynas Karazija, Iro Laina, Christian Rupprecht, Andrea Vedaldi p112573-112597 from Advances in Neural Information Processing Systems 37
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  • Learning Shared Safety Constraints from Multi-task Demonstrations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Shared Safety Constraints from Multi-task Demonstrations

    Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Steven Wu p5808-5826 from Advances in Neural Information Processing Systems 36
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  • Learning Single-Index Models with Shallow Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Single-Index Models with Shallow Neural Networks

    Alberto Bietti, Joan Bruna, Clayton Sanford, Min Jae Song p9768-9783 from Advances in Neural Information Processing Systems 35
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  • Learning Social Welfare Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Social Welfare Functions

    Kanad Pardeshi, Itai Shapira, Ariel Procaccia, Aarti Singh p41733-41766 from Advances in Neural Information Processing Systems 37
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  • Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States

    Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki p26372-26395 from Advances in Neural Information Processing Systems 36
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  • Learning Sparse Features Can Lead to Overfitting in Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Sparse Features Can Lead to Overfitting in Neural Networks

    Leonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden, Matthieu Wyart p9403-9416 from Advances in Neural Information Processing Systems 35
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  • Learning Spatially-Aware Language and Audio Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Spatially-Aware Language and Audio Embeddings

    Bhavika Devnani, Skyler Seto, Zakaria Aldeneh, Alessandro Toso, Elena Menyaylenko, Barry-John Theobald, Jonathan Sheaffer, Miguel Sarabia p33505-33537 from Advances in Neural Information Processing Systems 37
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  • Learning State-Aware Visual Representations from Audible Interactions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning State-Aware Visual Representations from Audible Interactions

    Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta p23765-23779 from Advances in Neural Information Processing Systems 35
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  • Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking

    Shuchen Wu, Noemi Elteto, Ishita Dasgupta, Eric Schulz p36706-36721 from Advances in Neural Information Processing Systems 35
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  • Learning Structure-Aware Representations of Dependent Types

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Structure-Aware Representations of Dependent Types

    Konstantinos Kogkalidis, Orestis Melkonian, Jean-Philippe Bernardy p65095-65118 from Advances in Neural Information Processing Systems 37
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