Paper

  • On the Relationship Between Variational Inference and Auto-Associative Memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Relationship Between Variational Inference and Auto-Associative Memory

    Louis Annabi, Alexandre Pitti, Mathias Quoy p37497-37509 from Advances in Neural Information Processing Systems 35
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  • On the Representation Collapse of Sparse Mixture of Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Representation Collapse of Sparse Mixture of Experts

    Zewen Chi, Li Dong, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei p34600-34613 from Advances in Neural Information Processing Systems 35
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  • On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses

    Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra p20566-20579 from Advances in Neural Information Processing Systems 35
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  • On the Robustness of Graph Neural Diffusion to Topology Perturbations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Robustness of Graph Neural Diffusion to Topology Perturbations

    Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay p6384-6396 from Advances in Neural Information Processing Systems 35
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  • On the Robustness of Mechanism Design under Total Variation Distance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Robustness of Mechanism Design under Total Variation Distance

    Anuran Makur, Marios Mertzanidis, Alexandros Psomas, Athina Terzoglou p1620-1629 from Advances in Neural Information Processing Systems 36
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  • On the Robustness of Removal-Based Feature Attributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Robustness of Removal-Based Feature Attributions

    Chris Lin, Ian Covert, Su-In Lee p79613-79666 from Advances in Neural Information Processing Systems 36
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  • On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models

    Aditya Bhaskara, Agastya Jha, Michael Kapralov, Naren Manoj, Davide Mazzali, Weronika Wrzos-Kaminska p112731-112776 from Advances in Neural Information Processing Systems 37
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  • On the Role of Attention Masks and LayerNorm in Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Role of Attention Masks and LayerNorm in Transformers

    Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie p14774-14809 from Advances in Neural Information Processing Systems 37
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  • On the Role of Entanglement and Statistics in Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Role of Entanglement and Statistics in Learning

    Srinivasan Arunachalam, Vojtech Havlicek, Louis Schatzki p55064-55076 from Advances in Neural Information Processing Systems 36
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  • On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games

    Awni Altabaa, Zhuoran Yang p6648-6710 from Advances in Neural Information Processing Systems 37
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  • On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences

    Alireza F. Pour, Hassan Ashtiani p80257-80269 from Advances in Neural Information Processing Systems 36
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  • On the Role of Overparameterization in Off-Policy Temporal Difference Learning with Linear Function Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Role of Overparameterization in Off-Policy Temporal Difference Learning with Linear Function Approximation

    Valentin Thomas p37228-37240 from Advances in Neural Information Processing Systems 35
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