Paper

  • FIND: A Function Description Benchmark for Evaluating Interpretability Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FIND: A Function Description Benchmark for Evaluating Interpretability Methods

    Jacob Andreas, David Bau, Neil Chowdhury, Shuang Li, Joanna Materzynska, Sarah Schwettmann, Tamar Shaham, Antonio Torralba p75688-75715 from Advances in Neural Information Processing Systems 36
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  • Finding and Listing Front-Door Adjustment Sets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding and Listing Front-Door Adjustment Sets

    Elias Bareinboim, Hyunchai Jeong, Jin Tian p33173-33185 from Advances in Neural Information Processing Systems 35
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  • Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach

    Ziyi Chen, Shaocong Ma, Yi Zhou p25560-25572 from Advances in Neural Information Processing Systems 35
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  • Finding Counterfactually Optimal Action Sequences in Continuous State Spaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding Counterfactually Optimal Action Sequences in Continuous State Spaces

    Manuel Rodriguez, Stratis Tsirtsis p3220-3247 from Advances in Neural Information Processing Systems 36
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  • Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing

    Sarah Bargal, Nataniel Ruiz, Kate Saenko, Stan Sclaroff, Cihang Xie p14403-14418 from Advances in Neural Information Processing Systems 35
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  • Finding good policies in average-reward Markov Decision Processes without prior knowledge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding good policies in average-reward Markov Decision Processes without prior knowledge

    Rémy Degenne, Emilie Kaufmann, Adrienne Tuynman p109948-109979 from Advances in Neural Information Processing Systems 37
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  • Finding Local Minima Efficiently in Decentralized Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding Local Minima Efficiently in Decentralized Optimization

    Heng Huang, Wenhan Xian p62892-62921 from Advances in Neural Information Processing Systems 36
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  • Finding Naturally Occurring Physical Backdoors in Image Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding Naturally Occurring Physical Backdoors in Image Datasets

    Emilio Andere, Arjun Nitin Bhagoji, Roma Bhattacharjee, Josephine Passananti, Emily Wenger, Ben Zhao, Heather Zheng p22103-22116 from Advances in Neural Information Processing Systems 35
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  • Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models

    Franziska Boenisch, Adam Dziedzic, Dominik Hintersdorf, Kristian Kersting, Lukas Struppek p88236-88278 from Advances in Neural Information Processing Systems 37
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  • Finding Optimal Arms in Non-Stochastic Combinatorial Bandits with Semi-Bandit Feedback and Finite Budget

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding Optimal Arms in Non-Stochastic Combinatorial Bandits with Semi-Bandit Feedback and Finite Budget

    Viktor Bengs, Jasmin Brandt, Björn Haddenhorst, Eyke Hüllermeier p20621-20634 from Advances in Neural Information Processing Systems 35
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  • Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning

    Berken Utku Demirel, Christian Holz p30750-30783 from Advances in Neural Information Processing Systems 36
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  • Finding Our Way in the Wayfinding Study: How Laboratory Work Influences Randomized Controlled Trial

    Environmental Design Research Association (EDRA)

    Finding Our Way in the Wayfinding Study: How Laboratory Work Influences Randomized Controlled Trial

    Rebecca Davis, Margaret Calkins p20-26 from Strategies for Research in Healthcare Settings: Challenges and Opportunities
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