Paper

  • Pushing the Limits of Fairness Impossibility: Who's the Fairest of Them All?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pushing the Limits of Fairness Impossibility: Who's the Fairest of Them All?

    Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu p32749-32761 from Advances in Neural Information Processing Systems 35
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  • PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition

    George Tsoukalas, Jasper Lee, John Jennings, Jimmy Xin, Michelle Ding, Michael Jennings, Amitayush Thakur, Swarat Chaudhuri p11545-11569 from Advances in Neural Information Processing Systems 37
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  • Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning

    Hadi Hosseini, Sanjukta Roy, Duohan Zhang p69043-69068 from Advances in Neural Information Processing Systems 37
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  • Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving

    Sepidehsadat (Sepid) Hossieni, Mohammad Amin Shabani, Saghar Irandoust, Yasutaka Furukawa p9574-9597 from Advances in Neural Information Processing Systems 36
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  • PUZZLES: A Benchmark for Neural Algorithmic Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PUZZLES: A Benchmark for Neural Algorithmic Reasoning

    Benjamin Estermann, Luca Lanzendörfer, Yannick Niedermayr, Roger Wattenhofer p127059-127098 from Advances in Neural Information Processing Systems 37
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  • PV Potential of the Public Building Stock of the Basque Country

    ECOS 2023

    PV Potential of the Public Building Stock of the Basque Country

    Mikel Garro, Ana Picallo-Perez, Pablo Hernandez-Cruz, Juanmaria Hidalgo-Betanzos, Josemaria Sala-Lizarraga, Imanol Ruiz De Vergara-Ruiz De Azua p1701-1712 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression

    Vladimir Malinovskii, Denis Mazur, Ivan Ilin, Denis Kuznedelev, Konstantin Burlachenko, Kai Yi, Dan Alistarh, Peter Richtarik p5074-5121 from Advances in Neural Information Processing Systems 37
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  • PyKT: A Python Library to Benchmark Deep Learning Based Knowledge Tracing Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PyKT: A Python Library to Benchmark Deep Learning Based Knowledge Tracing Models

    Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Jiliang Tang, Weiqi Luo p18542-18555 from Advances in Neural Information Processing Systems 35
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  • PyNeRF: Pyramidal Neural Radiance Fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PyNeRF: Pyramidal Neural Radiance Fields

    Haithem Turki, Michael Zollhöfer, Christian Richardt, Deva Ramanan p37670-37681 from Advances in Neural Information Processing Systems 36
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  • Pyramid Attention for Source Code Summarization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pyramid Attention for Source Code Summarization

    Lei Chai, Ming Li p20421-20433 from Advances in Neural Information Processing Systems 35
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  • PyramidCLIP: Hierarchical Feature Alignment for Vision-Language Model Pretraining

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PyramidCLIP: Hierarchical Feature Alignment for Vision-Language Model Pretraining

    Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen p35959-35970 from Advances in Neural Information Processing Systems 35
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  • Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case

    Clément Chadebec, Louis Vincent, Stephanie Allassonniere p21575-21589 from Advances in Neural Information Processing Systems 35
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