Paper

  • Normalizing Flows for Knockoff-Free Controlled Feature Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Normalizing Flows for Knockoff-Free Controlled Feature Selection

    Derek Hansen, Brian Manzo, Jeffrey Regier p16125-16137 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Not All Bits Have Equal Value: Heterogeneous Precisions Via Trainable Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Bits Have Equal Value: Heterogeneous Precisions Via Trainable Noise

    Yanjing Li, Michael Maire, Pedro Savarese, Xin Yuan p35769-35782 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features

    Xiaochun Cao, Qingming Huang, Benyuan Meng, Zitai Wang, Qianqian Xu p55141-55177 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts

    Emanuele Marconato, Andrea Passerini, Stefano Teso, Antonio Vergari p72507-72539 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning

    Xin Song, Yi Xu, Yang Yang, Yuxuan Zhang p13802-13818 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Not All Tokens Are What You Need for Pretraining

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not All Tokens Are What You Need for Pretraining

    Weizhu Chen, Nan Duan, Yeyun Gong, Zhibin Gou, Jian Jiao, Chen Lin, Zhenghao Lin, Xiao Liu, Yelong Shen, Ruochen Xu, Yujiu Yang p29029-29063 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Not Just Object, But State: Compositional Incremental Learning without Forgetting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not Just Object, But State: Compositional Incremental Learning without Forgetting

    Ran He, Qi Jia, Yu Liu, Binglin Qiu, Yanyi Zhang p123182-123206 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Not so griddy: Internal representations of RNNs path integrating more than one agent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not so griddy: Internal representations of RNNs path integrating more than one agent

    Francisco Acosta, Santiago Acosta-Mendoza, Nina Miolane, William Redman p22657-22689 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Not Too Little, Not Too Much: A Theoretical Analysis of Graph (over)smoothing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Not Too Little, Not Too Much: A Theoretical Analysis of Graph (over)smoothing

    Nicolas Keriven p2268-2281 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • NOTE: Robust Continual Test-Time Adaptation Against Temporal Correlation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    NOTE: Robust Continual Test-Time Adaptation Against Temporal Correlation

    Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Sung-Ju Lee, Jinwoo Shin p27253-27266 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Novel Object Synthesis via Adaptive Text-Image Harmony

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Novel Object Synthesis via Adaptive Text-Image Harmony

    Shuo Chen, Zikun Chen, Jun Li, Xiang Li, Gan Sun, Zeren Xiong, Jian Yang, Zedong Zhang p139085-139113 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • NOVEL TIMBER-CONCRETE COMPOSITE SLABS USING BEECH DOWELS AS CONNECTION ELEMENTS

    World Conference on Timber Engineering 2025

    NOVEL TIMBER-CONCRETE COMPOSITE SLABS USING BEECH DOWELS AS CONNECTION ELEMENTS

    Michael Mikoschek-Muggendorfer, François Colling p1361-1370 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
    Our Price: $0.00