Paper

  • Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models

    Mengyuan Chen, Junyu Gao, Changsheng Xu p82560-82593 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs

    Irene Huang, Wei Lin, M. Mirza, Jacob Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogerio Feris, Leonid Karlinsky p22927-22946 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems

    Sihan Zeng, Thinh Doan, Justin Romberg p20146-20163 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Connecting Certified and Adversarial Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connecting Certified and Adversarial Training

    Yuhao Mao, Mark Müller, Marc Fischer, Martin Vechev p73422-73440 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning

    Shentong Mo, Shengbang Tong p2348-2377 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Connecting Multi-modal Contrastive Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connecting Multi-modal Contrastive Representations

    Zehan Wang, Yang Zhao, Xize Cheng, Haifeng Huang, Jiageng Liu, Aoxiong Yin, Li Tang, Linjun Li, Yongqi Wang, Ziang Zhang, Zhou Zhao p22099-22114 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Connecting Pre-trained Language Model and Downstream Task via Properties of Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connecting Pre-trained Language Model and Downstream Task via Properties of Representation

    Chenwei Wu, Holden Lee, Rong Ge p47216-47238 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data

    Johannes Treutlein, Dami Choi, Jan Betley, Sam Marks, Cem Anil, Roger Grosse, Owain Evans p140667-140730 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • CONNECTIONS TESTING AND RELIABILITY ASSESSMENT OF TIMBER CONNECTIONS WITH DOWEL-TYPE FASTENERS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    CONNECTIONS TESTING AND RELIABILITY ASSESSMENT OF TIMBER CONNECTIONS WITH DOWEL-TYPE FASTENERS

    Ezequiel Moreno-Zapata, B. Iraola, R. Quinteros-Mayne, I. De Arteaga, P. Tanner, C. Lara, J. M. Cabrero p2768-2775 from World Conference on Timber Engineering (WCTE 2023)
    Our Price: $0.00
  • CONNECTIONS WITH SMALL DIAMETER FASTENERS IN EUROPEAN HARDWOODS

    World Conference on Timber Engineering 2025

    CONNECTIONS WITH SMALL DIAMETER FASTENERS IN EUROPEAN HARDWOODS

    Carmen Sandhaas, Jan Kipper, Elisabet Kuck p3711-3717 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
    Our Price: $0.00
  • Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion

    Zhiwei Bai, Jiajie Zhao, Yaoyu Zhang p45914-45955 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters

    Dong Zhao, Qi Zang, Shuang Wang, Nicu Sebe, Zhun Zhong p78936-78963 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00