Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Transductive Learning is Compact

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transductive Learning is Compact

    Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng p130511-130535 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transfer learning for atomistic simulations using GNNs and kernel mean embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transfer learning for atomistic simulations using GNNs and kernel mean embeddings

    Luigi Bonati, John Falk, Pietro Novelli, Michele Parrinello, Massimiliano Pontil p29783-29797 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Transfer Learning for Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transfer Learning for Diffusion Models

    Guang Cheng, Yidong Ouyang, Liyan Xie, Hongyuan Zha p136962-136989 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transfer Learning for Latent Variable Network Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transfer Learning for Latent Variable Network Models

    Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar p78797-78835 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation

    Ioana Bica, Mihaela Van Der Schaar p37184-37198 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Transfer Learning with Affine Model Transformation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transfer Learning with Affine Model Transformation

    Kenji Fukumizu, Yoshihiro Hayashi, Shunya Minami, Ryo Yoshida p17296-17329 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Transfer Q-star : Principled Decoding for LLM Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transfer Q-star : Principled Decoding for LLM Alignment

    Amrit Singh Bedi, Souradip Chakraborty, Soumya Suvra Ghosal, Furong Huang, Dinesh Manocha, Mengdi Wang, Ming Yin p101725-101761 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness

    Cen Chen, Mingyuan Fan, Xiaodan Li, Yaliang Li, Wenmeng Zhou p41882-41908 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transferable Adversarial Attacks on SAM and Its Downstream Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transferable Adversarial Attacks on SAM and Its Downstream Models

    Henghui Ding, Lingyu Duan, Xudong Jiang, Xun Lin, Song Xia, Wenhan Yang, Yi Yu p87545-87568 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings

    Maksym Andriushchenko, Nicolas Flammarion, Klim Kireev, Carmela Troncoso p10741-10757 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Transferable Boltzmann Generators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transferable Boltzmann Generators

    Leon Klein, Frank Noé p45281-45314 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transferring disentangled representations: bridging the gap between synthetic and real images

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transferring disentangled representations: bridging the gap between synthetic and real images

    Jacopo Dapueto, Nicoletta Noceti, Francesca Odone p21912-21948 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transferring Fairness Under Distribution Shifts Via Fair Consistency Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transferring Fairness Under Distribution Shifts Via Fair Consistency Regularization

    Bang An, Zora Che, Mucong Ding, Furong Huang p32582-32597 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Transferring Pre-Trained Multimodal Representations with Cross-Modal Similarity Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transferring Pre-Trained Multimodal Representations with Cross-Modal Similarity Matching

    Sungik Choi, Dasol Hwang, Byoungjip Kim, Honglak Lee, Moontae Lee p30826-30839 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Transform Once: Efficient Operator Learning in Frequency Domain

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transform Once: Efficient Operator Learning in Frequency Domain

    Federico Berto, Tri Dao, Stefano Ermon, Stefano Massaroli, Jinkyoo Park, Michael Poli, Christopher Ré p7947-7959 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization

    Emmanuel Abbe, Omar Montasser, Han Shao p108649-108673 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks

    Mingyuan Bai, Zhong Jin, Chao Li, Andong Wang, Qibin Zhao, Guoxu Zhou p3032-3082 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity

    Meeyoung Cha, Dong Kyum Kim, Jea Kwon, C. Lee p14637-14664 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Transformer Doctor: Diagnosing and Treating Vision Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transformer Doctor: Diagnosing and Treating Vision Transformers

    Hao Chen, Kejia Chen, Zunlei Feng, Yang Gao, Jiacong Hu, Mingli Song, Xingen Wang, Jingwen Ye p54026-54053 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transformer Memory as a Differentiable Search Index

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transformer Memory as a Differentiable Search Index

    Dara Bahri, William Cohen, Mostafa Dehghani, Jai Gupta, Kai Hui, Harsh Mehta, Donald Metzler, Jianmo Ni, Zhen Qin, Tal Schuster, Yi Tay, Vinh Tran, Zhe Zhao p21831-21843 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Transformer-based Planning for Symbolic Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transformer-based Planning for Symbolic Regression

    Amir Barati Farimani, Kazem Meidani, Chandan Reddy, Parshin Shojaee p45907-45919 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Transformer-Based Working Memory for Multiagent Reinforcement Learning with Action Parsing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transformer-Based Working Memory for Multiagent Reinforcement Learning with Action Parsing

    Guangyong Chen, Jianye Hao, Xiaotian Hao, Pheng-Ann Heng, Weixun Wang, Yaodong Yang p34874-34886 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Transformers are Minimax Optimal Nonparametric In-Context Learners

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transformers are Minimax Optimal Nonparametric In-Context Learners

    Juno Kim, Tai Nakamaki, Taiji Suzuki p106667-106713 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars

    Yuchen Li, Bingbin Liu, Andrej Risteski, Kaiyue Wen p38723-38766 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00