Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • DMesh: A Differentiable Mesh Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMesh: A Differentiable Mesh Representation

    Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming Lin, Yi Zhou p12035-12077 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection

    Shihao Tu, Linfeng Cao, Daoze Zhang, Junru Chen, Lvbin Ma, Yin Zhang, Yang Yang p28254-28280 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform

    Peizhi Niu, Yu-Hsiang Wang, Vishal Rana, Chetan Rupakheti, Abhishek Pandey, Olgica Milenkovic p174794-174828 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

    Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun p117881-117916 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • DMWM: Dual-Mind World Model with Long-Term Imagination

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DMWM: Dual-Mind World Model with Long-Term Imagination

    Lingyi Wang, Rashed Shelim, Walid Saad, Naren Ramakrishnan p5613-5647 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering

    Jiahao Lu, Jiacheng Deng, Ruijie Zhu, Yanzhe Liang, Wenfei Yang, Tianzhu Zhang, Xu Zhou p84114-84138 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm

    Xiaowei Zhu, Yubing Ren, Fang Fang, Qingfeng Tan, Shi Wang, Yanan Cao p2022-2045 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • DNA: Proximal Policy Optimization with a Dual Network Architecture

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DNA: Proximal Policy Optimization with a Dual Network Architecture

    Matthew Aitchison, Penny Sweetser p35921-35932 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing

    Chenxi Xie, Minghan Li, Shuai Li, Yuhui Wu, Qiaosi Yi, Lei Zhang p137937-137955 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation

    Sanjana Ramprasad, Byron Wallace p145976-146001 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • Do causal predictors generalize better to new domains?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do causal predictors generalize better to new domains?

    Vivian Nastl, Moritz Hardt p31202-31315 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study

    Sangwon Jung, Sumin Yu, Sanghyuk Chun, Taesup Moon p56041-56053 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

    Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat p13597-13609 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Do different prompting methods yield a common task representation in language models?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do different prompting methods yield a common task representation in language models?

    Guy Davidson, Todd Gureckis, Brenden Lake, Adina Williams p78872-78912 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • Do Finetti: On Causal Effects for Exchangeable Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Finetti: On Causal Effects for Exchangeable Data

    Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszár, Bernhard Schölkopf p127317-127345 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Do Language Models Use Their Depth Efficiently?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Language Models Use Their Depth Efficiently?

    Róbert Csordás, Christopher D Manning, Chris Potts p177941-177990 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • Do LLMs Build World Representations? Probing Through the Lens of State Abstraction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do LLMs Build World Representations? Probing Through the Lens of State Abstraction

    Zichao Li, Yanshuai Cao, Jackie Cheung p98009-98032 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

    Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam p67712-67757 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness

    Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li p103273-103311 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns

    Menghao Zhang, Huazheng Wang, Pengfei Ren, Kangheng Lin, Qi Qi, Haifeng Sun, Zirui Zhuang, Lei Zhang, Jianxin Liao, Jingyu Wang p118157-118184 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study

    ‪Yotam Alexander‬‏, Yonatan Slutzky, Yuval Ran-Milo, Nadav Cohen p159519-159585 from Advances in Neural Information Processing Systems 38
    Our Price: $0.00
  • Do Not Marginalize Mechanisms, Rather Consolidate!

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Not Marginalize Mechanisms, Rather Consolidate!

    Moritz Willig, Matej Zecevic, Devendra Dhami, Kristian Kersting p60947-60965 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Do Residual Neural Networks Discretize Neural Ordinary Differential Equations?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do Residual Neural Networks Discretize Neural Ordinary Differential Equations?

    Michael Sander, Pierre Ablin, Gabriel Peyré p36520-36532 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning

    Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo p42775-42798 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00