Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Self-Supervised Learning Through Efference Copies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Learning Through Efference Copies

    Qinghai Guo, Timoleon Moraitis, Franz Scherr p4543-4557 from Advances in Neural Information Processing Systems 35
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  • Self-Supervised Learning Via Maximum Entropy Coding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Learning Via Maximum Entropy Coding

    Ya-Li Li, Xin Liu, Shengjin Wang, Zhongdao Wang p34091-34105 from Advances in Neural Information Processing Systems 35
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  • Self-Supervised Learning with an Information Maximization Criterion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Learning with an Information Maximization Criterion

    Sercan Arik, Alper Erdogan, Shadi Hamdan, Serdar Ozsoy, Deniz Yuret p35240-35253 from Advances in Neural Information Processing Systems 35
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  • Self-Supervised Learning with Lie Symmetries for Partial Differential Equations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Learning with Lie Symmetries for Partial Differential Equations

    Quentin Garrido, Bobak Kiani, Hannah Lawrence, Yann Lecun, Grégoire Mialon, Danyal Rehman p28973-29004 from Advances in Neural Information Processing Systems 36
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  • Self-Supervised Motion Magnification by Backpropagating Through Optical Flow

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Motion Magnification by Backpropagating Through Optical Flow

    Daniel Geng, Andrew Owens, Zhaoying Pan p253-273 from Advances in Neural Information Processing Systems 36
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  • Self-supervised Object-Centric Learning for Videos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-supervised Object-Centric Learning for Videos

    Görkay Aydemir, Fatma Guney, Weidi Xie p32879-32899 from Advances in Neural Information Processing Systems 36
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  • Self-Supervised Pretraining for Large-Scale Point Clouds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Pretraining for Large-Scale Point Clouds

    Min Bai, Erran Li Li, Zaiwei Zhang p37806-37821 from Advances in Neural Information Processing Systems 35
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  • Self-Supervised Reinforcement Learning that Transfers using Random Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Reinforcement Learning that Transfers using Random Features

    Pulkit Agrawal, Boyuan Chen, Abhishek Gupta, Kaiqing Zhang, Chuning Zhu p56411-56436 from Advances in Neural Information Processing Systems 36
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  • Self-Supervised Surround-View Depth Estimation with Volumetric Feature Fusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Surround-View Depth Estimation with Volumetric Feature Fusion

    Junhwa Hur, Seong-Gyun Jeong, Jung-Hee Kim, Tien Phuoc Nguyen p4032-4045 from Advances in Neural Information Processing Systems 35
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  • Self-supervised Transformation Learning for Equivariant Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-supervised Transformation Learning for Equivariant Representations

    Jaehyun Choi, HyeongGwon Hong, Junmo Kim, Dong-Jae Lee, Jaemyung Yu p83068-83090 from Advances in Neural Information Processing Systems 37
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  • Self-supervised video pretraining yields robust and more human-aligned visual representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-supervised video pretraining yields robust and more human-aligned visual representations

    Joao Carreira, S. M. Ali Eslami, Olivier Henaff, Nikhil Parthasarathy p65743-65765 from Advances in Neural Information Processing Systems 36
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  • Self-Supervised Visual Acoustic Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Visual Acoustic Matching

    Changan Chen, Kristen Grauman, Arjun Somayazulu p24349-24367 from Advances in Neural Information Processing Systems 36
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  • Self-Supervised Visual Representation Learning with Semantic Grouping

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Supervised Visual Representation Learning with Semantic Grouping

    Xiaojuan Qi, Xin Wen, Xiangyu Zhang, Bingchen Zhao, Anlin Zheng p16423-16438 from Advances in Neural Information Processing Systems 35
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  • Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models

    Chen Chen, Pin-Yu Chen, Eng Chng, Yuchen Hu, Chengwei Qin, Chao-Han Yang, Chao Zhang p29566-29594 from Advances in Neural Information Processing Systems 37
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  • Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration

    Shuo Chen, Gang Niu, Yazhou Ren, Hengtao Shen, Xiaoshuang Shi, Jie Xu, Xiaofeng Zhu p1119-1131 from Advances in Neural Information Processing Systems 36
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  • SelfCodeAlign: Self-Alignment for Code Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SelfCodeAlign: Self-Alignment for Code Generation

    Federico Cassano, Harm de Vries, Yifeng Ding, Arjun Guha, Naman Jain, Jiawei Liu, Zachary Mueller, Leandro von Werra, Yuxiang Wei, Lingming Zhang p62787-62874 from Advances in Neural Information Processing Systems 37
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  • SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data

    Mohit Bansal, Jaemin Cho, Jialu Li, Yi-Lin Sung, Jaehong Yoon p38530-38558 from Advances in Neural Information Processing Systems 37
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  • Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space

    Risto Miikkulainen, Xin Qiu p134507-134533 from Advances in Neural Information Processing Systems 37
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  • Semantic Diffusion Network for Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Semantic Diffusion Network for Semantic Segmentation

    Jimin Pi, Haoru Tan, Sitong Wu p8702-8716 from Advances in Neural Information Processing Systems 35
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  • Semantic Exploration from Language Abstractions and Pretrained Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Semantic Exploration from Language Abstractions and Pretrained Representations

    Andrea Banino, Stephanie Chan, Felix Hill, Andrew Lampinen, Neil Rabinowitz, Nicholas Roy, Dj Strouse, Allison Tam, Jane Wang p25377-25389 from Advances in Neural Information Processing Systems 35
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  • Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval

    Xinyu Du, Lixu Wang, Qi Zhu p79516-79539 from Advances in Neural Information Processing Systems 37
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  • Semantic HELM: A Human-Readable Memory for Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Semantic HELM: A Human-Readable Memory for Reinforcement Learning

    Thomas Adler, Sepp Hochreiter, Markus Hofmarcher, Fabian Paischer p9837-9865 from Advances in Neural Information Processing Systems 36
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  • Semantic Image Synthesis with Unconditional Generator

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Semantic Image Synthesis with Unconditional Generator

    Jungwoo Chae, Hyunin Cho, Kyungmook Choi, Sooyeon Go, Youngjung Uh p32999-33011 from Advances in Neural Information Processing Systems 36
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  • Semantic Probabilistic Layers for Neuro-Symbolic Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Semantic Probabilistic Layers for Neuro-Symbolic Learning

    Kareem Ahmed, Kai-Wei Chang, Stefano Teso, Guy Van Den Broeck, Antonio Vergari p29944-29959 from Advances in Neural Information Processing Systems 35
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