Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion

    Yash Bhalgat, Iro Laina, João Henriques, Andrea Vedaldi, Andrew Zisserman p9092-9116 from Advances in Neural Information Processing Systems 36
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  • Contrastive losses as generalized models of global epistasis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive losses as generalized models of global epistasis

    David Brookes, Jakub Otwinowski, Sam Sinai p93374-93405 from Advances in Neural Information Processing Systems 37
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  • Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning

    Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen p36507-36523 from Advances in Neural Information Processing Systems 36
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  • Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time

    Xinyuan Cao, Santosh Vempala p72540-72582 from Advances in Neural Information Processing Systems 36
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  • Contrastive Neural Ratio Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Neural Ratio Estimation

    Benjamin K Miller, Christoph Weniger, Patrick Forré p3262-3278 from Advances in Neural Information Processing Systems 35
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  • Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL

    Chen Sun, Wannan Yang, Thomas Jiralerspong, Dane Malenfant, Benjamin Alsbury-Nealy, Yoshua Bengio, Blake Richards p31117-31139 from Advances in Neural Information Processing Systems 36
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  • Contrastive Sampling Chains in Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Sampling Chains in Diffusion Models

    Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu p73524-73542 from Advances in Neural Information Processing Systems 36
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  • Contrastive Training of Complex-Valued Autoencoders for Object Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive Training of Complex-Valued Autoencoders for Object Discovery

    Aleksandar Stanic, Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber p11075-11101 from Advances in Neural Information Processing Systems 36
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  • Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT

    Thomas Yerxa, Jenelle Feather, Eero Simoncelli, Sueyeon Chung p96045-96070 from Advances in Neural Information Processing Systems 37
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  • Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields

    Keqiang Sun, Shangzhe Wu, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li p16331-16343 from Advances in Neural Information Processing Systems 35
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  • Controllable Text Generation with Neurally-Decomposed Oracle

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controllable Text Generation with Neurally-Decomposed Oracle

    Tao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang p28125-28139 from Advances in Neural Information Processing Systems 35
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  • Controlled maximal variability along with reliable performance in recurrent neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controlled maximal variability along with reliable performance in recurrent neural networks

    Chiara Mastrogiuseppe, Rubén Moreno-Bote p24569-24600 from Advances in Neural Information Processing Systems 37
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  • Controlled Sparsity Via Constrained Optimization Or: How I Learned to Stop Tuning Penalties and Love Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controlled Sparsity Via Constrained Optimization Or: How I Learned to Stop Tuning Penalties and Love Constraints

    Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien p1253-1266 from Advances in Neural Information Processing Systems 35
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  • Controlling Continuous Relaxation for Combinatorial Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controlling Continuous Relaxation for Combinatorial Optimization

    Yuma Ichikawa p47189-47216 from Advances in Neural Information Processing Systems 37
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  • Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets

    Eleni Straitouri, Suhas Thejaswi, Manuel Rodriguez p129443-129479 from Advances in Neural Information Processing Systems 37
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  • Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound

    Reuben Adams, John Shawe-Taylor, Benjamin Guedj p5308-5337 from Advances in Neural Information Processing Systems 37
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  • Controlling Text-to-Image Diffusion by Orthogonal Finetuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Controlling Text-to-Image Diffusion by Orthogonal Finetuning

    Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf p79320-79362 from Advances in Neural Information Processing Systems 36
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  • ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models

    Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, Guannan Jiang, Xiaoshuai Sun, Rongrong Ji p45206-45234 from Advances in Neural Information Processing Systems 37
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  • ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence

    Wenjie Mei, Dongzhe Zheng, Shihua Li p99232-99261 from Advances in Neural Information Processing Systems 37
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  • ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models

    Shuo Liu, Kaining Ying, Hao Zhang, Yue Yang, Yuqi Lin, Tianle Zhang, Chuanhao Li, Yu Qiao, Ping Luo, Wenqi Shao, Kaipeng Zhang p100734-100782 from Advances in Neural Information Processing Systems 37
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  • Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels

    Jungbin Kim, Insoon Yang p63023-63035 from Advances in Neural Information Processing Systems 36
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  • Convergence Analysis of Sequential Federated Learning on Heterogeneous Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence Analysis of Sequential Federated Learning on Heterogeneous Data

    Yipeng Li, Xinchen Lyu p56700-56755 from Advances in Neural Information Processing Systems 36
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  • Convergence Analysis of Split Federated Learning on Heterogeneous Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence Analysis of Split Federated Learning on Heterogeneous Data

    Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu p103476-103544 from Advances in Neural Information Processing Systems 37
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  • Convergence Beyond the Over-Parameterized Regime Using Rayleigh Quotients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Convergence Beyond the Over-Parameterized Regime Using Rayleigh Quotients

    David A. R. Robin, Kevin Scaman, Marc Lelarge p10725-10736 from Advances in Neural Information Processing Systems 35
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