Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • ToolQA: A Dataset for LLM Question Answering with External Tools

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ToolQA: A Dataset for LLM Question Answering with External Tools

    Haotian Sun, Kuan Wang, Yue Yu, Chao Zhang, Yuchen Zhuang p50117-50143 from Advances in Neural Information Processing Systems 36
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  • Tools for Verifying Neural Models' Training Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Tools for Verifying Neural Models' Training Data

    Dami Choi, David Duvenaud, Yonadav Shavit p1154-1188 from Advances in Neural Information Processing Systems 36
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  • Top Two Algorithms Revisited

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Top Two Algorithms Revisited

    Dorian Baudry, Rémy Degenne, Rianne De Heide, Marc Jourdan, Emilie Kaufmann p26791-26803 from Advances in Neural Information Processing Systems 35
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  • Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification

    Yixuan Cao, Qiang Ding, Ping Luo p35497-35521 from Advances in Neural Information Processing Systems 36
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  • TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment

    Hehe Fan, Mohan Kankanhalli, Wei Li, Yongkang Wong, Yi Yang p5697-5738 from Advances in Neural Information Processing Systems 37
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  • Topic-Conversation Relevance (TCR) Dataset and Benchmarks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Topic-Conversation Relevance (TCR) Dataset and Benchmarks

    Ross Cutler, Yaran Fan, Senja Filipi, Jamie Pool p140159-140174 from Advances in Neural Information Processing Systems 37
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  • TopoFR: A Closer Look at Topology Alignment on Face Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TopoFR: A Closer Look at Topology Alignment on Face Recognition

    Jun Dan, Jiankang Deng, Siyuan Li, Yang Liu, Shan Luo, Baigui Sun, Haoyu Xie p37213-37240 from Advances in Neural Information Processing Systems 37
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  • TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes

    Feng Dai, Yanping Fu, Wenbin Liao, Xinyuan Liu, Yike Ma, Hang Xu, Yucheng Zhang p61658-61676 from Advances in Neural Information Processing Systems 37
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  • Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms

    Rayna Andreeva, Tolga Birdal, Benjamin Dupuis, Rik Sarkar, Umut Şimşekli p4765-4818 from Advances in Neural Information Processing Systems 37
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  • Topological obstruction to the training of shallow ReLU neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Topological obstruction to the training of shallow ReLU neural networks

    Pierrick Leroy, Marco Nurisso, Francesco Vaccarino p35358-35387 from Advances in Neural Information Processing Systems 37
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  • Topological Obstructions and How to Avoid Them

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Topological Obstructions and How to Avoid Them

    Babak Esmaeili, Jan-Willem Van De Meent, Robin Walters, Heiko Zimmermann p8865-8884 from Advances in Neural Information Processing Systems 36
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  • Topological Parallax: A Geometric Specification for Deep Perception Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Topological Parallax: A Geometric Specification for Deep Perception Models

    Gabrielle Angeloro, Paul Bendich, Michael Catanzaro, Nirav Patel, Abraham Smith p28155-28172 from Advances in Neural Information Processing Systems 36
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  • Topological RANSAC for instance verification and retrieval without fine-tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Topological RANSAC for instance verification and retrieval without fine-tuning

    Guoyuan An, Inkyu An, Yuchi Huo, Ju-Hyeong Seon, Sung-Eui Yoon p63835-63846 from Advances in Neural Information Processing Systems 36
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  • Topology-Aware Uncertainty for Image Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Topology-Aware Uncertainty for Image Segmentation

    Chao Chen, Saumya Gupta, Xiaoling Hu, Prateek Prasanna, Yikai Zhang p8186-8207 from Advances in Neural Information Processing Systems 36
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  • TopoSRL: Topology preserving self-supervised Simplicial Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TopoSRL: Topology preserving self-supervised Simplicial Representation Learning

    Sundeep Prabhakar Chepuri, Hiren Madhu p64306-64317 from Advances in Neural Information Processing Systems 36
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  • TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models

    Yoojin Jang, Jisu Kim, Pum Jun Kim, Jaejun Yoo p7831-7866 from Advances in Neural Information Processing Systems 36
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  • TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning

    Qian Cao, Stefano Ermon, Tanuja Ganu, Ni Lao, Zeping Liu, Hongxu Ma, Gengchen Mai, Lan Mu, Akshay Nambi, Joshua Ni, Yanlin Qi, Zhangyu Wang, Nemin Wu, Xiaobai Yao, Jielu Zhang p81437-81460 from Advances in Neural Information Processing Systems 37
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  • Torsional Diffusion for Molecular Conformer Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Torsional Diffusion for Molecular Conformer Generation

    Regina Barzilay, Jeffrey Chang, Gabriele Corso, Tommi Jaakkola, Bowen Jing p24240-24253 from Advances in Neural Information Processing Systems 35
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  • TotalSelfScan: Learning Full-Body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    TotalSelfScan: Learning Full-Body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies

    Hujun Bao, Junting Dong, Qi Fang, Yudong Guo, Sida Peng, Qing Shuai, Xiaowei Zhou p13654-13667 from Advances in Neural Information Processing Systems 35
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  • Touch and Go: Learning from Human-Collected Vision and Touch

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Touch and Go: Learning from Human-Collected Vision and Touch

    Chenyang Ma, Andrew Owens, Fengyu Yang, Wenzhen Yuan, Jiacheng Zhang, Jing Zhu p8081-8103 from Advances in Neural Information Processing Systems 35
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  • Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

    Reza Azad, Fan Bai, Pedro Bassi, Michael Baumgartner, Matthew Blaschko, Afshin Bozorgpour, Andrea Cavalli, Hao Chen, Jieneng Chen, Ziyang Chen, Yu-Cheng Chou, Sergio Decherchi, Haoyu Dong, Yuxin Du, Hanxue Gu, Saumya Gupta, Junjun He, et al. p15184-15201 from Advances in Neural Information Processing Systems 37
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  • Toward a Realistic Model of Speech Processing in the Brain with Self-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Toward a Realistic Model of Speech Processing in the Brain with Self-Supervised Learning

    Yves Boubenec, Charlotte Caucheteux, Ewan Dunbar, Alexandre Gramfort, Jean-Remi King, Juliette Millet, Pierre Orhan, Christophe Pallier p33428-33443 from Advances in Neural Information Processing Systems 35
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  • Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models

    Xiaopeng Fan, Xingtao Wang, Hongliang Wei, Xianqi Zhang, Debin Zhao p111406-111431 from Advances in Neural Information Processing Systems 37
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  • Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning

    Changhee Lee, Dongjoon Lee, Hyeryn Park p30985-31014 from Advances in Neural Information Processing Systems 37
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