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

    Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang 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, Yonadav Shavit, David Duvenaud 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

    Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne De Heide, 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

    Qiang Ding, Yixuan Cao, 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

    Wei Li, Hehe Fan, Yongkang Wong, Mohan Kankanhalli, 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

    Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler 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, Yang Liu, Jiankang Deng, Haoyu Xie, Siyuan Li, Baigui Sun, Shan Luo 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

    Yanping Fu, Wenbin Liao, Xinyuan Liu, Hang Xu, Yike Ma, Yucheng Zhang, Feng Dai 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, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Simsekli 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

    Marco Nurisso, Pierrick Leroy, 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, Robin Walters, Heiko Zimmermann, Jan-Willem Van De Meent 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

    Abraham Smith, Michael Catanzaro, Gabrielle Angeloro, Nirav Patel, Paul Bendich 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, Ju-Hyeong Seon, Inkyu An, Yuchi Huo, 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

    Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen 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

    Hiren Madhu, Sundeep Prabhakar Chepuri 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

    Pum Jun Kim, Yoojin Jang, Jisu 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

    Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai 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

    Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola 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

    Junting Dong, Qi Fang, Yudong Guo, Sida Peng, Qing Shuai, Xiaowei Zhou, Hujun Bao 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

    Fengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan, Andrew Owens 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?

    Pedro Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Saikat Roy, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, 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

    Juliette Millet, Charlotte Caucheteux, Pierre Orhan, Yves Boubenec, Alexandre Gramfort, Ewan Dunbar, Christophe Pallier, Jean-Remi King 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

    Hongliang Wei, Xingtao Wang, Xianqi Zhang, Xiaopeng Fan, 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

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