Paper

  • Eliminating Domain Bias for Federated Learning in Representation Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Eliminating Domain Bias for Federated Learning in Representation Space

    Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan p14204-14227 from Advances in Neural Information Processing Systems 36
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  • Elliptical Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Elliptical Attention

    Stefan Nielsen, Laziz Abdullaev, Rachel Teo, Tan Nguyen p109748-109789 from Advances in Neural Information Processing Systems 37
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  • Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

    Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee p106135-106161 from Advances in Neural Information Processing Systems 37
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  • Elucidating the Design Space of Dataset Condensation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Elucidating the Design Space of Dataset Condensation

    Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen p99161-99201 from Advances in Neural Information Processing Systems 37
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  • Elucidating the Design Space of Diffusion-Based Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Elucidating the Design Space of Diffusion-Based Generative Models

    Tero Karras, Miika Aittala, Timo Aila, Samuli Laine p26565-26577 from Advances in Neural Information Processing Systems 35
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  • EM Distillation for One-step Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    EM Distillation for One-step Diffusion Models

    Sirui Xie, Zhisheng Xiao, Diederik Kingma, Tingbo Hou, Ying Wu, Kevin Murphy, Tim Salimans, Ben Poole, Ruiqi Gao p45073-45104 from Advances in Neural Information Processing Systems 37
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  • Embed and Emulate: Learning to Estimate Parameters of Dynamical Systems with Uncertainty Quantification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Embed and Emulate: Learning to Estimate Parameters of Dynamical Systems with Uncertainty Quantification

    Ruoxi Jiang, Rebecca Willett p11918-11933 from Advances in Neural Information Processing Systems 35
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  • Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors

    Dmitrii Avdiukhin, Vaggos Chatziafratis, Orr Fischer, Grigory Yaroslavtsev p41359-41393 from Advances in Neural Information Processing Systems 37
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  • Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples

    Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis p61923-61935 from Advances in Neural Information Processing Systems 36
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  • Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning

    Yiming Wang, Pei Zhang, Baosong Yang, Derek Wong, Zhuosheng Zhang, Rui Wang p42965-42999 from Advances in Neural Information Processing Systems 37
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  • Embedding-Aligned Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Embedding-Aligned Language Models

    Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier p15893-15946 from Advances in Neural Information Processing Systems 37
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  • EMBEDMENT STRENGTH AND STIFFNESS FOR LARGE DIAMETER MECHANICAL FASTENER

    World Conference on Timber Engineering 2023 (WCTE 2023)

    EMBEDMENT STRENGTH AND STIFFNESS FOR LARGE DIAMETER MECHANICAL FASTENER

    Krunoslav Pavkovic, Dean Cizmar, Mislav Stepinac, Nina Pospiš p2834-2840 from World Conference on Timber Engineering (WCTE 2023)
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