Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value

Jaeyeon Kim, Asuman Ozdaglar, Chanwoo Park, Ernest Ryu p23389-23440 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Time-uniform confidence bands for the CDF under nonstationarity

Steven Howard, Paul Mineiro p6373-6396 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models

Jiangang Lu, Xuehao Wang, Ying Wei, Yu Zhang, Yulong Zhang, Zhan Zhuang p73920-73951 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics

Marc Brockschmidt, Tor Fjelde, Andrew Foong, Leon Klein, Bruno Mlodozeniec, Frank Noe, Sebastian Nowozin, Ryota Tomioka p52863-52883 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Jiaxiang Dong, Yong Liu, Mingsheng Long, Guo Qin, Yunzhong Qiu, Jianmin Wang, Yuxuan Wang, Haixu Wu, Haoran Zhang p469-498 from Advances in Neural Information Processing Systems 37

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Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

Pankaj Dayama, Vijay Ekambaram, Wesley Gifford, Arindam Jati, Jayant Kalagnanam, Sumanta Mukherjee, Nam Nguyen, Chandra Reddy p74147-74181 from Advances in Neural Information Processing Systems 37

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TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge

Lin Gu, Juntao Guan, Rui Lai, Huanan Li, Sijun Ma, Zhangming Zhu p85340-85359 from Advances in Neural Information Processing Systems 37

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TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices

Ting Dang, Hong Jia, Young Kwon, Cecilia Mascolo, Alessio Orsino, Domenico Talia p43274-43299 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation

Xi Chen, Lu Qi, Yu Qiao, Kun Wang, Yi Wang, Hengshuang Zhao, Rongkun Zheng p38844-38862 from Advances in Neural Information Processing Systems 36

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To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty

András György, Ilja Kuzborskij, Csaba Szepesvári, Yasin Yadkori p58077-58117 from Advances in Neural Information Processing Systems 37

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To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation

Liqiang Nie, Jinglei Shi, Jufeng Yang, Chenxi Zhao p134747-134769 from Advances in Neural Information Processing Systems 37

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To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning

Xiao Liu, Muyang Lyu, Si Wu, Cong Yu p37736-37764 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis

Yao Fu, Fuzhao Xue, Yang You, Zangwei Zheng, Wangchunshu Zhou p59304-59322 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning

Ekaterina Lobacheva, Dmitrii Pozdeev, Ildus Sadrtdinov, Dmitry Vetrov p15936-15964 from Advances in Neural Information Processing Systems 36

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To Update Or Not to Update? Neurons at Equilibrium in Deep Models

Andrea Bragagnolo, Marco Grangetto, Enzo Tartaglione p22149-22160 from Advances in Neural Information Processing Systems 35

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TOA: Task-oriented Active VQA

Mingfu Liang, Ying Wu, Xiaoying Xing p54061-54074 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery

Yuzhou Chen, Baris Coskunuzer, Andaç Demir, Yulia Gel, Bulent Kiziltan, Ignacio Segovia-Dominguez p27978-27993 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation

Xiaoxue Chen, Pengfei Li, Yongliang Shi, Beiwen Tian, Ya-Qin Zhang, Hao Zhao, Guyue Zhou p17597-17611 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis

Ming-Ming Cheng, Hongcheng Gao, Taihang Hu, Fahad Khan, Linxuan Li, Joost van de Weijer, Kai Wang, Yaxing Wang, Jian Yang p137646-137672 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Token-Scaled Logit Distillation for Ternary Weight Generative Language Models

Du-Seong Chang, Jungwook Choi, Sukjin Hong, Minsoo Kim, Janghwan Lee, Sihwa Lee, Wonyong Sung p42097-42118 from Advances in Neural Information Processing Systems 36

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TokenMixup: Efficient Attention-Guided Token-Level Data Augmentation for Transformers

Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo Kim p14224-14235 from Advances in Neural Information Processing Systems 35

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Tolerant Algorithms for Learning with Arbitrary Covariate Shift

Surbhi Goel, Abhishek Shetty, Konstantinos Stavropoulos, Arsen Vasilyan p124979-125018 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Toolformer: Language Models Can Teach Themselves to Use Tools

Nicola Cancedda, Roberto Dessi, Jane Dwivedi-Yu, Eric Hambro, Maria Lomeli, Roberta Raileanu, Timo Schick, Thomas Scialom, Luke Zettlemoyer p68539-68551 from Advances in Neural Information Processing Systems 36

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ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

Shibo Hao, Zhiting Hu, Tianyang Liu, Zhen Wang p45870-45894 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value

Time-uniform confidence bands for the CDF under nonstationarity

Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models

Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge

TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices

TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation

To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty

To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation

To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning

To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis

To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning

To Update Or Not to Update? Neurons at Equilibrium in Deep Models

TOA: Task-oriented Active VQA

ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery

TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation

Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis

Token-Scaled Logit Distillation for Ternary Weight Generative Language Models

TokenMixup: Efficient Attention-Guided Token-Level Data Augmentation for Transformers

Tolerant Algorithms for Learning with Arbitrary Covariate Shift

Toolformer: Language Models Can Teach Themselves to Use Tools

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

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