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

Paul Mineiro, Steven Howard 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

Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei, Yu Zhang 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

Leon Klein, Andrew Foong, Tor Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noe, 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

Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long 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

Vijay Ekambaram, Arindam Jati, Pankaj Dayama, Sumanta Mukherjee, Nam Nguyen, Wesley Gifford, Chandra Reddy, Jayant Kalagnanam 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

Huanan Li, Juntao Guan, Rui Lai, Sijun Ma, Lin Gu, 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

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

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

Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao 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

Yasin Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvári 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

Chenxi Zhao, Jinglei Shi, Liqiang Nie, Jufeng Yang 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, Cong Yu, Si Wu p37736-37764 from Advances in Neural Information Processing Systems 37

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

Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You 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

Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry Vetrov, Ekaterina Lobacheva 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, Enzo Tartaglione, Marco Grangetto p22149-22160 from Advances in Neural Information Processing Systems 35

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TOA: Task-oriented Active VQA

Xiaoying Xing, Mingfu Liang, Ying Wu 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

Andaç Demir, Baris Coskunuzer, Yulia Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan 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

Pengfei Li, Beiwen Tian, Yongliang Shi, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang 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

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

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Token-Scaled Logit Distillation for Ternary Weight Generative Language Models

Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi 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

Timo Schick, Jane Dwivedi-Yu, Roberto Dessi, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom 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, Tianyang Liu, Zhen Wang, Zhiting Hu 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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