Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation

Ziwei Xu, Yogesh Rawat, Yongkang Wong, Mohan Kankanhalli, Mubarak Shah p14890-14903 from Advances in Neural Information Processing Systems 35

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Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond

Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Voudouris p30665-30677 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy

Aahlad Puli, Lily Zhang, Yoav Wald, Rajesh Ranganath p71874-71910 from Advances in Neural Information Processing Systems 36

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Don’t call it privacy-preserving or human-centric pose estimation if you don’t measure privacy

Michele Baldassini, Francesco Pistolesi, Beatrice Lazzerini p144609-144624 from Advances in Neural Information Processing Systems 38

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Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models

Zitong Shi, Frank Wan, Haixin Wang, Ruoyan Li, Zijie Huang, Wanjia Zhao, Yijia Xiao, Xiao Luo, Carl Yang, Yizhou Sun, Wei Wang p9185-9207 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Don’t Give Up on Democratizing AI for the Wrong Reasons

Annette Zimmermann, Andrew Zeppa, Srijan Pandey, Kenneth Diao p147184-147197 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Don’t just prune by magnitude! Your mask topology is a secret weapon

Duc Hoang, Souvik Kundu, Shiwei Liu, Zhangyang "atlas" Wang p65056-65068 from Advances in Neural Information Processing Systems 36

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Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation

Woojin Kim, Jaeyoung Do p165288-165323 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection

Changhan Liu, xunzhi xiang, Zixuan Duan, Wenbin Li, Qi Fan, Yang Gao p162437-162461 from Advances in Neural Information Processing Systems 38

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Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

Zhengxiang Shi, Aldo Lipani p5827-5849 from Advances in Neural Information Processing Systems 36

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Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models

Sohyun An, Ruochen Wang, Tianyi Zhou, Cho-Jui Hsieh p123072-123097 from Advances in Neural Information Processing Systems 38

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Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL

Junyu guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas J Spanos, Javad Lavaei p177596-177630 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noé, Carla Gomes, Alán Aspuru-Guzik, Kirill Neklyudov p65791-65822 from Advances in Neural Information Processing Systems 37

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Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition

Sang Hoon Han, Seonho Lee, Hyeok Nam, Jae Hyeon Park, Min Hee Cha, Min Geol Kim, Hyunse Lee, Sangyeon Ahn, Moonju Chae, Sung In Cho p155428-155468 from Advances in Neural Information Processing Systems 38

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dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans

Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick p51085-51117 from Advances in Neural Information Processing Systems 37

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DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning

Archana Bura, Aria Hasanzadezonuzy, Dileep Kalathil, Srinivas Shakkottai, Jean-Francois Chamberland p1047-1059 from Advances in Neural Information Processing Systems 35

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DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction

Xinwei Zhang, Zhiqi Bu, Mingyi Hong, Meisam Razaviyayn p41826-41851 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V Le, Tengyu Ma, Adams Wei Yu p69798-69818 from Advances in Neural Information Processing Systems 36

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DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement

Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong p40272-40293 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments

Moritz Gögl, Yu Liu, Christopher Yau, Peter Watkinson, Tingting Zhu p27020-27052 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DOTA: Distributional Test-time Adaptation of Vision-Language Models

Zongbo Han, Jialong Yang, Guangyu Wang, Junfan Li, Qianli Xu, Mike Zheng Shou, Changqing Zhang p158436-158462 from Advances in Neural Information Processing Systems 38

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Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control

Jann Spiess, Guido Imbens, Amar Venugopal p63642-63659 from Advances in Neural Information Processing Systems 36

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Double Auctions with Two-sided Bandit Feedback

Soumya Basu, Abishek Sankararaman p3841-3852 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Double Bubble, Toil and Trouble: Enhancing Certified Robustness Through Transitivity

Andrew Cullen, Paul Montague, Shijie Liu, Sarah Erfani, Benjamin Rubinstein p19099-19112 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation

Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond

Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy

Don’t call it privacy-preserving or human-centric pose estimation if you don’t measure privacy

Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models

Don’t Give Up on Democratizing AI for the Wrong Reasons

Don’t just prune by magnitude! Your mask topology is a secret weapon

Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation

DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection

Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models

Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL

Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition

dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans

DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning

DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement

DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments

DOTA: Distributional Test-time Adaptation of Vision-Language Models

Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control

Double Auctions with Two-sided Bandit Feedback

Double Bubble, Toil and Trouble: Enhancing Certified Robustness Through Transitivity

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