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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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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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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 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 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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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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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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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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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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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Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination

Jiafei Lyu, Xiu Li, Zongqing Lu p38218-38231 from Advances in Neural Information Processing Systems 35

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Double Gumbel Q-Learning

David Yu-Tung Hui, Aaron Courville, Pierre-Luc Bacon p2580-2616 from Advances in Neural Information Processing Systems 36

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Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage

Jose Blanchet, Miao Lu, Tong Zhang, Han Zhong p66845-66859 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee

Yuanshi Liu, Cong Fang, Tong Zhang p68951-68979 from Advances in Neural Information Processing Systems 36

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Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search

Kevin Yu, Jihye Roh, Ziang Li, Wenhao Gao, Runzhong Wang, Connor Coley p112919-112949 from Advances in Neural Information Processing Systems 37

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Doubly Constrained Fair Clustering

John Dickerson, Seyed Esmaeili, Jamie Morgenstern, Claire Jie Zhang p13267-13293 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation

Yunlu Chen, Francisco Carrasco, Christian Häne, Giljoo Nam, Jean-Charles Bazin, Fernando De La Torre p89728-89751 from Advances in Neural Information Processing Systems 37

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Doubly Mild Generalization for Offline Reinforcement Learning

Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji p51436-51473 from Advances in Neural Information Processing Systems 37

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Doubly Robust Augmented Transfer for Meta-Reinforcement Learning

Yuankun Jiang, Nuowen Kan, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong p77002-77012 from Advances in Neural Information Processing Systems 36

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Doubly Robust Counterfactual Classification

Kwangho Kim, Edward Kennedy, Jose Zubizarreta p34831-34845 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 just prune by magnitude! Your mask topology is a secret weapon

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

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

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

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

Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination

Double Gumbel Q-Learning

Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage

Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee

Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search

Doubly Constrained Fair Clustering

Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation

Doubly Mild Generalization for Offline Reinforcement Learning

Doubly Robust Augmented Transfer for Meta-Reinforcement Learning

Doubly Robust Counterfactual Classification

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