Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning

    Yiju Guo, Wenkai Yang, Zexu Sun, Ning Ding, Zhiyuan Liu, Yankai Lin p28189-28216 from Advances in Neural Information Processing Systems 38
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  • Learning to Follow Instructions in Text-Based Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Follow Instructions in Text-Based Games

    Mathieu Tuli, Andrew Li, Pashootan Vaezipoor, Toryn Klassen, Scott Sanner, Sheila McIlraith p19441-19455 from Advances in Neural Information Processing Systems 35
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  • Learning to Generalize: An Information Perspective on Neural Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Generalize: An Information Perspective on Neural Processes

    Hui Li, Huafeng Liu, Shuyang Lin, Jingyue Shi, Yiran Fu, Liping Jing p145341-145383 from Advances in Neural Information Processing Systems 38
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  • Learning to Generate Human-Human-Object Interactions from Textual Descriptions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Generate Human-Human-Object Interactions from Textual Descriptions

    Jeonghyeon Na, Sangwon Baik, Inhee Lee, Junyoung Lee, Hanbyul Joo p142894-142912 from Advances in Neural Information Processing Systems 38
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  • Learning to Generate Inversion-Resistant Model Explanations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Generate Inversion-Resistant Model Explanations

    Hoyong Jeong, Suyoung Lee, Sung Ju Hwang, Sooel Son p17717-17729 from Advances in Neural Information Processing Systems 35
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  • Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks

    Tianyu He, Darshil Doshi, Aritra Das, Andrey Gromov p13244-13273 from Advances in Neural Information Processing Systems 37
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  • Learning to Group Auxiliary Datasets for Molecule

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Group Auxiliary Datasets for Molecule

    Tinglin Huang, Ziniu Hu, Rex Ying p45339-45359 from Advances in Neural Information Processing Systems 36
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  • Learning to Handle Complex Constraints for Vehicle Routing Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Handle Complex Constraints for Vehicle Routing Problems

    Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang p93479-93509 from Advances in Neural Information Processing Systems 37
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  • Learning to Influence Human Behavior with Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Influence Human Behavior with Offline Reinforcement Learning

    Joey Hong, Sergey Levine, Anca Dragan p36094-36105 from Advances in Neural Information Processing Systems 36
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  • Learning to Insert for Constructive Neural Vehicle Routing Solver

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Insert for Constructive Neural Vehicle Routing Solver

    Fu Luo, Xi Lin, Mengyuan Zhong, Fei Liu, Zhenkun Wang, Jianyong Sun, Qingfu Zhang p96953-96992 from Advances in Neural Information Processing Systems 38
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  • Learning to Instruct for Visual Instruction Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Instruct for Visual Instruction Tuning

    Zhihan Zhou, Feng Hong, JIAAN LUO, Yushi Ye, Jiangchao Yao, Dongsheng Li, Bo Han, Ya Zhang, Yanfeng Wang p52894-52921 from Advances in Neural Information Processing Systems 38
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  • Learning to Integrate Diffusion ODEs by Averaging the Derivatives

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Integrate Diffusion ODEs by Averaging the Derivatives

    Wenze Liu, Xiangyu Yue p148340-148374 from Advances in Neural Information Processing Systems 38
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  • Learning to Learn with Contrastive Meta-Objective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Learn with Contrastive Meta-Objective

    Shiguang Wu, Yaqing Wang, Yatao Bian, Quanming Yao p37453-37483 from Advances in Neural Information Processing Systems 38
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  • Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers

    Dong Hoon Lee, Seunghoon Hong p54079-54104 from Advances in Neural Information Processing Systems 37
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  • Learning to Mitigate AI Collusion on Economic Platforms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Mitigate AI Collusion on Economic Platforms

    Gianluca Brero, Eric Mibuari, Nicolas Lepore, David Parkes p37892-37904 from Advances in Neural Information Processing Systems 35
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  • Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality

    Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael Jordan, Alain Durmus p15149-15183 from Advances in Neural Information Processing Systems 37
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  • Learning to Modulate pre-trained Models in RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Modulate pre-trained Models in RL

    Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter p38231-38265 from Advances in Neural Information Processing Systems 36
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  • Learning to Navigate Wikipedia by Taking Random Walks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Navigate Wikipedia by Taking Random Walks

    Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus p1529-1541 from Advances in Neural Information Processing Systems 35
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  • Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval

    Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang, Qi Tian p64681-64694 from Advances in Neural Information Processing Systems 36
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  • Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making

    Tianyuan Jia, Ziyu Li, Qing Li, Xiuxing Li, Xiang Li, Chen Wei, Li Yao, Xia Wu p58798-58824 from Advances in Neural Information Processing Systems 38
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  • Learning to Predict Structural Vibrations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Predict Structural Vibrations

    Jan Van Delden, Julius Schultz, Christopher Blech, Sabine Langer, Timo Lüddecke p103706-103736 from Advances in Neural Information Processing Systems 37
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  • Learning to Price Homogeneous Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Price Homogeneous Data

    Keran Chen, Joon Suk Huh, Kirthevasan Kandasamy p88705-88738 from Advances in Neural Information Processing Systems 37
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  • Learning to price with resource constraints: from full information to machine-learned prices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to price with resource constraints: from full information to machine-learned prices

    Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi p101327-101365 from Advances in Neural Information Processing Systems 38
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  • Learning to Rank for In-Context Example Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Rank for In-Context Example Retrieval

    Yuwen Ji, Luodan Zhang, Ambyer han, Haoran Que, Lei Shi, Wang Chao, Yue Zhang p157003-157030 from Advances in Neural Information Processing Systems 38
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