Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learning to Discover Skills through Guidance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Discover Skills through Guidance

    Jaegul Choo, Dongyoon Hwang, Hyunseung Kim, Hojoon Lee, Byung Kun Lee, Kyushik Min, Sejik Park p28226-28254 from Advances in Neural Information Processing Systems 36
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  • Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf

    Yali Du, Meng Fang, Xuanfa Jin, Jun Wang, Ziyan Wang, Haifeng Zhang p77060-77097 from Advances in Neural Information Processing Systems 37
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  • Learning To Dive In Branch And Bound

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning To Dive In Branch And Bound

    Andreas Krause, Max Paulus p34260-34277 from Advances in Neural Information Processing Systems 36
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  • Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs

    Carl Allen, Joachim M Buhmann, Kushal Jain, Djordje Miladinovic, Max Paulus, Kumar Shridhar p9645-9659 from Advances in Neural Information Processing Systems 35
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  • Learning to Edit Visual Programs with Self-Supervision

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Edit Visual Programs with Self-Supervision

    Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie, Renhao Zhang p109407-109429 from Advances in Neural Information Processing Systems 37
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  • Learning to Embed Distributions via Maximum Kernel Entropy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Embed Distributions via Maximum Kernel Entropy

    Oleksii Kachaiev, Stefano Recanatesi p44710-44734 from Advances in Neural Information Processing Systems 37
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  • Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis

    Jonathan Laurent, André Platzer p4843-4856 from Advances in Neural Information Processing Systems 35
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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

    Toryn Klassen, Andrew Li, Sheila McIlraith, Scott Sanner, Mathieu Tuli, Pashootan Vaezipoor p19441-19455 from Advances in Neural Information Processing Systems 35
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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

    Sung Ju Hwang, Hoyong Jeong, Suyoung Lee, 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

    Aritra Das, Darshil Doshi, Andrey Gromov, Tianyu He 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

    Ziniu Hu, Tinglin Huang, 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, Zhiguang Cao, Yining Ma, Wen Song, Yaoxin Wu, Jie Zhang, Jianan Zhou 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

    Anca Dragan, Joey Hong, Sergey Levine p36094-36105 from Advances in Neural Information Processing Systems 36
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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

    Seunghoon Hong, Dong Hoon Lee 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, Nicolas Lepore, Eric Mibuari, 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

    Etienne Boursier, Aymeric Capitaine, Alain Durmus, Michael Jordan, Eric Moulines, Antoine Scheid 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

    Sepp Hochreiter, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Thomas Schmied 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

    Arun Ahuja, Sheila Babayan, Ishita Dasgupta, Rob Fergus, Will Grathwohl, Christine Kaeser-Chen, Kenneth Marino, John Schultz, Wendy Shang, Manzil Zaheer 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

    Jianlong Chang, Haojie Li, Wanli Ouyang, Qi Tian, Shijie Wang, Zhihui Wang p64681-64694 from Advances in Neural Information Processing Systems 36
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  • Learning to Predict Structural Vibrations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Predict Structural Vibrations

    Christopher Blech, Sabine Langer, Timo Lüddecke, Julius Schultz, Jan van Delden 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 Re-Weight Examples with Optimal Transport for Imbalanced Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Re-Weight Examples with Optimal Transport for Imbalanced Classification

    Dandan Guo, Zhuo Li, Hongyuan Zha, He Zhao, Meixi Zheng, Mingyuan Zhou p25517-25530 from Advances in Neural Information Processing Systems 35
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  • Learning to Reason and Memorize with Self-Notes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Reason and Memorize with Self-Notes

    Jack Lanchantin, Sainbayar Sukhbaatar, Arthur Szlam, Shubham Toshniwal, Jason Weston p11891-11911 from Advances in Neural Information Processing Systems 36
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  • Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios

    Basura Fernando, Shantanu Jaiswal, Debaditya Roy, Cheston Tan p137965-137998 from Advances in Neural Information Processing Systems 37
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