Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking

    Matthias Althoff, Michael Eichelbeck, Philipp Gassert, Hanna Krasowski, Roland Stolz, Jakob Thumm p95067-95094 from Advances in Neural Information Processing Systems 37
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  • Exclusively Penalized Q-learning for Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exclusively Penalized Q-learning for Offline Reinforcement Learning

    Seungyul Han, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Junghyuk Yeom p113405-113435 from Advances in Neural Information Processing Systems 37
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  • Exocentric-to-Egocentric Video Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exocentric-to-Egocentric Video Generation

    Jussi Keppo, Jia-Wei Liu, Weijia Mao, Mike Shou, Zhongcong Xu p136149-136172 from Advances in Neural Information Processing Systems 37
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  • Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation

    Yikang Chen, Dehui Du, Lili Tian p132313-132363 from Advances in Neural Information Processing Systems 37
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  • Expanding Sparse Tuning for Low Memory Usage

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expanding Sparse Tuning for Low Memory Usage

    Qingming Huang, Xiangyang Ji, Shufan Shen, Junshu Sun, Shuhui Wang p76616-76642 from Advances in Neural Information Processing Systems 37
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  • Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch

    Malek Mechergui, Sarath Sreedharan p62458-62479 from Advances in Neural Information Processing Systems 37
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  • Expected Probabilistic Hierarchies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expected Probabilistic Hierarchies

    Bertrand Charpentier, Stephan Günnemann, Marcel Kollovieh, Daniel Zügner p13818-13850 from Advances in Neural Information Processing Systems 37
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  • Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport

    Maksim Bobrin, Nazar Buzun, Dmitry V. Dylov p119811-119837 from Advances in Neural Information Processing Systems 37
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  • Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection

    Charles Guille-Escuret, Ioannis Mitliagkas, Joao Monteiro, Pierre-André Noël, David Vazquez p130953-130976 from Advances in Neural Information Processing Systems 37
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  • Expert-level protocol translation for self-driving labs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Expert-level protocol translation for self-driving labs

    Zhangqian Bi, Haofei Hou, Fanxu Meng, Lecheng Ruan, Yu-Zhe Shi, Qining Wang, Qiao Xu p47488-47529 from Advances in Neural Information Processing Systems 37
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  • Explaining Datasets in Words: Statistical Models with Natural Language Parameters

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Explaining Datasets in Words: Statistical Models with Natural Language Parameters

    Dan Klein, Jacob Steinhardt, Heng Wang, Ruiqi Zhong p79350-79380 from Advances in Neural Information Processing Systems 37
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  • Explanations that reveal all through the de?nition of encoding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Explanations that reveal all through the de?nition of encoding

    Nhi Nguyen, Aahlad Puli, Rajesh Ranganath p99965-100006 from Advances in Neural Information Processing Systems 37
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  • Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization

    Mehrtash Harandi, Trung Le, Haocheng Luo, Tung Pham, Dinh Phung, Tuan Truong p4424-4453 from Advances in Neural Information Processing Systems 37
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  • Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering

    Dongxiao He, Lianze Shan, Zhen Wang, Hengrui Zhang, Weixiong Zhang, Jitao Zhao p115351-115376 from Advances in Neural Information Processing Systems 37
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  • Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion

    Mikołaj Piórczyński, Simone Scardapane, Filip Szatkowski, Bartosz Wójcik p43245-43273 from Advances in Neural Information Processing Systems 37
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  • Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels

    Haoyang Luo, Yadan Luo, Zheng Zhang p50826-50849 from Advances in Neural Information Processing Systems 37
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  • Exploiting LLM Quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting LLM Quantization

    Kazuki Egashira, Jingxuan He, Robin Staab, Martin Vechev, Mark Vero p41709-41732 from Advances in Neural Information Processing Systems 37
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  • Exploiting Representation Curvature for Boundary Detection in Time Series

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting Representation Curvature for Boundary Detection in Time Series

    Byung Lee, Jae-Gil Lee, Jaehyun Park, Yooju Shin, Hwanjun Song, Susik Yoon p5974-5995 from Advances in Neural Information Processing Systems 37
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  • Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration

    Chao Gao, Martin Müller, Han Wang, Chenjun Xiao, Bo Xu, Hongming Zhang p85658-85692 from Advances in Neural Information Processing Systems 37
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  • Exploration by Learning Diverse Skills through Successor State Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploration by Learning Diverse Skills through Successor State Representations

    Yann Besse, Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Florent Teichteil-Konigsbuch, Dennis Wilson p75277-75301 from Advances in Neural Information Processing Systems 37
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  • Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following

    Jinwoo Jang, Wei-jin Park, Honguk Woo, Minjong Yoo p67034-67060 from Advances in Neural Information Processing Systems 37
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  • Exploring Adversarial Robustness of Deep State Space Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Adversarial Robustness of Deep State Space Models

    Junqi Gao, Pengfei Li, Yiang Luo, Zhiyuan Ma, Biqing Qi, Kai Tian, Bowen Zhou p6549-6573 from Advances in Neural Information Processing Systems 37
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  • Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks

    Lan Li, Xin-Chun Li, Jin-Lin Tang, De-Chuan Zhan, Bo Zhang p116172-116201 from Advances in Neural Information Processing Systems 37
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  • Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models

    Chengrui Li, Weihan Li, Yule Wang, Anqi Wu p34712-34736 from Advances in Neural Information Processing Systems 37
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