Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-Based Best-First Search for Sokoban Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-Based Best-First Search for Sokoban Planning

    Dieqiao Feng, Carla Gomes, Bart Selman p36295-36307 from Advances in Neural Information Processing Systems 35
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  • LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

    Adam Chilton, Alex Chohlas-Wood, Jonathan Choi, Gregory Dickinson, Frank Fagan, Sunny Gandhi, Shang Gao, Sharad Goel, Neel Guha, Margaret Hagan, Jason Hegland, Peter Henderson, Daniel Ho, Nils Holzenberger, Enam Hoque, Varun Iyer, Aditya K, et al. p44123-44279 from Advances in Neural Information Processing Systems 36
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  • Lending Interaction Wings to Recommender Systems with Conversational Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lending Interaction Wings to Recommender Systems with Conversational Agents

    Xianyu Chen, Yue Feng, Jiarui Jin, Jun Wang, Mengyue Yang, Fanghua Ye, Yong Yu, Weinan Zhang p27951-27979 from Advances in Neural Information Processing Systems 36
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  • Length Optimization in Conformal Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Length Optimization in Conformal Prediction

    Hamed Hassani, Shayan Kiyani, George Pappas p99519-99563 from Advances in Neural Information Processing Systems 37
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  • LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction

    Yunhe Gao, Di Liu, Dimitris Metaxas, Anastasis Stathopoulos, Qilong Zhangli p54187-54198 from Advances in Neural Information Processing Systems 36
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  • Less-Forgetting Multi-Lingual Fine-Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Less-Forgetting Multi-Lingual Fine-Tuning

    Lu Chen, Nan Duan, Yunjun Gao, Yaobo Liang, Yuren Mao, Haobo Wang, Kai Wang p14917-14928 from Advances in Neural Information Processing Systems 35
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  • LESS: Label-Efficient and Single-Stage Referring 3D Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LESS: Label-Efficient and Single-Stage Referring 3D Segmentation

    Jinlong Li, Xuexun Liu, Lin Ma, Nicu Sebe, Xu Wang, Xiaoxu Xu, Qiudan Zhang p11164-11185 from Advances in Neural Information Processing Systems 37
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  • Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis

    Shuguang Cui, Jiantao Gao, Zhen Li, Xu Yan, Heshen Zhan, Ruimao Zhang, Chaoda Zheng p32398-32411 from Advances in Neural Information Processing Systems 35
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  • Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets

    Yoshua Bengio, Aaron Courville, Hanjun Dai, Nikolay Malkin, Ling Pan, Dinghuai Zhang p11952-11969 from Advances in Neural Information Processing Systems 36
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  • Lethal Dose Conjecture on Data Poisoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lethal Dose Conjecture on Data Poisoning

    Soheil Feizi, Alexander Levine, Wenxiao Wang p1776-1789 from Advances in Neural Information Processing Systems 35
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  • Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

    Yucheng Han, Haoxuan Ma, Yingzhe Peng, Shuo Xu, Xu Yang, Chi Zhang, Hanwang Zhang p100341-100368 from Advances in Neural Information Processing Systems 37
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  • Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals

    Lisa Bedin, Gabriel Cardoso, Remi Dubois, Josselin Duchateau, Eric Moulines p84409-84446 from Advances in Neural Information Processing Systems 37
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  • Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning

    Hongcheng Gao, Taihang Hu, Qingming Huang, Liang Li, Jiadong Pan, Li Su, Zongyu Wu p115208-115232 from Advances in Neural Information Processing Systems 37
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  • Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers

    Jinsong Chen, Kun He, John Hopcroft, Hanpeng Liu p85824-85845 from Advances in Neural Information Processing Systems 37
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  • Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models

    Bo Jiang, Shuai Li, Zhijie Wang, Ruofeng Yang p107662-107702 from Advances in Neural Information Processing Systems 37
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  • Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis

    Daehyun Ahn, Hyesung Jeon, Dongwon Jo, Jae-Joon Kim, Hyungjun Kim, Taesu Kim, Yulhwa Kim p1229-1244 from Advances in Neural Information Processing Systems 36
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  • Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models

    Raquel Aoki, Yanshuai Cao, Sadegh Mahdavi, Keyi Tang p38960-39008 from Advances in Neural Information Processing Systems 37
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  • Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare

    Finale Doshi-Velez, Maggie Makar, Michael Sjoding, Shengpu Tang, Jenna Wiens p34272-34286 from Advances in Neural Information Processing Systems 35
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  • Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation

    Shaogang Gong, Jian Hu, Jiayi Lin, Junchi Yan p107171-107197 from Advances in Neural Information Processing Systems 37
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  • Leveraging Inter-Layer Dependency for Post -Training Quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Inter-Layer Dependency for Post -Training Quantization

    Liang Li, Yuanliu Liu, Changbao Wang, Dandan Zheng p6666-6679 from Advances in Neural Information Processing Systems 35
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  • Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression

    Robert Allison, Samuel F, Edward O Pyzer-Knapp, Anthony Stephenson p18906-18931 from Advances in Neural Information Processing Systems 36
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  • Leveraging partial stragglers within gradient coding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging partial stragglers within gradient coding

    Vrinda Girimaji, Ruoyu Meng, Aditya Ramamoorthy p60382-60402 from Advances in Neural Information Processing Systems 37
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  • Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning

    Lin Guan, Subbarao Kambhampati, Sarath Sreedharan, Karthik Valmeekam p79081-79094 from Advances in Neural Information Processing Systems 36
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  • Leveraging Separated World Model for Exploration in Visually Distracted Environments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Separated World Model for Exploration in Visually Distracted Environments

    Shuai Feng, Le Gan, Kaichen Huang, Minghao Shao, Hai-Hang Sun, Shenghua Wan, De-Chuan Zhan p82350-82374 from Advances in Neural Information Processing Systems 37
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