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

    Neel Guha, Julian Nyarko, Daniel Ho, Christopher Ré, Adam Chilton, Aditya K, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, 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

    Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang 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

    Shayan Kiyani, George Pappas, Hamed Hassani 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

    Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris Metaxas 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

    Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao 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

    Xuexun Liu, Xiaoxu Xu, Jinlong Li, Qiudan Zhang, Xu Wang, Nicu Sebe, Lin Ma 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

    Xu Yan, Heshen Zhan, Chaoda Zheng, Jiantao Gao, Ruimao Zhang, Shuguang Cui, Zhen Li 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

    Dinghuai Zhang, Hanjun Dai, Nikolay Malkin, Aaron Courville, Yoshua Bengio, Ling Pan 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

    Wenxiao Wang, Alexander Levine, Soheil Feizi 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

    Xu Yang, Yingzhe Peng, Haoxuan Ma, Shuo Xu, Chi Zhang, Yucheng Han, 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, Josselin Duchateau, Remi Dubois, 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

    Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li 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, Hanpeng Liu, John Hopcroft, Kun He 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

    Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li 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

    Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon 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

    Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao 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

    Shengpu Tang, Maggie Makar, Michael Sjoding, Finale Doshi-Velez, 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

    Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong 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

    Changbao Wang, Dandan Zheng, Yuanliu Liu, Liang Li 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, Anthony Stephenson, Samuel F, Edward O Pyzer-Knapp 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

    Aditya Ramamoorthy, Ruoyu Meng, Vrinda Girimaji 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, Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati 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

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