Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization

    Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava p3304-3331 from Advances in Neural Information Processing Systems 37
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  • KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

    Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen p20359-20405 from Advances in Neural Information Processing Systems 38
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  • KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows

    Zaifeng Pan, AJJKUMAR DAHYALAL PATEL, Yipeng Shen, Zhengding Hu, Yue Guan, Wan-Lu Li, Lianhui Qin, Yida Wang, Yufei Ding p139912-139931 from Advances in Neural Information Processing Systems 38
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  • KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse

    Jingbo Yang, Bairu Hou, Wei Wei, Yujia Bao, Shiyu Chang p148312-148339 from Advances in Neural Information Processing Systems 38
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  • KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

    Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael Mahoney, Yakun Shao, Kurt Keutzer, Amir Gholami p1270-1303 from Advances in Neural Information Processing Systems 37
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  • KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction

    Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon, Jae W. Lee, Sangdoo Yun, Hyun Oh Song p185730-185758 from Advances in Neural Information Processing Systems 38
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  • L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling

    Zhuo Chen, Oriol Comas, Zhuotao Jin, Di Luo, Marin Soljacic p153571-153611 from Advances in Neural Information Processing Systems 38
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  • L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference

    Julia Linhart, Alexandre Gramfort, Pedro Rodrigues p56384-56410 from Advances in Neural Information Processing Systems 36
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  • L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors

    Zheng Chang, Shuchen Weng, Peixuan Zhang, Yu Li, Si Li, Boxin Shi p77174-77186 from Advances in Neural Information Processing Systems 36
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  • L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models

    Xiaohao Liu, Xiaobo Xia, Weixiang Zhao, Manyi Zhang, Xianzhi Yu, Xiu Su, Shuo Yang, See-Kiong Ng, Tat-Seng Chua p113671-113702 from Advances in Neural Information Processing Systems 38
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  • L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer

    Jin Shin, Hyun Kim p39325-39349 from Advances in Neural Information Processing Systems 37
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  • L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias

    jingxiao zhang, Shifei Ding, Jian Zhang, Lili Guo, Xuan Li p193457-193476 from Advances in Neural Information Processing Systems 38
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  • L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery

    Ziwei Shi, Xiaoran Zhang, Wenjing Xu, Yan Xia, Yu Zang, Siqi Shen, Cheng Wang p178309-178332 from Advances in Neural Information Processing Systems 38
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  • L2T-DLN: Learning to Teach with Dynamic Loss Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L2T-DLN: Learning to Teach with Dynamic Loss Network

    Zhaoyang Hai, Liyuan Pan, Xiabi Liu, Zhengzheng Liu, Mirna Yunita p43084-43096 from Advances in Neural Information Processing Systems 36
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  • L4GM: Large 4D Gaussian Reconstruction Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    L4GM: Large 4D Gaussian Reconstruction Model

    Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Kim, Huan Ling p56828-56858 from Advances in Neural Information Processing Systems 37
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  • Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model

    Hui Guo, Boyu Wang, Grace Yi p347-386 from Advances in Neural Information Processing Systems 36
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  • Label Delay in Online Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Label Delay in Online Continual Learning

    Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip Torr, Adel Bibi p119976-120012 from Advances in Neural Information Processing Systems 37
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  • Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting

    Chengyu Dong, Liyuan Liu, Jingbo Shang p17556-17567 from Advances in Neural Information Processing Systems 35
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  • Label Noise: Ignorance Is Bliss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Label Noise: Ignorance Is Bliss

    Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott p116575-116616 from Advances in Neural Information Processing Systems 37
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  • Label Poisoning is All You Need

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Label Poisoning is All You Need

    Rishi Jha, Jonathan Hayase, Sewoong Oh p71029-71052 from Advances in Neural Information Processing Systems 36
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  • Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency

    Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Suggala p23019-23033 from Advances in Neural Information Processing Systems 36
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  • Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels

    Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang p18430-18441 from Advances in Neural Information Processing Systems 35
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  • Label-efficient Segmentation via Affinity Propagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Label-efficient Segmentation via Affinity Propagation

    Wentong Li, Yuqian Yuan, Song Wang, Wenyu Liu, Dongqi Tang, Jian Liu, Jianke Zhu, Lei Zhang p29901-29913 from Advances in Neural Information Processing Systems 36
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  • Label-Invariant Augmentation for Semi-Supervised Graph Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Label-Invariant Augmentation for Semi-Supervised Graph Classification

    Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu p29350-29361 from Advances in Neural Information Processing Systems 35
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