Paper Papers
5,964 papers found • Page 38 of 120
Conference
Kernel Learning for Sample Constrained Black-Box Optimization
Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury
KernelMatmul: Scaling Gaussian Processes to Large Time Series
Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences
Keng-Wei Chang, Zi-Ming Wang, Shang-Hong Lai
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning
Yiming Huang, Xiao Liu, Yeyun Gong et al.
KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints
Sheng Yu, Di-Hua Zhai, Yuanqing Xia
KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank
Kuan Xu, Kuo Yang, Jian Liu et al.
K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach
Linhuang Xie, Shihao Gao, Jie Liu et al.
k-HyperEdge Medoids for Clustering Ensemble
Feijiang Li, Jieting Wang, Liuya Zhang et al.
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
Qianxiong Xu, Cheng Long, Ziyue Li et al.
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery
Hao Wang, Biqin Song, Hao Deng et al.
Know2Vec: A Black-Box Proxy for Neural Network Retrieval
Zhuoyi Shang, Yanwei Liu, Jinxia Liu et al.
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
Yifan Lu, Yigeng Zhou, Jing Li et al.
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data
Yuxuan Song, Qiudan Li, Yilin Wu et al.
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Duanyang Yuan, Sihang Zhou, Xiaoshu Chen et al.
Knowledge Graph Retrieval-Augmented Generation via GNN-Guided Prompting
Haochen Liu, Song Wang, Jundong Li
Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients
Xuan Liu, Menglu Li
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
Chenhui Hu, Pengfei Cao, Yubo Chen et al.
Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis
Zhiang Dong, Jingyuan Chen, Fei Wu
Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale
Bowen Jiang, Zhuoqun Hao, Young Min Cho et al.
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao et al.
Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation
Ke Li, Gengyu Lyu, Hao Chen et al.
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering
Tingting Wu, Zhendong Li, Zhibin Gu et al.
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP
Anton Lee, Heitor Murilo Gomes, Yaqian Zhang et al.
K-ON: Stacking Knowledge on the Head Layer of Large Language Model
Lingbing Guo, Yichi Zhang, Zhongpu Bo et al.
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models
Jiaxiang Liu, Tianxiang Hu, Jiawei Du et al.
KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs
Zunhai Su, Kehong Yuan
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
Junxuan Zhang, Zhengxue Cheng, Yan Zhao et al.
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
Xun Huang, Ziyu Xu, Hai Wu et al.
Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction
Jiyi Li
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
Shaoyan Pan, Yikang Liu, Lin Zhao et al.
Label-Free Backdoor Attacks in Vertical Federated Learning
Wei Shen, Wenke Huang, Guancheng Wan et al.
Label Noise Correction via Fuzzy Learning Machine
Jiye Liang, Yixiao Li, Junbiao Cui
LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation
Yumin Zhang, Haoran Duan, Rui Sun et al.
LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration
Sangmin Lee, Woojin Chung, Hong-Goo Kang
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
Matej Benko, Iwona Chlebicka, Jorgen Endal et al.
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
Yi Feng, Xiao Wang, Tian Xie
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
Anthony GX-Chen, Dongyan Lin, Mandana Samiei et al.
Language Model Can Listen While Speaking
Ziyang Ma, Yakun Song, Chenpeng Du et al.
Language Model Personalization via Reward Factorization
Idan Shenfeld, Felix Faltings, Pulkit Agrawal et al.
Language models align with brain regions that represent concepts across modalities
Maria Ryskina, Greta Tuckute, Alexander Fung et al.
Language Models Fail to Introspect About Their Knowledge of Language
Siyuan Song, Jennifer Hu, Kyle Mahowald
Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution
Abhilash Nandy, Sambaran Bandyopadhyay
Language Model Uncertainty Quantification with Attention Chain
Yinghao Li, Rushi Qiang, Lama Moukheiber et al.
Language Pre-training Guided Masking Representation Learning for Time Series Classification
Liaoyuan Tang, Zheng Wang, Jie Wang et al.
Language Prompt for Autonomous Driving
Dongming Wu, Wencheng Han, Yingfei Liu et al.
Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting
Lingting Zhu, Guying Lin, Jinnan Chen et al.
Large Language Model Meets Graph Neural Network in Knowledge Distillation
Shengxiang Hu, Guobing Zou, Song Yang et al.
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
Shoutao Guo, Shaolei Zhang, Zhengrui Ma et al.
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning
Hui Fang, Yang Gao, Peng Zhang et al.