Most Cited AAAI "motion clustering" Papers
5,317 papers found • Page 23 of 27
Conference
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach
Zhen Tan, Jie Peng, Song Wang et al.
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao et al.
A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation
Shiyu Tian, Shuyue Xing, Xingrui Li et al.
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification
Yuchen Tian, Weixiang Yan, Qian Yang et al.
A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation
Bingbing Wang, Yiming Du, Bin Liang et al.
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data
Chenglong Wang, Yang Gan, Yifu Huo et al.
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs
Guoqing Wang, Wen Wu, Guangze Ye et al.
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling
Jieyi Wang, Yue Huang, Zeming Liu et al.
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models
Linqin Wang, Yaping Liu, Zhengtao Yu et al.
McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension
Tongguan Wang, Mingmin Wu, Guixin Su et al.
Exploring Activation Patterns of Parameters in Language Models
Yudong Wang, Damai Dai, Zhe Yang et al.
Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding
Yueqian Wang, Xiaojun Meng, Yuxuan Wang et al.
RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
Zhensheng Wang, Wenmian Yang, Kun Zhou et al.
STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs
Zhuang Wang, Linna Zhou, Xuekai Chen et al.
Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing
William Watson, Nicole Cho, Nishan Srishankar
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation
Xin Wu, Yuqi Bu, Yifei Chen et al.
Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization
Yihan Wu, Yichen Lu, Yifan Peng et al.
Improving Retrieval Augmented Language Model with Self-Reasoning
Yuan Xia, Jingbo Zhou, Zhenhui Shi et al.
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
Wenyi Xiao, Ziwei Huang, Leilei Gan et al.
Explicitly Guided Difficulty-Controllable Visual Question Generation
Jiayuan Xie, Mengqiu Cheng, Xinting Zhang et al.
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
Jinxiang Xie, Yilin Li, Xunjian Yin et al.
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners
Yuchen Yan, Jin Jiang, Yang Liu et al.
SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor
Chenyu Yang, Shuai Wang, Hangting Chen et al.
Fine-Tuning Language Models with Collaborative and Semantic Experts
Jiaxi Yang, Binyuan Hui, Min Yang et al.
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting
Shuo Yang, Bardh Prenkaj, Gjergji Kasneci
ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks
Jiashu Yao, Heyan Huang, Zeming Liu et al.
EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction
Jingheng Ye, Shang Qin, Yinghui Li et al.
MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
Congchi Yin, Feng Li, Shu Zhang et al.
Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training
Ji Won Yoon
Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks
Yijiong Yu, Yongfeng Huang, Zhixiao Qi et al.
DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent
Dingbo Yuan, Yipeng Chen, Guodong Liu et al.
CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation
Hongwei Yuan, Xiu Tang, Ke Chen et al.
Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks
Shengbin Yue, Siyuan Wang, Wei Chen et al.
QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
Amir Zandieh, Majid Daliri, Insu Han
Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment
Jinshan Zeng, Xianglong Yu, Xianchao Tong et al.
CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation
Hongxuan Zhang, Yao Zhao, Jiaqi Zheng et al.
SAIL: Sample-Centric In-Context Learning for Document Information Extraction
Jinyu Zhang, Zhiyuan You, Jize Wang et al.
Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation
Junwei Zhang, Xiaolin Li
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM
Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen et al.
Code-switching Mediated Sentence-level Semantic Learning
Shuai Zhang, Jiangyan Yi, Zhengqi Wen et al.
TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
Wen Zhang, Long Jin, Yushan Zhu et al.
Capability Instruction Tuning
Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
You Zhang, Jin Wang, Liang-Chih Yu et al.
Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding
Yuxiang Zhang, Jitao Sang
Prototype-Guided Multimodal Relation Extraction based on Entity Attributes
Zefan Zhang, Weiqi Zhang, Yanhui Li et al.
Mixture of Knowledge Minigraph Agents for Literature Review Generation
Zhi Zhang, Yan Liu, Sheng-hua Zhong et al.
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
Andrew Zhao, Quentin Xu, Matthieu Lin et al.
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency
Hanyu Zhao, Li Du, Yiming Ju et al.
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
Lulu Zhao, Weihao Zeng, Xiaofeng Shi et al.
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning
Liwen Zheng, Chaozhuo Li, Litian Zhang et al.
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
Shunfan Zheng, Xiechi Zhang, Gerard de Melo et al.
MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing
Hao Zhou, Zhijun Wang, Shujian Huang et al.
CharacterBench: Benchmarking Character Customization of Large Language Models
Jinfeng Zhou, Yongkang Huang, Bosi Wen et al.
Editing Memories Through Few Targeted Neurons
Wei Zhou, Wei Wei, Guibang Cao et al.
RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation
Jia Zhu, Hanghui Guo, Weijie Shi et al.
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents
Mengna Zhu, Kaisheng Zeng, Mao Wang et al.
DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
Qiming Zhu, Jialun Cao, Yaojie Lu et al.
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
Yutao Zhu, Zhaoheng Huang, Zhicheng Dou et al.
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
Tianyu Zong, Bingkang Shi, Hongzhu Yi et al.
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction
Shuyang Dong, Meiyi Ma, Josephine Lamp et al.
The Unreasonable Effectiveness of Open Science in AI: A Replication Study
Odd Erik Gundersen, Odd Cappelen, Martin Mølnå et al.
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models
Jiaming He, Wenbo Jiang, Guanyu Hou et al.
SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away
Jiliang Hu, Jiajia Li, Ziyi Pan et al.
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
Jinhyeok Jang, Jaehong Kim, Chan-Hyun Youn
Fair Text-to-Image Diffusion via Fair Mapping
Jia Li, Lijie Hu, Jingfeng Zhang et al.
ScreenMark: Watermarking Arbitrary Visual Content on Screen
Xiujian Liang, Gaozhi Liu, Yichao Si et al.
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
Youngsun Lim, Hojun Choi, Hyunjung Shim
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
Xuan Liu, Siqi Cai, Qihua Zhou et al.
Fairness-Accuracy Trade-Offs: A Causal Perspective
Drago Plecko, Elias Bareinboim
Provably Secure Image Robust Steganography via Cross-modal Error Correction
Yuang Qi, Kejiang Chen, Na Zhao et al.
FROC: Building Fair ROC from a Trained Classifier
Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar
FairTP: A Prolonged Fairness Framework for Traffic Prediction
Jiangnan Xia, Yu Yang, Jiaxing Shen et al.
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang, Jinggang Chen, Xiaoyang Qu et al.
Privacy-and-Utility-Aware Publishing of Schedules
Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak et al.
Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks
Davide Bilò, Keerti Choudhary, Sarel Cohen et al.
Temporal Numeric Planning with Patterns
Matteo Cardellini, Enrico Giunchiglia
Approximating Optimal Labelings for Temporal Connectivity
Daniele Carnevale, Gianlorenzo D'Angelo, Martin Olsen
How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs
Argyrios Deligkas, Michelle Döring, Eduard Eiben et al.
Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
Joshua Holder, Natasha Jaques, Mehran Mesbahi
State Encodings for GNN-Based Lifted Planners
Rostislav Horčik, Gustav Šír, Vítězslav Šimek et al.
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
Kim van den Houten, Léon Planken, Esteban Freydell et al.
Multiple Mean-Payoff Optimization Under Local Stability Constraints
David Klaška, Antonín Kučera, Vojtěch Kůr et al.
ACPBench: Reasoning About Action, Change, and Planning
Harsha Kokel, Michael Katz, Kavitha Srinivas et al.
Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning
Alessandro La Farciola, Alessandro Valentini, Andrea Micheli
Told You That Will Not Work: Optimal Corrections to Planning Domains Using Counter-Example Plans
Songtuan Lin, Alban Grastien, Rahul Shome et al.
WEPO: Web Element Preference Optimization for LLM-based Web Navigation
Jiarun Liu, Jia Hao, Chunhong Zhang et al.
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning
Xiaotian Liu, Jihwan Jeong, Ayal Taitler et al.
Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight
Shaohui Pan, Yong Xu, Ruotao Xu et al.
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
Thomy Phan, Shao-Hung Chan, Sven Koenig
Parallel Greedy Best-First Search with a Bound on Expansions Relative to Sequential Search
Takumi Shimoda, Alex Fukunaga
Counting and Reasoning with Plans
David Speck, Markus Hecher, Daniel Gnad et al.
Inapproximability of Optimal Multi-Agent Pathfinding Problems
Xing Tan, Alban Grastien
Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation
Elisa Tosello, Alessandro Valentini, Andrea Micheli
Augmenting Online Algorithms for Knapsack Problem with Total Weight Information
Binghan Wu, Wei Bao, Bing Bing Zhou
Improved Approximation Algorithms for Clustered TSP and Subgroup Planning
Jingyang Zhao, Mingyu Xiao, Junqiang Peng et al.
A Matching-Based Algorithm for the Traveling Tournament Problem
Jingyang Zhao, Mingyu Xiao
Formal Quality Measures for Predictors in Markov Decision Processes
Christel Baier, Sascha Klüppelholz, Jakob Piribauer et al.
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
Taehun Cha, Donghun Lee
Toward Falsifying Causal Graphs Using a Permutation-Based Test
Elias Eulig, Atalanti A. Mastakouri, Patrick Blöbaum et al.
Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
Simon Ferreira, Charles K. Assaad
Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement
Wuliang Huang, Yiqiang Chen, Xinlong Jiang et al.
Mediation Analysis for Probabilities of Causation
Yuta Kawakami, Jin Tian
Flow Factorization for Efficient Generative Flow Networks
Jiashun Liu, Chunhui Li, Cheng-Hao Liu et al.
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects
Hisayoshi Nanmo, Manabu Kuroki
Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Resource Constrained Pathfinding with Enhanced Bidirectional A* Search
Saman Ahmadi, Andrea Raith, Guido Tack et al.
Scenario-Based Robust Optimization of Tree Structures
Spyros Angelopoulos, Christoph Dürr, Alex Elenter et al.
An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem
Baiyu Chen, Junwen Ding, Canhui Luo et al.
Fast and Slow Gradient Approximation for Binary Neural Network Optimization
Xinquan Chen, Junqi Gao, Biqing Qi et al.
Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition
Dogan Corus, Pietro S. Oliveto, Donya Yazdani
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
Arnaud Deza, Elias B. Khalil, Zhenan Fan et al.
Suboptimal Search with Dynamic Distribution of Suboptimality
Mohammadreza Hami, Nathan R. Sturtevant
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
Vu Viet Hoang, Quoc Anh Hoang Nguyen, Hung The Tran
Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels
Wenjing Hong
Faster Double Adaptive Gradient Methods
Feihu Huang, Yuning Luo
Searching for and Avoiding Hidden Sets Using Queries with Local Feedback
Tomasz Jurdzinski, Dariusz R. Kowalski
Anchor Search: A Unified Framework for Suboptimal Bidirectional Search
Sepehr Lavasani, Lior Siag, Shahaf S. Shperberg et al.
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game
Per Kristian Lehre, Shishen Lin
MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
Yanjie Li, Weijun Li, Lina Yu et al.
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
Yixuan Li, Can Chen, Jiajun Li et al.
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations
Heng Rao, Yu Gu, Jason Zipeng Zhang et al.
Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation
Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization
Ruihao Zheng, Zhenkun Wang
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem
Shipei Zhou, Yuandong Ding, Chi Zhang et al.
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets
Tomas Tokar, Scott Sanner
InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series
Viet-Hung Tran, Zichi Zhang, Tuan Dung Pham et al.
CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics
David Valencia, Henry Williams, Yuning Xing et al.
CODE: Confident Ordinary Differential Editing
Bastien Van Delft, Tommaso Martorella, Alexandre Alahi
Expressive Power of Temporal Message Passing
Przemysław Andrzej Wałęga, Michael Rawson
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt
Benfeng Wang, Chao Huang, Jie Wen et al.
IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
Bin Wang, Chunyu Xie, Dawei Leng et al.
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
Da Wang, Lin Li, Wei Wei et al.
Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery
Hao Wang, Biqin Song, Hao Deng et al.
IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork
Hui Wang, Renyu Yang, Jie Sun et al.
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint
Juncheng Wang, Bingjie Yan, Yituo Liu
SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation
Meng-zhu Wang
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
Mingzi Wang, Yuan Meng, Chen Tang et al.
Pre-Trained Vision-Language Models as Noisy Partial Annotators
Qian-Wei Wang, Yuqiu Xie, Letian Zhang et al.
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder
Qianqian Wang, Zihao Zhang, Wei Feng et al.
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
Qingmei Wang, Yuxin Wu, Yujie Long et al.
Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality
Qitong Wang, Tang Li, Kien X. Nguyen et al.
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement
Shanfeng Wang, Jianzhao Li, Zaitian Liu et al.
Text2Data: Low-Resource Data Generation with Textual Control
Shiyu Wang, Yihao Feng, Tian Lan et al.
Set-Valued Sensitivity Analysis of Deep Neural Networks
Xin Wang, Feilong Wang, Xuegang (Jeff) Ban
Quantum Best Arm Identification with Quantum Oracles
Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade et al.
Multi-label Self Knowledge Distillation
Xucong Wang, Pengkun Wang, Shurui Zhang et al.
Revisiting Projection-Free Online Learning with Time-Varying Constraints
Yibo Wang, Yuanyu Wan, Lijun Zhang
Dimension Reduction with Locally Adjusted Graphs
Yingfan Wang, Yiyang Sun, Haiyang Huang et al.
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
Zhiqiang Wang, Jiayu Guo, Jianqing Liang et al.
Generalization of Graph Neural Networks Is Robust to Model Mismatch
Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering
Zhongwen Wang, Xingfeng Li, Yinghui Sun et al.
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens
Zichen Wang, Feng Yan, Tianyi Wang et al.
Multi-Instance Multi-Label Classification from Crowdsourced Labels
Ziquan Wang, Mingxuan Xia, Xiangyu Ren et al.
FlexPose: Pose Distribution Adaptation with Limited Guidance
Zixiao Wang, Junwu Weng, Mengyuan Liu et al.
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
Kun Wei, Zhe Xu, Cheng Deng
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack
Qi Wei, Shuo He, Jiahan Zhang et al.
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
Yongyan Wen, Siyuan Li, Rongchang Zuo et al.
Measuring Cross-Modal Interactions in Multimodal Models
Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski et al.
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik et al.
Fully-Scalable Massively Parallel Algorithm for k-center with Outliers
Di Wu, Qilong Feng, Junyu Huang et al.
Revisiting Attention for Multivariate Time Series Forecasting
Haixiang Wu
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
Liang Wu, Ruixi Hu, Yunwen Lei
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs
Nannan Wu, Yazheng Zhao, Hongdou Dong et al.
Spiking Point Transformer for Point Cloud Classification
Peixi Wu, Bosong Chai, Hebei Li et al.
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
Siyuan Wu, Yongzhe Jia, Bowen Liu et al.
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering
Tingting Wu, Zhendong Li, Zhibin Gu et al.
Non-Convex Tensor Recovery from Local Measurements
Tongle Wu, Ying Sun, Jicong Fan
Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting
Yuhan Wu, Xiyu Meng, Huajin Hu et al.
ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction
Zhixiao Wu, Yao Lu, Jie Wen et al.
Hierarchical Consensus Network for Multiview Feature Learning
Chengwei Xia, Chaoxi Niu, Kun Zhan
Clean-Label Graph Backdoor Attack in the Node Classification Task
Hui Xia, Xiangwei Zhao, Rui Zhang et al.
FIND: A Framework for Discovering Formulas in Data
Tingxiong Xiao, Yuxiao Cheng, Jinli Suo
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework
Wei Xiao, Hongbin Wang, Ming He et al.
Multi-Subspace Matrix Recovery from Permuted Data
Liangqi Xie, Jicong Fan
One Node One Model: Featuring the Missing-Half for Graph Clustering
Xuanting Xie, Bingheng Li, Erlin Pan et al.
Flexible Sharpness-Aware Personalized Federated Learning
Xinda Xing, Qiugang Zhan, Xiurui Xie et al.
Pilot: Building the Federated Multimodal Instruction Tuning Framework
Baochen Xiong, Xiaoshan Yang, Yaguang Song et al.
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
Haonan Xu, Yang Yang
Textualize Visual Prompt for Image Editing via Diffusion Bridge
Pengcheng Xu, Qingnan Fan, Fei Kou et al.
Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints
Qinfu Xu, Yiwei Wei, Chunlei Wu et al.
Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?
Yanchen Xu, Siqi Huang, Hongyuan Zhang et al.
Clustering by Mining Density Distributions and Splitting Manifold Structure
Zhichang Xu, Zhiguo Long, Hua Meng
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
Bo Xue, Xi Lin, Xiaoyuan Zhang et al.
Adaptive Market Making with Inventory Constraints via Online Learning
Shan Xue, Ye Du, Liang Xu
Tensorized Label Learning Based Fast Fuzzy Clustering
Xingyu Xue, Jingjing Xue, Quanxue Gao et al.
Explanation Bottleneck Models
Shin'ya Yamaguchi, Kosuke Nishida
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
Guochen Yan, Luyuan Xie, Xinyi Gao et al.
Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport
Yuguang Yan, Canlin Yang, Yuanlin Chen et al.
Structured IB: Improving Information Bottleneck with Structured Feature Learning
Hanzhe Yang, Youlong Wu, Dingzhu Wen et al.
Bridging Sequence-Structure Alignment in RNA Foundation Models
Heng Yang, Renzhi Chen, Ke Li
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios
Huanhuan Yang, Dianxi Shi, Songchang Jin et al.
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset
Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination
Kaicheng Yang, Tiancheng Gu, Xiang An et al.
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology
Liang Yang, Zhenna Li, Jiaming Zhuo et al.
A Generalizable Anomaly Detection Method in Dynamic Graphs
Xiao Yang, Xuejiao Zhao, Zhiqi Shen
Defying Imbalanced Forgetting in Class Incremental Learning
Shixiong Xu, Gaofeng Meng, Xing Nie et al.
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection
Li Xiang, Junbo Yin, Wei Li et al.
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
Hongzhi Gao, Zheng Chen, Zehui Chen et al.
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Xu Cai, Jonathan Scarlett
Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption
Ziteng Cui, Lin Gu, Xiao Sun et al.