Most Cited AAAI "task structure encoding" Papers

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs

Junjie Huang, Jiarui Qin, Yong Yu et al.

Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance

Duc-Hai Pham, Duc-Dung Nguyen, Anh Pham et al.

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization

Jin Liu, Xiaokang Pan, Junwen Duan et al.

VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence

Hao Li, Hao Fei, Zechao Hu et al.

Correcting Large Language Model Behavior via Influence Function

Han Zhang, Zhuo Zhang, Yi Zhang et al.

Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection

Ziyi Zhou, Xiaoming Zhang, Shenghan Tan et al.

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward

Dapeng Zhi, Peixin Wang, Cheng Chen et al.

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation

Shi-Feng Peng, Guolei Sun, Yong Li et al.

Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation

Jinda Xu, Yuhao Song, Daming Wang et al.

Proxyformer: Nystrom-Based Linear Transformer with Trainable Proxy Tokens

SangHo Lee, Hayun Lee, Dongkun Shin

Single Image Rolling Shutter Removal with Diffusion Models

Zhanglei Yang, Haipeng Li, Mingbo Hong et al.

Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies

Hyunchai Jeong, Adiba Ejaz, Jin Tian et al.

HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation

Taeri Kim, Jiho Heo, Hyunjoon Kim et al.

MHBench: Demystifying Motion Hallucination in VideoLLMs

Ming Kong, Xianzhou Zeng, Luyuan Chen et al.

Robustly Train Normalizing Flows via KL Divergence Regularization

Kun Song, Ruben Solozabal Ochoa de Retana, Hao Li et al.

Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization

Pedro Orvalho, Mikoláš Janota, Vasco M. Manquinho

12087 Limitations of Face Image Generation

Harrison Rosenberg, Shimaa Ahmed, Guruprasad Ramesh et al.

Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI

Qinqian Lei, Bo Wang, Robby T. Tan

Debiased Distillation for Consistency Regularization

Lu Wang, Liuchi Xu, Xiong Yang et al.

Search Strategy Generation for Branch and Bound Using Genetic Programming

Gwen Maudet, Grégoire Danoy

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control

Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang et al.

Enhancing Multi-Label Classification via Dynamic Label-Order Learning

Jiangnan Li, Yice ZHANG, Shiwei Chen et al.

Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge

Meshal Alharbi, Mardavij Roozbehani, Munther Dahleh

Probabilistic Shielding for Safe Reinforcement Learning

Edwin Hamel-De le Court, Francesco Belardinelli, Alexander W. Goodall

EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction

Chengjie Ge, Xueyang Fu, Peng He et al.

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

Out-of-Distribution Detection with Prototypical Outlier Proxy

Mingrong Gong, Chaoqi Chen, Qingqiang Sun et al.

Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples

Yeyuan Wang, Dehong Gao, Lei Yi et al.

BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion

Yuming Qiao, Fanyi Wang, Jingwen Su et al.

PlanLLM: Video Procedure Planning with Refinable Large Language Models

Dejie Yang, Zijing Zhao, Yang Liu

HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting

Changyuan Tian, Zhicong Lu, Zequn Zhang et al.

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset

Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.

Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration

Yunshuai Zhou, Junbo Qiao, Jincheng Liao et al.

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring

Peng TANG, Zhiqiang Xu, Chunlai Zhou et al.

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification

Weigang Lu, Ziyu Guan, Wei Zhao et al.

DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions

Jingyu Zhang, Yilei Wang, Lang Qian et al.

Imitation of Life: A Search Engine for Biologically Inspired Design

Hen Emuna, Nadav Borenstein, Xin Qian et al.

WEPO: Web Element Preference Optimization for LLM-based Web Navigation

Jiarun Liu, Jia Hao, Chunhong Zhang et al.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation

Weinan He, Zilei Wang, Yixin Zhang

Backward Responsibility in Transition Systems Using General Power Indices

Christel Baier, Roxane van den Bossche, Sascha Klüppelholz et al.

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Li Sun, Ziheng Zhang, Zixi Wang et al.

PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium

Xinzhe Li, Jiahui Zhan, Shengfeng He et al.

Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding

Yueqian Wang, Xiaojun Meng, Yuxuan Wang et al.

HoneypotNet: Backdoor Attacks Against Model Extraction

Yixu Wang, Tianle Gu, Yan Teng et al.

BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement

Cunhang Fan, Enrui Liu, Andong Li et al.

Adaptive Dual-domain Learning for Underwater Image Enhancement

Lintao Peng, Liheng Bian

Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation

Guanzhong Zeng, Jingjing Wang, Zefu Xu et al.

Bridging Sequence-Structure Alignment in RNA Foundation Models

Heng Yang, Renzhi Chen, Ke Li

Benchmarking and Understanding Compositional Relational Reasoning of LLMs

Ruikang Ni, Da Xiao, Qingye Meng et al.

Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior

Qihang Fang, Yafei Song, Keqiang Li et al.

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning

Naheed Anjum Arafat, Debabrota Basu, Yulia Gel et al.

PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs

Deividas Eringis, John Leth, Zheng-Hua Tan et al.

Semantic-Aware Data Augmentation for Text-to-Image Synthesis

Zhaorui Tan, Xi Yang, Kaizhu Huang

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems

Haoxiang Tian, Xingshuo Han, Guoquan Wu et al.

Enhancing Robustness in Incremental Learning with Adversarial Training

Seungju Cho, Hongsin Lee, Changick Kim

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures

Shreya Shukla, Nakul Sharma, Manish Gupta et al.

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.

Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation

Zhiqi Yu, Zhichao Liao, Jingjing Li et al.

Robust SAM: On the Adversarial Robustness of Vision Foundation Models

Jiahuan Long, Zhengqin Xu, Tingsong Jiang et al.

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning

Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon et al.

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces

Xiaotian Hao, Jianye Hao, Chenjun Xiao et al.

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness

Qingqiang Sun, Chaoqi Chen, Ziyue Qiao et al.

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

Qi Zhang, Yi Zhou, Ashley Prater-Bennette et al.

DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning

Won-Seok Choi, Hyundo Lee, Dong-Sig Han et al.

Disentangling Tabular Data Towards Better One-Class Anomaly Detection

Jianan Ye, Zhaorui Tan, Yijie Hu et al.

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems

Joshua Holder, Natasha Jaques, Mehran Mesbahi

DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning

Yukun Cao, LIsheng Wang, Luobin Huang

Defying Imbalanced Forgetting in Class Incremental Learning

Shixiong Xu, Gaofeng Meng, Xing Nie et al.

DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction

Weijun Chen, Yanze Wang

Hierarchical Consensus Network for Multiview Feature Learning

Chengwei Xia, Chaoxi Niu, Kun Zhan

Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks

Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen et al.

Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks

Yijiong Yu, Yongfeng Huang, Zhixiao Qi et al.

DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya et al.

Generalization Analysis for Deep Contrastive Representation Learning

Nong Minh Hieu, Antoine Ledent, Yunwen Lei et al.

Improving Factual Error Correction by Learning to Inject Factual Errors

Xingwei He, Qianru Zhang, A-Long Jin et al.

Relational Neurosymbolic Markov Models

Lennert De Smet, Gabriele Venturato, Luc De Raedt et al.

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing

Yaohui Ma, Xiaopeng Hong, Shizhou Zhang et al.

Realistic Noise Synthesis with Diffusion Models

Qi Wu, Mingyan Han, Ting Jiang et al.

Generalization of Graph Neural Networks Is Robust to Model Mismatch

Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro

AgentMixer: Multi-Agent Correlated Policy Factorization

Zhiyuan Li, Wenshuai Zhao, Lijun Wu et al.

DeepSN: A Sheaf Neural Framework for Influence Maximization

Asela Hevapathige, Qing Wang, Ahad N. Zehmakan

A General Theoretical Framework for Learning Smallest Interpretable Models

Sebastian Ordyniak, Giacomo Paesani, Mateusz Banany et al.

A Similarity Paradigm Through Textual Regularization Without Forgetting

Fangming Cui, Jan Fong, Rongfei Zeng et al.

BVT-IMA: Binary Vision Transformer with Information-Modified Attention

Zhenyu Wang, Hao Luo, Xuemei Xie et al.

A Practical Approach to Causal Inference over Time

Martina Cinquini, Isacco Beretta, Salvatore Ruggieri et al.

Enhancing Implicit Neural Representations via Symmetric Power Transformation

Weixiang Zhang, Shuzhao Xie, Chengwei Ren et al.

Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction

K. Chan, Fayao Liu, Guosheng Lin et al.

Learning Multi-Object Positional Relationships via Emergent Communication

Yicheng Feng, Boshi An, Zongqing Lu

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner

Aizierjiang Aiersilan

Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype

Yanhe Liu, Peng Wang, Ke Wenjun et al.

Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection

Meng Xing, Zhiyong Feng, Yong Su et al.

Relational Distant Supervision for Image Captioning without Image-Text Pairs

Yayun Qi, Wentian Zhao, Xinxiao Wu

ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters

Xunzhi Xiang, Haiwei Xue, Zonghong Dai et al.

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data

Xin Zou, Weiwei Liu

Max-Mahalanobis Anchors Guidance for Multi-View Clustering

Pei Zhang, Yuangang Pan, Siwei Wang et al.

Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval

Jian Xiao, Zhenzhen Hu, Jia Li et al.

SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations

Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng et al.

Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization

Zeqin Yu, Jiangqun Ni, Jian Zhang et al.

Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval

Wenrui Li, Wei Han, Yandu Chen et al.

Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering

Hao Lu, Yunpeng Zhang, Guoqing Wang et al.

SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos

Yingying Jiao, Zhigang Wang, Sifan Wu et al.

Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference

Dongyan Huo, Yudong Chen, Qiaomin Xie

Delay as Payoff in MAB

Ofir Schlisselberg, Ido Cohen, Tal Lancewicki et al.

Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks

Bo Li, Wei Ye, Quansen Wang et al.

MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components

Min Wang, Xin Li, Leiji Zhang et al.

No Head Left Behind – Multi-Head Alignment Distillation for Transformers

Tianyang Zhao, Kunwar Singh, Srikar Appalaraju et al.

AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation

Haojin Li, Heng Li, Jianyu Chen et al.

Explanation Bottleneck Models

Shin'ya Yamaguchi, Kosuke Nishida

UniCell: Universal Cell Nucleus Classification via Prompt Learning

Junjia Huang, Haofeng Li, Xiang Wan et al.

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training

Xi Chen, Chang Gao, Zuowen Wang et al.

CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection

Shiyuan Ma, Donglin Qian, Kai Ye et al.

Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency

Yuhong Chen, Ailin Song, Huifeng Yin et al.

Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach

Guixu Lin, Muyao Niu, Qingtian Zhu et al.

Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics

Xueyuan Yang, Chao Yao, Xiaojuan Ban

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms

Jianqi Gao, Jian Cao, Ranran Bu et al.

s-ID: Causal Effect Identification in a Sub-population

Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash

DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation

Wenwen Gong, Yangliao Geng, Dan Zhang et al.

Unravelling Expressive Delegations: Complexity and Normative Analysis

Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind

Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments

Churan Zhi, Junbao Zhuo, Shuhui Wang

A Graph Dynamics Prior for Relational Inference

Liming Pan, Cheng Shi, Ivan Dokmanic

Learning Diffusions under Uncertainty

Hao Huang, Qian Yan, Keqi Han et al.

AIM: Additional Image Guided Generation of Transferable Adversarial Attacks

Teng Li, Xingjun Ma, Yu-Gang Jiang

Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes

Ke Wu, Kaizhao Zhang, Mingzhe Gao et al.

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

Colin Sullivan, Mo Tiwari, Sebastian Thrun

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs

Chuancheng Song, Xixun Lin, Hanyang Shen et al.

User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization

Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah et al.

KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits

Xia Li, Wenjing Pan

DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning

Chengtai Li, Yee Yang Tan, Yuting He et al.

Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks

Thomas Krapf, Michael Hagn, Paul Miethaner et al.

ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques

Junhao Liu, Xin Zhang

Multiobjective Lipschitz Bandits under Lexicographic Ordering

Bo Xue, Ji Cheng, Fei Liu et al.

Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources

Zhanbo Shi, Lin Zhang, Linfei Li et al.

SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition

Haoran Zhang, Xiangdong Su, Xingxiang Zhou et al.

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection

Yue Hou, He Zhu, Ruomei Liu et al.

ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking

Rong Li, Tao Deng, Siwei Feng et al.

Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation

Tao Liu, Rongjie Li, Chongyu Wang et al.

Visual Reinforcement Learning with Residual Action

Zhenxian Liu, Peixi Peng, Yonghong Tian

RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation

Zijin Liu, Xiang Zhao, You Song

Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors

Jinhyeok Choi, Heehyeon Kim, Joyce Jiyoung Whang

Backdoor Attack on Propagation-based Rumor Detectors

Di Jin, Yujun Zhang, Bingdao Feng et al.

CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation

Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin et al.

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification

Zijie Zhou, Zhaoqi Lu, Xuekai Wei et al.

NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation

Wei Xie, Haobo Jiang, Yun Zhu et al.

Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding

Wenbo Zhang, Lu Zhang, Ping Hu et al.

Improved Maximin Share Approximations for Chores by Bin Packing

Jugal Garg, Xin Huang, Erel Segal-Halevi

Explaining Decisions of Agents in Mixed-Motive Games

Maayan Orner, Oleg Maksimov, Akiva Kleinerman et al.

Stable Model Semantics for Description Logic Terminologies

Federica Di Stefano, Mantas Simkus

Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval

Yan Fang, Qingyao Ai, Jingtao Zhan et al.

Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks

Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo et al.

GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation

Xu Wang, Zilei Wang, Zihan Lin

SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection

Jiahao Wang, Caixia Yan, Weizhan Zhang et al.

Optimal Bounds for Dissatisfaction in Perpetual Voting

Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

Yiwei Lyu, Sung Jik Cha, Cheng Jiang et al.

Scaling Few-Shot Learning for the Open World

Zhipeng Lin, Wenjing Yang, Haotian Wang et al.

MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models

Yangyu Wu, Xu Han, Wei Song et al.

Black-Box Test-Time Prompt Tuning for Vision-Language Models

Fan'an Meng, Chaoran Cui, Hongjun Dai et al.

TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification

Xiao Wang, Lekai Liu, Bin Yang et al.

Unsupervised Domain Adaptive Person Search via Dual Self-Calibration

Linfeng Qi, Huibing Wang, Jiqing Zhang et al.

SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing

Chen Chen, Liangjin Zhao, Yuanchun He et al.

Enhancing Masked Time-Series Modeling via Dropping Patches

Tianyu Qiu, Yi Xie, Hao Niu et al.

Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates

Baozhen Wang, Xingye Qiao

Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail

Yina He, Lei Peng, Yongcun Zhang et al.

Social Recommendation via Graph-Level Counterfactual Augmentation

Yinxuan Huang, Ke Liang, Yanyi Huang et al.

Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation

Paulo Cavalin, Pedro H. Domingues, Claudio Pinhanez

Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined

Shizhe Hu, Binyan Tian, Weibo Liu et al.

Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests

Kristin Blesch, Niklas Koenen, Jan Kapar et al.

k-HyperEdge Medoids for Clustering Ensemble

Feijiang Li, Jieting Wang, Liuya Zhang et al.

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.

Hypercorrelation Evolution for Video Class-Incremental Learning

Sen Liang, Kai Zhu, Wei Zhai et al.

Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT

Shuolin Li, Chu-Min Li, Jordi Coll et al.

Higher Order Structures for Graph Explanations

Akshit Sinha, Sreeram Vennam, Charu Sharma et al.

RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks

Ziyi Hu, Jun Liu, Zhongzhi Liu et al.

Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework

Guiyu Zhao, Zhentao Guo, Zewen Du et al.

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound

Yun Liao, Junfan Li, Shizhong Liao et al.

Enhancing SQL Query Generation with Neurosymbolic Reasoning

Henrijs Princis, Cristina David, Alan Mycroft

PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer

Wenting Cui, Runzhao Yao, Shaoyi Du

Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities

Shanyuan Liu, Bo Cheng, Yuhang Ma et al.

Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts

Yunpeng Song, Jiawei Li, Yiheng Bian et al.

Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English

Avinash Anand, Kritarth Prasad, Chhavi Kirtani et al.

What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer

Chaeyeon Chung, Sunghyun Park, Jeongho Kim et al.

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data

Zhenyu Lei, Yushun Dong, Jundong Li et al.

Enhancing Portuguese Variety Identification with Cross-Domain Approaches

Hugo Sousa, Rúben Almeida, Purificação Silvano et al.

A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation

Feilong Xu, Feiyang Yang, Xiongfei Li et al.

Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation

Zichen Luo, Xinshan Zhu, Lan Zhang et al.

Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning

Dunqiang Liu, Shujun Huang, Wen Li et al.

Personalized Reinforcement Learning with a Budget of Policies

Dmitry Ivanov, Omer Ben-Porat

The Value of Recall in Extensive-Form Games

Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides et al.

Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay

Ruiheng Liu, Jinyu Zhang, Yanqi Song et al.

HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning

Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon et al.

HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval

Chihan Huang, Xiaobo Shen

Distribution-Consistency-Guided Multi-modal Hashing

Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che et al.

Layer-Wise Representation Fusion for Compositional Generalization

Yafang Zheng, Lei Lin, Shuangtao Li et al.

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks

Chen Feng, Ziquan Liu, Zhuo Zhi et al.

Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising

Zikuan Li, Qiaoyun Wu, Jialin Zhang et al.

DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection

Tao Dai, Yang Lin, Hang Guo et al.

Continuous-Time Graph Representation with Sequential Survival Process

Abdulkadir Celikkanat, Nikolaos Nakis, Morten Mørup

Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems

Jiaqian Li, Minming Li, Hau Chan

Plug-and-Play Tri-Branch Invertible Block for Image Rescaling

Jingwei Bao, Jinhua Hao, Pengcheng Xu et al.

Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces

Yinxu Tang, Stylianos Loukas Vasileiou, William Yeoh