Most Cited AAAI Paper Papers

MDFL: Multi-Domain Diffusion-Driven Feature Learning

Daixun Li, Weiying Xie, Jiaqing Zhang et al.

DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification

Tony Alex, Sara Ahmed, Armin Mustafa et al.

Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors

Junren CHEN, Zhaoqiang Liu

Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation

Lianggangxu Chen, Youqi Song, Yiqing Cai et al.

FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields

GeonU Kim, Kim Youwang, Tae-Hyun Oh

Divide and Conquer: Hybrid Pre-training for Person Search

Yanling Tian, Di Chen, Yunan Liu et al.

Analytically Tractable Models for Decision Making under Present Bias

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective

Qirui Ji, Jiangmeng Li, Jie Hu et al.

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

Cedric Derstroff, Jannis Brugger, Mattia Cerrato et al.

MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation

Nhat Hoang, Kehong Gong, Chuan Guo et al.

PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment

Zewen Zheng, Xuemin Zhang, Yongqiang Mou et al.

HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

Jiaxin Pan, Mojtaba Nayyeri, Yinan Li et al.

CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM

Xiaohan Li, Dong Liu, Jun Wu

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning

Dashan Gao, Sheng Wan, Lixin Fan et al.

Structure-Aware Multimodal Sequential Learning for Visual Dialog

Youngjin Kim, Min-Jun Kim, Kyunghwan An et al.

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability

Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee

Content Filtering with Inattentive Information Consumers

Justin Grana, Alex Slivkins, Brendan Lucier et al.

Optimal Quasi-clique: Hardness, Equivalence with Densest-$k$-Subgraph, and Quasi-partitioned Community Mining

Aritra Konar, Nicholas Sidiropoulos

Learning Real-World Image De-weathering with Imperfect Supervision

Xiaohui Liu, Zhilu Zhang, Xiaohe Wu et al.

A Computation-Aware Shape Loss Function for Point Cloud Completion

Shunran Zhang, Xiubo Zhang, Tsz Nam Chan et al.

Towards Molecular Structure Discovery from Cryo-ET Density Volumes via Modelling Auxiliary Semantic Prototypes

Ashwin Nair, Xingjian Li, Mostofa Rafid Uddin et al.

Finding Interpretable Class-Specific Patterns through Efficient Neural Search

Nils Philipp Walter, Jonas Fischer, Jilles Vreeken

Adversarial Purification with the Manifold Hypothesis

Zhaoyuan Yang, Zhiwei Xu, Jing Zhang et al.

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

Cheng Tan, Zhangyang Gao, Lirong Wu et al.

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers

Sungmin Cha, Sungjun Cho, Dasol Hwang et al.

Rethinking Propagation for Unsupervised Graph Domain Adaptation

Meihan Liu, Zeyu Fang, Zhen Zhang et al.

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning

Yi Cheng, Renjun Hu, Haochao Ying et al.

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization

Yuanzhao Zhai, Yiying Li, Zijian Gao et al.

Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing

Qihua Chen, Xuejin Chen, Chenxuan Wang et al.

One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training

Lianbo Ma, Yuee Zhou, Jianlun Ma et al.

VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models

Ziyi Yin, Muchao Ye, Tianrong Zhang et al.

Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy

Xiao Yun, Chenglong Xu, Kevin Riou et al.

When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection

HOP to the Next Tasks and Domains for Continual Learning in NLP

Umberto Michieli, Mete Ozay

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation

Chenglong Wang, Hang Zhou, Yimin Hu et al.

780 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization

Jiaying Zhu, Dong Li, Xueyang Fu et al.

Neural Oscillators for Generalization of Physics-Informed Machine Learning

Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky et al.

Maximizing Nash Social Welfare under Two-Sided Preferences

Pallavi Jain, Rohit Vaish

KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding

Xiao Long, Liansheng Zhuang, Aodi Li et al.

Finding Visual Saliency in Continuous Spike Stream

Lin Zhu, Xianzhang Chen, Xiao Wang et al.

On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design

Ziqiao Ao, Jinglai Li

Fine-Grained Distillation for Long Document Retrieval

Yucheng Zhou, Tao Shen, Xiubo Geng et al.

Let There Be Sound: Reconstructing High Quality Speech from Silent Videos

Ji-Hoon Kim, Jaehun Kim, Joon Son Chung

ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation

Siyuan Bian, Jiefeng Li, Jiasheng Tang et al.

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems

Junhao Shen, Hong Qian, Wei Zhang et al.

Bi-directional Adapter for Multimodal Tracking

Bing Cao, Junliang Guo, Pengfei Zhu et al.

Multi-Constellation-Inspired Single-Shot Global LiDAR Localization

Tongzhou Zhang, Gang Wang, Yu Chen et al.

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation

Gaoge Han, Shaoli Huang, Mingming Gong et al.

IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning

Stratified GNN Explanations through Sufficient Expansion

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection

The Complexity of Fair Division of Indivisible Items with Externalities

Argyrios Deligkas, Eduard Eiben, Viktoriia Korchemna et al.

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding

Taolin Zhang, Sunan He, Tao Dai et al.

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning

Wenhai Wan, Shao-Yuan Li, Xinrui Wang et al.

Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting

Lingdong Shen, Chunlei Huo, Nuo Xu et al.

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient

Xingzhou Lou, Junge Zhang, Timothy Norman et al.

MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution

Shuying Huang, Ge Chen, Yong Yang et al.

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI

Malek Mechergui, Sarath Sreedharan

Forced Exploration in Bandit Problems

Qi Han, Li Zhu, Fei Guo

Optimal Attack and Defense for Reinforcement Learning

Jeremy McMahan, Young Wu, Xiaojin Zhu et al.

Decomposing Constraint Networks for Calculating c-Representations

Marco Wilhelm, Gabriele Kern-Isberner

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning

Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang et al.

StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography

Xiao Ke, Huanqi Wu, Wenzhong Guo

BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios

ZhiWei Lin, Yongtao Wang, Shengxiang Qi et al.

Ghost Noise for Regularizing Deep Neural Networks

Atli Kosson, Dongyang Fan, Martin Jaggi

TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training

Yuqi Lin, Minghao Chen, Kaipeng Zhang et al.

Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning

Shuning Xu, Binbin SONG, Xiangyu Chen et al.

Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis

Zhaoxin Fan, Longbin Ji, Pengxin Xu et al.

Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects

Jian Hu, Jiayi Lin, Shaogang Gong et al.

On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning

Jiayi Chen, Aidong Zhang

Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning

Shuai Shao, Yu Bai, Yan Wang et al.

Using Artificial Populations to Study Psychological Phenomena in Neural Models

Jesse Roberts, Kyle Moore, Drew Wilenzick et al.

Amalgamating Multi-Task Models with Heterogeneous Architectures

Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong et al.

Generating Universal Adversarial Perturbations for Quantum Classifiers

Gautham Anil, Vishnu Vinod, Apurva Narayan

Low-Distortion Clustering with Ordinal and Limited Cardinal Information

Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs et al.

Object Attribute Matters in Visual Question Answering

Peize Li, Qingyi Si, Peng Fu et al.

ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing

Zhi Jin, Sheng Xu, Xiang Zhang et al.

Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures

Gwangpyo Yoo, Jinwoo Park, Honguk Woo

DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation

Zihui Gu, Xingwu Sun, Fengzong Lian et al.

Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following

Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang et al.

Rethinking Causal Relationships Learning in Graph Neural Networks

Hang Gao, Chengyu Yao, Jiangmeng Li et al.

MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships

Tanglong Zhao, Ruifang He, Jing Xu et al.

Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding

Alexey Skrynnik, Anton Andreychuk, Konstantin Yakovlev et al.

Towards Learning and Explaining Indirect Causal Effects in Neural Networks

Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak et al.

Limited-Supervised Multi-Label Learning with Dependency Noise

Yejiang Wang, Yuhai Zhao, Zhengkui Wang et al.

Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning

Jiamin Wu, Xin Liu, Xiaotian Yin et al.

Adaptive Shortcut Debiasing for Online Continual Learning

Doyoung Kim, Dongmin Park, Yooju Shin et al.

Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model

Lingjun Zhang, Xinyuan Chen, Yaohui Wang et al.

RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates

Jun Sun, Xinxin Zhang, Shoukang Han et al.

Discovering Sequential Patterns with Predictable Inter-event Delays

Joscha Cüppers, Paul Krieger, Jilles Vreeken

TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization

Andrei Ivanov, Stefan Ailuro

Memory-Efficient Reversible Spiking Neural Networks

Hong Zhang, Yu Zhang

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning

Ling Ge, Chunming Hu, Guanghui Ma et al.

Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories

Andoni Rodríguez, César Sánchez

Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing

Hao Li, Mengqi Huang, Lei Zhang et al.

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

Ji Cheng, Bo Xue, Jiaxiang Yi et al.

Automated Design of Affine Maximizer Mechanisms in Dynamic Settings

Michael Curry, Vinzenz Thoma, Darshan Chakrabarti et al.

Unifying Decision and Function Queries in Stochastic Boolean Satisfiability

Yu-Wei Fan, Jie-Hong Jiang

Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals

Shaoheng Fang, Zuhong Liu, Mingyu Wang et al.

LLMEval: A Preliminary Study on How to Evaluate Large Language Models

Yue Zhang, Ming Zhang, HaiPeng Yuan et al.

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation

Huankang Guan, Rynson W.H. Lau

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Jiayuan Chen, Kehan Guo, Zhen Liu et al.

How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection

Yiyang Yao, Peng Liu, Tiancheng Zhao et al.

MuST: Robust Image Watermarking for Multi-Source Tracing

Guanjie Wang, Zehua Ma, Chang Liu et al.

Evolving Parameterized Prompt Memory for Continual Learning

Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma et al.

Understanding and Leveraging the Learning Phases of Neural Networks

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning

Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl et al.

I-rebalance: Personalized Vehicle Repositioning for Supply Demand Balance

Haoyang Chen, Peiyan Sun, Qiyuan Song et al.

SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection

Yun Zhu, Le Hui, Yaqi Shen et al.

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

Guangfeng Jiang, Jun Liu, Yuzhi Wu et al.

Feature Transportation Improves Graph Neural Networks

Moshe Eliasof, Eldad Haber, Eran Treister

UFDA: Universal Federated Domain Adaptation with Practical Assumptions

Xinhui Liu, Zhenghao Chen, Luping Zhou et al.

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks

Yongqi Ding, Lin Zuo, Mengmeng Jing et al.

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder

Qiang Zhou, Xinjiang Lu, Jingjing Gu et al.

Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition

Ling Ge, Chunming Hu, Guanghui Ma et al.

Urban Region Embedding via Multi-View Contrastive Prediction

Zechen Li, Weiming Huang, Kai Zhao et al.

Disjoint Partial Enumeration without Blocking Clauses

Giuseppe Spallitta, Roberto Sebastiani, Armin Biere

Online Submodular Maximization via Online Convex Optimization

Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou et al.

GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following

Jigyasa Gupta, Shreya Sharma, Shreshth Tuli et al.

Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation

MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts

Haoqiang Guo, Sendong Zhao, Haochun Wang et al.

CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series

Yuxiao Cheng, Lianglong Li, Tingxiong Xiao et al.

A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming

Zeynep G. Saribatur, Stefan Woltran

Hypergraph Neural Architecture Search

Wei Lin, Xu Peng, Zhengtao Yu et al.

Boosting Few

Shot Learning via Attentive Feature Regularization - Xingyu Zhu, Shuo Wang, Jinda Lu et al.

MICA: Towards Explainable Skin Lesion Diagnosis via Multi

Level Image-Concept Alignment - Yequan Bie, Luyang Luo, Hao Chen

Kumaraswamy Wavelet for Heterophilic Scene Graph Generation

Lianggangxu Chen, Youqi Song, Shaohui Lin et al.

Efficient Online Crowdsourcing with Complex Annotations

Reshef Meir, Viet-An Nguyen, Xu Chen et al.

Semantic-Guided Novel Category Discovery

Weishuai Wang, Ting Lei, Qingchao Chen et al.

Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications

Poonam Goyal, Arshveer Kaur, Arvind Ram et al.

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks

Renhong Huang, Jiarong Xu, Xin Jiang et al.

Continual Relation Extraction via Sequential Multi-Task Learning

Thanh-Thien Le, Manh Nguyen, Tung Nguyen et al.

Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation

Xiang Gao, Zhengbo Xu, junhan Zhao et al.

Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation

CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent

TexFit: Text-Driven Fashion Image Editing with Diffusion Models

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning

Xianjie Guo, Kui Yu, Lin Liu et al.

Barely Supervised Learning for Graph-Based Fraud Detection

Hang Yu, Zhengyang Liu, Xiangfeng Luo

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation

Di Mi, Yanjun Zhang, Leo yu Zhang et al.

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images

Qingping Zheng, Yuanfan Guo, Jiankang Deng et al.

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks

Xiaofan Que, Qi Yu

Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling

Xinhao Tao, Junyan Cao, Yan Hong et al.

Data Augmented Graph Neural Networks for Personality Detection

Yangfu Zhu, Yue Xia, Meiling Li et al.

An Effective Polynomial Technique for Compiling Conditional Effects Away

Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala

Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking

Mingzhan Yang, Guangxin Han, Bin Yan et al.

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection

Rundong He, Yue Yuan, Zhongyi Han et al.

Generative Multi-Modal Knowledge Retrieval with Large Language Models

Xinwei Long, Jiali Zeng, Fandong Meng et al.

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu et al.

High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction

Boyu Zhang, Hongliang Yuan

Real3D the Curious Case of Neural Scene Degeneration

Dengsheng Chen, Jie Hu, Xiaoming Wei et al.

External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection

Biwei Cao, Qihang Wu, Jiuxin Cao et al.

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers

Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos et al.

Frequency Shuffling and Enhancement for Open Set Recognition

Lijun Liu, Rui Wang, Yuan Wang et al.

From Past to Future: Rethinking Eligibility Traces

Dhawal Gupta, Scott Jordan, Shreyas Chaudhari et al.

Temporal-Distributed Backdoor Attack against Video Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang et al.

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation

Junao Shen, Kun Kuang, Jiaheng Wang et al.

Detection and Defense of Unlearnable Examples

Yifan Zhu, lijia Yu, Xiao-Shan Gao

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Zhichen Zeng, Boxin Du, Si Zhang et al.

Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm

Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou et al.

Robust Visual Imitation Learning with Inverse Dynamics Representations

Siyuan Li, Xun Wang, Rongchang Zuo et al.

Formal Logic Enabled Personalized Federated Learning through Property Inference

Ziyan An, Taylor Johnson, Meiyi Ma

Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption

Adil Nawaz, Guopeng Chen, Muhammad Umair Raza et al.

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior

Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee

Taming Binarized Neural Networks and Mixed-Integer Programs

Johannes Aspman, Georgios Korpas, Jakub Marecek

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective

Binwu Wang, Pengkun Wang, Yudong Zhang et al.

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Jiwoo Son, Minsu Kim, Sanghyeok Choi et al.

DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing

Conglong Li, Zhewei Yao, Xiaoxia Wu et al.

Principal-Agent Reward Shaping in MDPs

Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz et al.

Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Mixed-Effects Contextual Bandits

Weiwei Xiao, Yongyong Chen, Qiben Shan et al.

Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model

Zhenyu Xie, Yang Wu, Xuehao Gao et al.

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

Zijin Liu, Xiang Zhao, You Song

SIGMA: Selective Gated Mamba for Sequential Recommendation

Ziwei Liu, Qidong Liu, Yejing Wang et al.

Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection

Jitao Ma, Weiying Xie, Hangyu Ye et al.

Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression

Co Tran, Quoc-Bao Tran, Hy Truong Son et al.

Motif-aware Graph Neural Networks for Networked Time Series Imputation

Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme

LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs

Kai Chen, Xin Song, Ye Wang et al.

Augmenting Sequential Recommendation with Balanced Relevance and Diversity

Yizhou Dang, Jiahui Zhang, Yuting Liu et al.

Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System

Feng Gao, Xin Zhou, Yinning Shao et al.

Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

Qiang Gao, Zizheng Wang, Li Huang et al.

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation

Chendi Ge, Xin Wang, Ziwei Zhang et al.

DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models

Wei Guan, Jian Cao, Jianqi Gao et al.

Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation

Yajie Liu, Guodong Wang, Jinjin Zhang et al.

Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning

Chengkai Han, Jingyuan Wang, Yongyao Wang et al.

Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution

Yuwen Ji, Wenbo Xie, Jiaqi Zhang et al.

See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI

Yulong Liu, Yongqiang Ma, Guibo Zhu et al.

Training Verification-Friendly Neural Networks via Neuron Behavior Consistency

Zongxin Liu, Zhe Zhao, Fu Song et al.

Cluster-guided Contrastive Class-imbalanced Graph Classification

Wei Ju, Zhengyang Mao, Siyu Yi et al.

Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators

Bin Lu, Xinyu Xiao, Changzhou Zhang et al.

DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning

Yifan Lu, Jiajun Le, Zizhuo Li et al.

From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs

Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken et al.

Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks

Yeon-Chang Lee, Hojung Shin, Sang-Wook Kim

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation

Hourun Li, Yifan Wang, Zhiping Xiao et al.

Disentangled Contrastive Bundle Recommendation with Conditional Diffusion

Jiuqiang Li

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

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

Iterative Sparse Attention for Long-sequence Recommendation

Guanyu Lin, Jinwei Luo, Yinfeng Li et al.