AAAI 2025

3,486 papers

Constrained Generative Modeling with Manually Bridged Diffusion Models

Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg, Frank Wood

SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression

Inbar Nachmani, Bar Genossar, Coral Scharf, Roee Shraga, Avigdor Gal

Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructions

Bhuvanashree Murugadoss, Christian Poelitz, Ian Drosos, Vu Le, Nick McKenna

WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting

Md Mahmuddun Nabi Murad, Mehmet Aktukmak, Yasin Yilmaz

MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification

Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu

GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering

Mahsa Mozaffari, Hitesh Sapkota, Qi Yu

Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks

Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata

Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks

Giorgio Morales, John W. Sheppard

OmniCount: Multi-label Object Counting with Semantic-Geometric Priors

Anindya Mondal, Sauradip Nag, Xiatian Zhu, Anjan Dutta

Continual Learning Using a Kernel-Based Method Over Foundation Models

Saleh Momeni, Sahisnu Mazumder, Bing Liu

Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation

Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije

Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection

Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije

Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning

Xianbo Mo, Shunquan Tan, Bin Li, Jiwu Huang

AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks

Shibing Mo, Kai WU, Qixuan Gao, Xiangyi Teng, Jing Liu

The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning

Shentong Mo

Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation

Shentong Mo

Heterogeneous Multi-Agent Bandits with Parsimonious Hints

Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili

ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models

Zhenhua Meng, Fanshen Meng, Rongheng Lin, Budan Wu

Causal Inference over Visual-Semantic-Aligned Graph for Image Classification

Lei Meng, Xiangxian Li, Xiaoshuo Yan, Haokai Ma, Zhuang Qi

CohEx: A Generalized Framework for Cohort Explanation

Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen

Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis

Théo Matricon, Nathanaël Fijalkow, Guillaume Lagarde

Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach

Hugo Math, Rainer Lienhart, Robin Schön

Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning

Jun-Xiang Mao, Yong Rui, Min-ling Zhang

SPACETIME: Causal Discovery from Non-Stationary Time Series

Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad, Jilles Vreeken

HyperDefender: A Robust Framework for Hyperbolic GNNs

Nikita Malik, Rahul Gupta, Sandeep Kumar

TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization

Anay Majee, Maria Xenochristou, Wei-Peng Chen

PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation

Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo

The Gradient of Algebraic Model Counting

Jaron Maene, Luc De Raedt

Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness

Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic

Local Causal Discovery for Structural Evidence of Direct Discrimination

Jacqueline Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar

FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization

Zhiyong Ma, Zhengping Li, Yuanjie Shi, Jian Chen

RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios

Zehua Ma, Han Fang, Xi Yang, Kejiang Chen, Weiming Zhang

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

Yaohui Ma, Xiaopeng Hong, Shizhou Zhang, Huiyun Li, Zhilin Zhu

Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation

Xinge Ma, Jin Wang, Xuejie Zhang

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning

Ran Ma, Yixiong Zou, Yuhua Li, Ruixuan Li

Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model

Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu

Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning

Hao Ma, Shijie Wang, Zhiqiang Pu, Siyao Zhao, Xiaolin Ai

SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM

Xingyu Lyu, Qianqian Xu, Zhiyong Yang, Shaojie Lyu, Qingming Huang

TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval

Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang

Calibrating Large Language Models with Sample Consistency

Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar

Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection

Gengyu Lyu, Bohang Sun, Xiang Deng, Songhe Feng

Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks

Bochen Lyu, He Wang, Zheng Wang, Zhanxing Zhu

Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration

Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang

Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading

Xiaoling Luo, QiHao Xu, Huisi Wu, Chengliang Liu, Zhihui Lai

Conformal Thresholded Intervals for Efficient Regression

Rui Luo, Zhixin Zhou

Conformalized Interval Arithmetic with Symmetric Calibration

Rui Luo, Zhixin Zhou

Emergence-Inspired Multi-Granularity Causal Learning

Hanwen Luo, Guoxian Yu, Jun Wang, Yanyu Xu, Yongqing Zheng

Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification

Zhiguang Lu, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang

Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation

Yuwu Lu, Haoyu Huang, Waikeung Wong, Xue Hu

Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation

Yuwu Lu, Xue Hu, Waikeung Wong, Haoyu Huang

Adaptive-Grained Label Distribution Learning

Yunan Lu, Weiwei Li, Dun Liu, Huaxiong Li, Xiuyi Jia

Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning

Yue Lu, Shizhou Zhang, De Cheng, Guoqiang Liang, Yinghui Xing

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification

Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan

VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution

Rui Lu, Bihai Zhang, Dan Wang

Early Concept Drift Detection via Prediction Uncertainty

Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang

FedCross: Intertemporal Federated Learning Under Evolutionary Games

Jianfeng Lu, Ying Zhang, Riheng Jia, Shuqin Cao, Jing Liu

SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks

Meng Lou, Yunxiang Fu, Yizhou Yu

SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering

Zhen Long, Yipeng Liu, Yazhou Ren, Ce Zhu

Adversarial Contrastive Graph Augmentation with Counterfactual Regularization

Tao Long, Lei Zhang, Liang Zhang, Laizhong Cui

Sum of Squares Circuits

Lorenzo Loconte, Stefan Mengel, Antonio Vergari

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization

Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning

Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu

Visual Reinforcement Learning with Residual Action

Zhenxian Liu, Peixi Peng, Yonghong Tian

GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality

Zehao Liu, Mengzhou Gao, Pengfei Jiao

Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation

Yujing Liu, Zongqian Wu, Zhengyu Lu, Ci Nie, Guoqiu Wen

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning

Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen

A Simple Graph Contrastive Learning Framework for Short Text Classification

Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng

Multi-Objective Molecular Design Through Learning Latent Pareto Set

Yiping Liu, Jiahao Yang, Xuanbai Ren, Zhang Xinyi, Yuansheng Liu

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images

Yihang Liu, Lianghua He, Ying Wen, Longzhen Yang, Hongzhou Chen

SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning

Xinyang Liu, Pengchao Han, Xuan Li, Bo Liu

Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback

Xiang Liu, Hau Chan, Minming Li, Weiwei Wu, Long Tran-Thanh

Enhancing Multi-View Classification Reliability with Adaptive Rejection

Wei Liu, Yufei Chen, Xiaodong Yue

Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily

Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng

Efficient Multi-Policy Evaluation for Reinforcement Learning

Shuze Daniel Liu, Claire Chen, Shangtong Zhang

Probability-Density-aware Semi-supervised Learning

Shuyang Liu, Ruiqiu Zheng, Yunhang Shen, Zhou Yu, Ke Li

Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning

Shengheng Liu, Tianqi Zhang, Ningning Fu, Yongming Huang

AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries

Pengwei Liu, Pengkai Wang, Xingyu Ren, Hangjie Yuan, Zhongkai Hao

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning

Mushui Liu, Fangtai Wu, Bozheng Li, Ziqian Lu, yunlong yu

Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation

Kuanghong Liu, Jin Wang, Kangjian He, Dan Xu, Xuejie Zhang

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

Junhao Liu, Xin Zhang

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment

Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen

Federated Graph-Level Clustering Network

Jingxin Liu, Jieren Cheng, Renda Han, Wenxuan Tu, Jiaxin Wang

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis

Jiexi Liu, Meng Cao, Songcan Chen

KPL: Training-Free Medical Knowledge Mining of Vision-Language Models

Jiaxiang Liu, Tianxiang Hu, JIAWEI DU, Ruiyuan Zhang, Joey Tianyi Zhou

Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning

Jiawei Liu, Yuanbo Xu, Shanshan Song, Lu Jiang

Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses

Hui LIU, Shikai Jin

LiD-FL: Towards List-Decodable Federated Learning

Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi

Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation

Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min

Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks

Han Liu, Jiaqing Zhan, Qin Zhang

Asymmetric Learning for Spectral Graph Neural Networks

Fangbing Liu, Qing Wang

Pareto Set Learning for Multi-Objective Reinforcement Learning

Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Chenxi Liu, Qianxiong Xu, Hao Miao, Sun Yang, Lingzheng Zhang

An Enhanced Levenberg--Marquardt Method via Gram Reduction

Chengchang Liu, Luo Luo, John C.S. Lui

Subgraph Aggregation for Out-of-Distribution Generalization on Graphs

Bowen Liu, Haoyang Li, Shuning Wang, Shuo Nie, Shanghang Zhang

Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks

Ao Liu, Wenshan Li, Beibei Li, Wengang Ma, Tao Li

Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience

Ao Liu, Wenshan Li, Tao Li, Beibei Li, Guangquan Xu

Local Causal Discovery Without Causal Sufficiency

Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou

Efficient Reinforcement Learning in Probabilistic Reward Machines

Xiaofeng Lin, Xuezhou Zhang

Convergence Analysis of Federated Learning Methods Using Backward Error Analysis

Jinwoo Lim, Suhyun Kim, Soo-Mook Moon