AAAI 2025

3,486 papers

Learning Local Neighborhoods of Non-Gaussian Graphical Models

Sarah Liaw, Rebecca Morrison, Youssef Marzouk, Ricardo Baptista

Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.

Zhu Liao, Nour Hezbri, Victor Quétu, Van-Tam Nguyen, Enzo Tartaglione

Towards Scalable and Deep Graph Neural Networks via Noise Masking

Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu

MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models

Tian Liang, Yuetian Du, Jing Huang, Ming Kong, Luyuan Chen

Label Noise Correction via Fuzzy Learning Machine

Jiye Liang, Yixiao Li, Junbiao Cui

GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning

Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang

TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization

Haoyuan Liang, Xinyu Zhang, Shilei Cao, Guowen Li, Juepeng Zheng

Metric-Agnostic Continual Learning for Sustainable Group Fairness

Heng Lian, Chen Zhao, Zhong Chen, Xingquan Zhu, My T. Thai

Unsupervised Region-Based Image Editing of Denoising Diffusion Models

Zixiang Li, Yue Song, Renshuai Tao, Xiaohong Jia, Yao Zhao

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

Zikuan Li, Qiaoyun Wu, Jialin Zhang, Kaijun Zhang, Jun Wang

Calibrated Disambiguation for Partial Multi-label Learning

Zhuoming Li, Yuheng Jia, Mi Yu, Zicong Miao

AgentMixer: Multi-Agent Correlated Policy Factorization

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach

Zhiwei Li, Guodong Long, Tianyi Zhou, Jing Jiang, Chengqi Zhang

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning

Zhiqiang Li, Haiyong Bao, Menghong Guan, Hao Pan, Cheng Huang

Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning

Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu

Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model

Yujun Li, Hongyuan Zhang, Yuan Yuan

Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval

Yuan Li, Liangli Zhen, Yuan Sun, Dezhong Peng, Xi Peng

Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement

Yi Li, Yang Sun, Plamen P Angelov

Community-Centric Graph Unlearning

Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng

Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery

Yanyi Li, Xi Zhang, Yisi Luo, Deyu Meng

Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction

Yanxi Li, Chengbin Du

Population Aware Diffusion for Time Series Generation

Yang Li, Han Meng, Zhenyu Bi, Ingolv T. Urnes, Haipeng Chen

Symbolic Neural Ordinary Differential Equations

Xin Li, Chengli Zhao, Xue Zhang, Xiaojun Duan

B2Opt: Learning to Optimize Black-box Optimization with Little Budget

Xiaobin Li, Kai WU, Xiaoyu Zhang, Handing Wang

Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent

Xiang Li, Qiaomin Xie

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

Wenrui Li, Wei Han, Yandu Chen, Yeyu Chai, Yidan Lu

Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis

Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin

Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach

Victor O. K. Li, Yang Han, Jacqueline C. K. Lam

Adaptive Dual Guidance Knowledge Distillation

Tong Li, Long Liu, Kang Liu, Xin Wang, Bo Zhou

Dynamic Clustering Convolutional Neural Network

Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo

Neural Conformal Control for Time Series Forecasting

Ruipu Li, Alexander Rodriguez

Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label

Quanjiang Li, Tingjin Luo, Mingdie Jiang, Zhangqi Jiang, Chenping Hou

CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning

Qiwei Li, Jiahuan Zhou

Self-Prompting Analogical Reasoning for UAV Object Detection

Nianxin Li, Mao Ye, Lihua Zhou, Song Tang, Yan Gan

Detecting and Corrupting Convolution-based Unlearnable Examples

Minghui Li, Xianlong Wang, Zhifei Yu, Shengshan Hu, Ziqi Zhou

On the Power of Convolution-Augmented Transformer

Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak

Deep Hypergraph Neural Networks with Tight Framelets

Ming Li, Yujie Fang, Yi Wang, Han Feng, Yongchun Gu

When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline

Ming Li, Yongchun Gu, Yi Wang, Yujie Fang, Lu Bai

GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic

Mengxian Li, Qi Wang, Yongjun Xu

Adaptive Decision Boundary for Few-Shot Class-Incremental Learning

Linhao Li, Yongzhang Tan, Siyuan Yang, Hao Cheng, Yongfeng Dong

An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing

Lei Li, Haochen Yang, Jiacheng Guo, Hongkai Yu, Minghai Qin

Destroy and Repair Using Hyper-Graphs for Routing

Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang

Multi-Label Ranking Loss Minimization for Matrix Completion

Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang, Yu Zhang, Xin Lai

Modeling All Response Surfaces in One for Conditional Search Spaces

Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang

HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning

Jianfeng Li, Jiawen Zhang, Feng Wang, Lianbo Ma

Learning Causal Transition Matrix for Instance-dependent Label Noise

Jiahui Li, Tai-Wei Chang, Kun Kuang, Ximing Li, Long Chen

Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach

Hebei Li, Yansong Peng, Jiahui Yuan, Peixi Wu, Jin Wang

A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks

Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao

AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors

Hao Li, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang

k-HyperEdge Medoids for Clustering Ensemble

Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin

AIA: Autoregression-Based Injection Attacks Against Text2SQL Models

Deyin Li, Xiang Ling, Changjiang Li, Xiang Chen, Chunming Wu

Marginal Benefit Driven RL Teacher for Unsupervised Environment Design

Dexun Li, Wenjun Li, Pradeep Varakantham

FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning

Daoyuan Li, Zuyuan Yang, Shengli Xie

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning

Chenglin Li, Guangchun Ruan, Hua Geng

Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition

Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen

Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition

Bozheng Li, Mushui Liu, Gaoang Wang, yunlong yu

Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data

Cheuk Hang Leung, Yiyan Huang, Yijun Li, Qi Wu

Towards Trustable SHAP Scores

Olivier Létoffé, Xuanxiang Huang, Joao Marques-Silva

Real-Time Recurrent Reinforcement Learning

Julian Lemmel, Radu Grosu

Mining In-distribution Attributes in Outliers for Out-of-distribution Detection

Yutian Lei, Luping Ji, Pei Liu

MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning

Xing Lei, Xuetao Zhang, Donglin Wang

Learning Strategy Representation for Imitation Learning in Multi-Agent Games

Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling

WonJun Lee, Bumsub Ham, Suhyun Kim

CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing

Seungcheol Lee, Moohong Min

Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms

Junyong Lee, Jeihee Cho, Shiho Kim

DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation

Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, Kijung Shin

DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization

Jin-Seop Lee, Noo-ri Kim, Jee-Hyong Lee

Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning

Jeong Woon Lee, Hyoseok Hwang

HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation

Giwoong Lee, Jiseung Ahn, Jeongyeol Choe

RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy

Geonho Lee, Janghwan Lee, Sukjin Hong, Minsoo Kim, Euijai Ahn

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents

Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen

Truncated Gaussian Policy for Debiased Continuous Control

Ganghun Lee, Minji Kim, Minsu Lee, Byoung-tak Zhang

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

Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni

Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP

Anton Lee, Heitor Murilo Gomes, Yaqian Zhang, W. Bastiaan Kleijn

Explainable Neural Networks with Guarantee: A Sparse Estimation Approach

Antoine Ledent, Peng Liu

Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning

Jian Lang, Zhangtao Cheng, Ting Zhong, Fan Zhou

De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem

Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li

CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization

Yuanhao Lai, Pengfei Zheng, Chenpeng Ji, Cheng Qiu, Tingkai Wang

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off

Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang

pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning

Jiahao Lai, Jiaqi Li, Jian Xu, Yanru Wu, Boshi Tang

Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks

Lorenz Kummer, Samir Moustafa, Wilfried Gansterer, Nils Morten Kriege

Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows

Liam Anthony Kruse, Alexandros Tzikas, Harrison Delecki, Mansur Arief, Mykel J. Kochenderfer

Selective Uncertainty Propagation in Offline RL

Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi

p-Mean Regret for Stochastic Bandits

Anand Krishna, Philips George John, Adarsh Barik, Vincent Y. F. Tan

FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning

Tanapol Kosolwattana, Huazheng Wang, Raed AL Kontar, Ying Lin

Certification of Speaker Recognition Models to Additive Perturbations

Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan Oseledets

Sample-aware Adaptive Structured Pruning for Large Language Models

Jun Kong, Xinge Ma, Jin Wang, Xuejie Zhang

SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness

Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy

Super-Class Guided Transformer for Zero-Shot Attribute Classification

Sehyung Kim, Chanhyeong Yang, Jihwan Park, Taehoon Song, Hyunwoo J. Kim

A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning

Minyoung Kim, Timothy Hospedales

Diffusion-Based Active Learning for Distributed Client Manifolds

Kwang In Kim

Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning

Junsu Kim, Suhyun Kim

To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation

Jungkyu Kim, Kibok Lee, Taeyoung Park

Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning

Junghun Kim, Ka Hyun Park, Hoyoung Yoon, U Kang

Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation

HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon

Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement

Hyeonjin Kim, Jaejun Yoo

T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation

Dongyeon Kim, Yejin Kan, Gangman Yi

Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers

Bum Jun Kim, Sang Woo Kim

Learning Structural Causal Models from Ordering: Identifiable Flow Models

Minh Khoa Le, Kien Do, Truyen Tran

ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP

Subhendu Khatuya, Ritvik Vij, Paramita Koley, Samik Datta, Niloy Ganguly