AAAI 2025

3,486 papers

On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs

Kushal Kejriwal, Nikhil Karamchandani, Jayakrishnan Nair

Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs

Christodoulos Kechris, Jonathan Dan, Jose Miranda, David Atienza

GenPlan: Generative Sequence Models as Adaptive Planners

Akash Karthikeyan, Yash Vardhan Pant

Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap

Nikolai Karpov, Chen Wang

A Unified Framework for Human-Allied Learning of Probabilistic Circuits

Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan

Semi-Supervised Online Cross-Modal Hashing

Xiao Kang, Xingbo Liu, Xuening Zhang, Wen Xue, Xiushan Nie

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning

Suhyun Kang, Jungwon Park, Wonseok Lee, Wonjong Rhee

Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation

Qiyu Kang, Xuhao Li, KAI ZHAO, Wenjun Cui, Yanan Zhao

VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting

Junhyeok Kang, Yooju Shin, Jae-Gil Lee

AudioGenX: Explainability on Text-to-Audio Generative Models

Hyunju Kang, Geonhee Han, Yoonjae Jeong, Hogun Park

Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents

Serafina Kamp, Benjamin Fish

Discovering Symmetries of ODEs by Symbolic Regression

Paul Kahlmeyer, Niklas Merk, Joachim Giesen

Dimension Reduction for Symbolic Regression

Paul Kahlmeyer, Markus Fischer, Joachim Giesen

IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations

Parvaneh Joharinad, Hannaneh Fahimi, Lukas Silvester Barth, Janis Keck, Jürgen Jost

BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference

Zewen Jin, Shengnan Wang, Jiaan Zhu, Hongrui Zhan, Youhui Bai

Backdoor Attack on Propagation-based Rumor Detectors

Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He

Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms

Xianqi Jiao, Jia Liu, Zhiping Chen

FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning

Zhonghua Jiang, Jimin Xu, Shengyu Zhang, Tao Shen, Jiwei Li

A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models

Yuchen Jiang, Xinyuan Zhao, Yihang Wu, Ahmad Chaddad

M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge

Xuanming Jiang, Baoyi An, Guoshuai Zhao, Xueming Qian

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers

Runqing Jiang, Ye Zhang, Longguang Wang, Pengpeng Yu, Yulan Guo

Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching

Nan Jiang, Md Nasim, Yexiang Xue

Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering

Bingbing Jiang, Chenglong Zhang, Xinyan Liang, Peng Zhou, jie Yang

Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization

Xuemei Jia, JIAWEI DU, Hui Wei, Ruinian Xue, Zheng Wang

Association Pattern-enhanced Molecular Representation Learning

Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Liang Xue

Read, Watch and Scream! Sound Generation from Text and Video

Yujin Jeong, Yunji Kim, Sanghyuk Chun, Jiyoung Lee

TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection

Jaeseok Jang, Hyuk-Yoon Kwon

Discovering Options That Minimize Average Planning Time

Alexander Ivanov, Akhil Bagaria, George Konidaris

Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios

Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern

Approximate State Abstraction for Markov Games

Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki

SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration

Sarith Imaduwage

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset

Yoontae Hwang, Yongjae Lee

COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks

Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts

Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-jun Li, Jiang Bian

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling

Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang

TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation

Yanyong Huang, Minghui Lu, Wei Huang, Xiuwen Yi, Tianrui Li

SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression

Xinhao Huang, You-Liang Huang, Zeyi Wen

Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval

Xin Huang, Shilong Wang, Tong Jia, Zhihang Gou, Jingjing Li

Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection

Xiaoyu Huang, Weidong Chen, Bo Hu, Zhendong Mao

Structural Entropy Guided Probabilistic Coding

Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu

GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation

Wei Huang, Lei Zhang, Zizhou Wang, Yan Wang

Enhance Vision-Language Alignment with Noise

Sida Huang, Hongyuan Zhang, Xuelong Li

Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling

Shiluo Huang, Yining Jin, Wei Jin, Ying Mu

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning

Jintao Huang, Yiu-ming Cheung, Chi-man Vong, Wenbin Qian

CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction

Huiqun Huang, Sihong He, Fei Miao

Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification

Haojian Huang, Chuanyu Qin, Zhe Liu, Kaijing Ma, Jin Chen

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models

Haocheng Huang, JIAXIN CHEN, Jinyang Guo, Ruiyi Zhan, Yunhong Wang

PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning

Chengxiang Huang, Bingyan Liu

Multi-view Evidential Learning-based Medical Image Segmentation

Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang

TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning

Baichuan Huang, Amir Aminifar

R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration

Yang Hua, Tianyang Xu, Xiaoning Song, Zhenhua Feng, Rui Wang

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting

Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai

Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift

Xiaoyu Hu, Zhenhua Lin

Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology

Xiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu, Jian Luan

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection

Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang, Zhi-Hua Zhou

GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation

Sizhe Hu, Wenming Wu, Yuntao Wang, Benzhu Xu, Liping Zheng

Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering

Shizhe Hu, Jiahao Fan, Guoliang Zou, Yangdong Ye

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

Shizhe Hu, Binyan Tian, Weibo Liu, Yangdong Ye

Large Language Model Meets Graph Neural Network in Knowledge Distillation

Shengxiang Hu, Guobing Zou, Song Yang, Shiyi Lin, Yanglan Gan

Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing

Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding

Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu

Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition

Bo Hu, Kai Zhang, Yanghai Zhang, Yuyang Ye

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection

Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Henry Hoffmann

Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation

Di Hong, Yueming Wang

Multimodal Promptable Token Merging for Diffusion Models

Cheng-Yao Hong, Tyng-luh Liu

KernelMatmul: Scaling Gaussian Processes to Large Time Series

Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek

Data Augmentation for Instruction Following Policies via Trajectory Segmentation

Niklas Hoepner, Ilaria Tiddi, Herke van Hoof

Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck

Van Thuy Hoang, O-Joun Lee

Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions

Yuya Hikima, Akiko Takeda

Generalization Analysis for Deep Contrastive Representation Learning

Nong Minh Hieu, Antoine Ledent, Yunwen Lei, Cheng Yeaw Ku

DeepSN: A Sheaf Neural Framework for Influence Maximization

Asela Hevapathige, Qing Wang, Ahad N. Zehmakan

Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling

Marzi Heidari, Yuhong Guo

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies

Zhouyu He, Peng Qiao, Rongchun Li, Yong Dou, Yusong Tan

Differential Alignment for Domain Adaptive Object Detection

Xinyu He, Xinhui Li, Xiaojie Guo

CAMH: Advancing Model Hijacking Attack in Machine Learning

Xing He, Jiahao Chen, Yuwen Pu, Qingming Li, Chunyi Zhou

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation

Weinan He, Zilei Wang, Yixin Zhang

MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis

Wanggui He, Siming FU, Mushui Liu, Xierui Wang, Wenyi Xiao

Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation

Qiuyan He, Minghua Deng

GLAM: Global-Local Variation Awareness in Mamba-based World Model

Qian He, Wenqi Liang, Chunhui Hao, Gan Sun, Jiandong Tian

Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning

Junlin He, Tong Nie, Wei Ma

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning

Jialuo He, Wei Chen, Xiaojin Zhang

DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework

Zhihao Hao, Bob Zhang, Haisheng Li

Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection

Pingting Hao, Kunpeng Liu, Wanfu Gao

Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification

Yudong Han, Haocong Wang, Yupeng Hu, Yongshun Gong, Xuemeng Song

Scalable Acceleration for Classification-Based Derivative-Free Optimization

Tianyi Han, Jingya Li, Zhipeng Guo, Yuan Jin

DrugHash: Hashing Based Contrastive Learning for Virtual Screening

Jin Han, Yun Hong, Wu-jun Li

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning

Haorong Han, Jidong Yuan, Chixuan Wei, Zhongyang Yu

Diffusion Model Patching via Mixture-of-Prompts

Seokil Ham, Sangmin Woo, Jin-Young Kim, Hyojun Go, Byeongjun Park

Who’s the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration

Karina Halevy, Karly Hou, Charumathi Badrinath

CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning

Qiuru Hai, Yongjian Deng, Yuena Lin, Zheng Li, Zhen Yang

A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter

Zirun Guo, Xize Cheng, Yangyang Wu, Tao Jin

Bridging the Gap for Test-Time Multimodal Sentiment Analysis

Zirun Guo, Tao Jin, Wenlong Xu, Wang Lin, Yangyang Wu

Federated Causally Invariant Feature Learning

Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li

A New Federated Learning Framework Against Gradient Inversion Attacks

Pengxin Guo, Shuang Zeng, Wenhao Chen, Xiaodan Zhang, Weihong Ren

Exploring Vacant Classes in Label-Skewed Federated Learning

Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He

Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment

Haoren Guo, Haiyue Zhu, Jiahui Wang, Prahlad Vadakkepat, Weng Khuen Ho

Capture Global Feature Statistics for One-Shot Federated Learning

Zenghao Guan, Yucan Zhou, Xiaoyan Gu

Structure-Adaptive Multi-View Graph Clustering for Remote Sensing Data

Renxiang Guan, Wenxuan Tu, Siwei Wang, Jiyuan Liu, Dayu Hu

Heterogeneous Graph Neural Network on Semantic Tree

Mingyu Guan, Jack W Stokes, Qinlong Luo, Fuchen Liu, Purvanshi Mehta