Most Cited AAAI "sub-exponential tails" Papers

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

Renxiang Guan, Wenxuan Tu, Siwei Wang et al.

Curriculum Conditioned Diffusion for Multimodal Recommendation

Yimeng Yang, Haokai Ma, Lei Meng et al.

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

Haoren Guo, Haiyue Zhu, Jiahui Wang et al.

Exploring Vacant Classes in Label-Skewed Federated Learning

Kuangpu Guo, Yuhe Ding, Jian Liang et al.

A New Federated Learning Framework Against Gradient Inversion Attacks

Pengxin Guo, Shuang Zeng, Wenhao Chen et al.

Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer

Jinyu Yang, Ruijia Wang, Cheng Yang et al.

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction

Di Wu, Wu Sun, Yi He et al.

Scalable Acceleration for Classification-Based Derivative-Free Optimization

Tianyi Han, Jingya Li, Zhipeng Guo et al.

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

Yudong Han, Haocong Wang, Yupeng Hu et al.

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

Sikun Yang, Hongyuan Zha

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

Zhihao Hao, Bob Zhang, Haisheng Li

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

Hui-Yue Yang, Hui Chen, Ao Wang et al.

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

Qiuyan He, Minghua Deng

CAMH: Advancing Model Hijacking Attack in Machine Learning

Xing He, Jiahao Chen, Yuwen Pu et al.

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies

Zhouyu He, Peng Qiao, Rongchun Li et al.

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

Marzi Heidari, Yuhong Guo

Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection

Bokang Yang, Zhe Zhang, Jie Ma

KernelMatmul: Scaling Gaussian Processes to Large Time Series

Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek

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

Di Hong, Yueming Wang

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection

Yue Hou, He Zhu, Ruomei Liu et al.

Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition

Bo Hu, Kai Zhang, Yanghai Zhang et al.

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

Shizhe Hu, Binyan Tian, Weibo Liu et al.

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

Shizhe Hu, Jiahao Fan, Guoliang Zou et al.

Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking

Zhengfei Xu, Sijia Zhao, Yanchao Hao et al.

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

Xiaoyu Hu, Zhenhua Lin

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

Yang Hua, Tianyang Xu, Xiaoning Song et al.

Multi-view Evidential Learning-based Medical Image Segmentation

Chao Huang, Yushu Shi, Waikeung Wong et al.

PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning

Chengxiang Huang, Bingyan Liu

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning

Jintao Huang, Yiu-ming Cheung, Chi-man Vong et al.

Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling

Shiluo Huang, Yining Jin, Wei Jin et al.

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

Wei Huang, Lei Zhang, Zizhou Wang et al.

KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank

Kuan Xu, Kuo Yang, Jian Liu et al.

MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics

Kaichen Xu, Qilong Wu, Yan Lu et al.

SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration

Sarith Imaduwage

STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation

Cong Xu, Yunhang He, Jun Wang et al.

Discovering Options That Minimize Average Planning Time

Alexander Ivanov, Akhil Bagaria, George Konidaris

Association Pattern-enhanced Molecular Representation Learning

Lingxiang Jia, Yuchen Ying, Tian Qiu et al.

Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching

Nan Jiang, Md Nasim, Yexiang Xue

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

Xuanming Jiang, Baoyi An, Guoshuai Zhao et al.

Discovering Symmetries of ODEs by Symbolic Regression

Paul Kahlmeyer, Niklas Merk, Joachim Giesen

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

Serafina Kamp, Benjamin Fish

AudioGenX: Explainability on Text-to-Audio Generative Models

Hyunju Kang, Geonhee Han, Yoonjae Jeong et al.

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

Qiyu Kang, Xuhao Li, Kai Zhao et al.

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

Nikolai Karpov, Chen Wang

GenPlan: Generative Sequence Models as Adaptive Planners

Akash Karthikeyan, Yash Vardhan Pant

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

Christodoulos Kechris, Jonathan Dan, Jose Miranda et al.

Learning Structural Causal Models from Ordering: Identifiable Flow Models

Minh Khoa Le, Kien Do, Truyen Tran

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

Dongyeon Kim, Yejin Kan, Gangman Yi

Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph

Chenlong Wu, Ze Wang, Keqing Cen et al.

Diffusion-Based Active Learning for Distributed Client Manifolds

Kwang In Kim

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching

Hongbo Zhang, Guang Wang, Xu Wang et al.

Sample-aware Adaptive Structured Pruning for Large Language Models

Jun Kong, Xinge Ma, Jin Wang et al.

Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation

Renjie Wu, Hu Wang, Feras Dayoub et al.

CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization

Yuanhao Lai, Pengfei Zheng, Chenpeng Ji et al.

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

Zhao-Rong Lai, Xiaotian Wu, Liangda Fang et al.

Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP

Anton Lee, Heitor Murilo Gomes, Yaqian Zhang et al.

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

Geon Lee, Wenchao Yu, Kijung Shin et al.

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

Giwoong Lee, Jiseung Ahn, Jeongyeol Choe

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

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

DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation

Junghun Lee, Hyunju Kim, Fanchen Bu et al.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling

Wonjun Lee, Bumsub Ham, Suhyun Kim

Learning Strategy Representation for Imitation Learning in Multi-Agent Games

Shiqi Lei, Kanghoon Lee, Linjing Li et al.

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning

Motoki Omura, Takayuki Osa, Yusuke Mukuta et al.

Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion

Cheng Wu, Liang Su, Chaokun Wang et al.

AIA: Autoregression-Based Injection Attacks Against Text2SQL Models

Deyin Li, Xiang Ling, Changjiang Li et al.

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

Hebei Li, Yansong Peng, Jiahui Yuan et al.

Learning Causal Transition Matrix for Instance-dependent Label Noise

Jiahui Li, Tai-Wei Chang, Kun Kuang et al.

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

Jianfeng Li, Jiawen Zhang, Feng Wang et al.

Modeling All Response Surfaces in One for Conditional Search Spaces

Jiaxing Li, Wei Liu, Chao Xue et al.

Adaptive Decision Boundary for Few-Shot Class-Incremental Learning

Linhao Li, Yongzhang Tan, Siyuan Yang et al.

Federated Recommendation with Explicitly Encoding Item Bias

Zhihao Wang, He Bai, Wenke Huang et al.

Deep Hypergraph Neural Networks with Tight Framelets

Ming Li, Yujie Fang, Yi Wang et al.

On the Power of Convolution-Augmented Transformer

Mingchen Li, Xuechen Zhang, Yixiao Huang et al.

Detecting and Corrupting Convolution-based Unlearnable Examples

Minghui Li, Xianlong Wang, Zhifei Yu et al.

Enhancing Training of Spiking Neural Network with Stochastic Latency

Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic et al.

Dynamic Clustering Convolutional Neural Network

Tanzhe Li, Baochang Zhang, Jiayi Lyu et al.

Adaptive Dual Guidance Knowledge Distillation

Tong Li, Long Liu, Kang Liu et al.

MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection

Mei Wang, Xiaojie Zhu, Ruimin Hu et al.

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

Yanxi Li, Chengbin Du

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

Yanyi Li, Xi Zhang, Yisi Luo et al.

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

Yujun Li, Hongyuan Zhang, Yuan Yuan

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation

Fan Wang, Chaochao Chen, Weiming Liu et al.

Calibrated Disambiguation for Partial Multi-label Learning

Zhuoming Li, Yuheng Jia, Mi Yu et al.

Metric-Agnostic Continual Learning for Sustainable Group Fairness

Heng Lian, Chen Zhao, Zhong Chen et al.

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

Zhu Liao, Nour Hezbri, Victor Quétu et al.

Convergence Analysis of Federated Learning Methods Using Backward Error Analysis

Jinwoo Lim, Suhyun Kim, Soo-Mook Moon

Local Causal Discovery Without Causal Sufficiency

Zhaolong Ling, Jiale Yu, Yiwen Zhang et al.

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

Ao Liu, Wenshan Li, Beibei Li et al.

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

Han Liu, Jiaqing Zhan, Qin Zhang

Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation

Haoran Liu, Youzhi Luo, Tianxiao Li et al.

LiD-FL: Towards List-Decodable Federated Learning

Hong Liu, Liren Shan, Han Bao et al.

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

Jiawei Liu, Yuanbo Xu, Shanshan Song et al.

POI Recommendation via Multi-Objective Adversarial Imitation Learning

Zhenglin Wan, Anjun Gao, Xingrui Yu et al.

ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation

Piao Tong, Qiao Liu, Zhipeng Zhang et al.

Federated Graph-Level Clustering Network

Jingxin Liu, Jieren Cheng, Renda Han et al.

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

Jun Liu, Zhenglun Kong, Pu Zhao et al.

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs

Xiaqiang Tang, Jian Li, Nan Du et al.

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

Peiyuan Liu, Hang Guo, Tao Dai et al.

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

Pengwei Liu, Pengkai Wang, Xingyu Ren et al.

Probability-Density-aware Semi-supervised Learning

Shuyang Liu, Ruiqiu Zheng, Yunhang Shen et al.

Enhancing Multi-View Classification Reliability with Adaptive Rejection

Wei Liu, Yufei Chen, Xiaodong Yue

Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback

Xiang Liu, Hau Chan, Minming Li et al.

Multi-Objective Molecular Design Through Learning Latent Pareto Set

Yiping Liu, Jiahao Yang, Xuanbai Ren et al.

Bilateral Gradual Semantics for Weighted Argumentation

CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation

Shuai Tang, Sitao Lin, Jianghong Ma et al.

Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting

Peiwang Tang, Weitai Zhang

Adversarial Contrastive Graph Augmentation with Counterfactual Regularization

Tao Long, Lei Zhang, Liang Zhang et al.

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

Zhen Long, Yipeng Liu, Yazhou Ren et al.

FedCross: Intertemporal Federated Learning Under Evolutionary Games

Jianfeng Lu, Ying Zhang, Riheng Jia et al.

Early Concept Drift Detection via Prediction Uncertainty

Pengqian Lu, Jie Lu, Anjin Liu et al.

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

Rui Lu, Bihai Zhang, Dan Wang

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification

Weigang Lu, Ziyu Guan, Wei Zhao et al.

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

Yue Lu, Shizhou Zhang, De Cheng et al.

Adaptive-Grained Label Distribution Learning

Yunan Lu, Weiwei Li, Dun Liu et al.

Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation

Yuwu Lu, Xue Hu, Waikeung Wong et al.

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

Yuwu Lu, Haoyu Huang, Waikeung Wong et al.

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

Zhiguang Lu, Qianqian Xu, Shilong Bao et al.

Conformalized Interval Arithmetic with Symmetric Calibration

Rui Luo, Zhixin Zhou

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

Shuai Lyu, Zijing Tian, Zhonghong Ou et al.

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

Hao Ma, Shijie Wang, Zhiqiang Pu et al.

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

Xinge Ma, Jin Wang, Xuejie Zhang

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

Zhiyong Ma, Zhengping Li, Yuanjie Shi et al.

Local Causal Discovery for Structural Evidence of Direct Discrimination

Jacqueline Maasch, Kyra Gan, Violet Chen et al.

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

Anay Majee, Maria Xenochristou, Wei-Peng Chen

HyperDefender: A Robust Framework for Hyperbolic GNNs

Nikita Malik, Rahul Gupta, Sandeep Kumar

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

Lei Meng, Xiangxian Li, Xiaoshuo Yan et al.

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

Zhenhua Meng, Fanshen Meng, Rongheng Lin et al.

Heterogeneous Multi-Agent Bandits with Parsimonious Hints

Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo et al.

Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks

Hui Sun, Liping Yi, Huidong Ma et al.

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

Xianbo Mo, Shunquan Tan, Bin Li et al.

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

Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije

Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation

Te Song, Lianyong Qi, Weiming Liu et al.

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

Mahsa Mozaffari, Hitesh Sapkota, Qi Yu

Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation

Chao Song, Zheng Ren, Li Lu

Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience

Brijraj Singh, Sonal, Niranjan Pedanekar

Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks

Weixuan Shen, Xiaobo Shen, Shirui Pan

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

Inbar Nachmani, Bar Genossar, Coral Scharf et al.

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Domain Learning

Chuangchuang Tan, Yao Zhao, Shikui Wei et al.

Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning

Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen

Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning

Michal Nauman, Marek Cygan

GLAD: Improving Latent Graph Generative Modeling with Simple Quantization

Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda et al.

ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning

Wenyao Ni, Jiangrong Shen, Qi Xu et al.

FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update

Ziru Niu, Hai Dong, A. K. Qin

Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models

Ana Ozaki, Roberto Confalonieri, Ricardo Guimarães et al.

Learning Set Functions with Implicit Differentiation

Gözde Özcan, Chengzhi Shi, Stratis Ioannidis

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data

Weiran Pan, Wei Wei, Feida Zhu et al.

Tab-Shapley: Identifying Top-k Tabular Data Quality Insights

Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi et al.

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

Zhonghong Ou, Xiao Zhang, Yifan Zhu et al.

Riemannian Geometric-based Meta Learning

JuneYoung Park, YuMi Lee, Tae-Joon Kim et al.

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning

Danni Peng, Yuan Wang, Huazhu Fu et al.

DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation

Fanshen Meng, Zhenhua Meng, Ru Jin et al.

Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection

Yifeng Peng, Xinyi Li, Zhiding Liang et al.

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm

Thai-Hoang Pham, Yuanlong Wang, Changchang Yin et al.

Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients

Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany et al.

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

Xiaowei Mao, Yan Lin, Shengnan Guo et al.

Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors

Yalan Qin, Guorui Feng, Xinpeng Zhang

PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning

Yongchun Qin, Pengfei Fang, Hui Xue

PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition

Jin Huang, Danfeng Yan, Yuanqiang Cai

Fair Federated Survival Analysis

Md Mahmudur Rahman, Sanjay Purushotham

Kernel Learning for Sample Constrained Black-Box Optimization

Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury

Slice-and-Pack: Tailoring Deep Models for Customized Requirements

Ruice Rao, Dingwei Li, Ming Li

The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance

Christopher Ratigan, Lenore Cowen

Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation

Mingyang Lv, Xiangfeng Liu, Yuanbo Xu

PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System

Hao Ren, Xiao Lan, Rui Tang et al.

Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine

Luis Roque, Vítor Cerqueira, Carlos Soares et al.

Enhancing Sequential Recommendation with Global Diffusion

Mingxuan Luo, Yang Li, Chen Lin

RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability

Vishwesh Sangarya, Jung-Eun Kim

Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks

Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints

Davide Scassola, Sebastiano Saccani, Ginevra Carbone et al.

General Uncertainty Estimation with Delta Variances

Simon Schmitt, John Shawe-Taylor, Hado van Hasselt

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy

Hyunjin Seo, Kyusung Seo, Joonhyung Park et al.

One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation

Huishi Luo, Yiwen Chen, Yiqing Wu et al.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective

Hongyu Shen, Zhizhen Zhao

Densest k-Subgraph Mining via a Provably Tight Relaxation

Qiheng Lu, Nicholas D Sidiropoulos, Aritra Konar

Label-Free Backdoor Attacks in Vertical Federated Learning

Wei Shen, Wenke Huang, Guancheng Wan et al.

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers

Xuan Shen, Zhao Song, Yufa Zhou et al.

Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations

Yuguang Liu, Yiyun Miao, Luyao Xia

Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense

Zhenbo Shi, Xiaoman Liu, Yuxuan Zhang et al.

Replication-proof Bandit Mechanism Design with Bayesian Agents

Suho Shin, Seyed A. Esmaeili, MohammadTaghi Hajiaghayi

Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint

Yong-Min Shin, Siqing Li, Xin Cao et al.

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models

Yu-An Liu, Ruqing Zhang, Jiafeng Guo et al.

Co-Dream: Collaborative Dream Synthesis over Decentralized Models

Abhishek Singh, Gauri Gupta, Yichuan Shi et al.

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)

Kartik Singhal, Gautam Shroff

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Guang-Yuan Hao, Hengguan Huang, Haotian Wang et al.

MORE: Molecule Pretraining with Multi-Level Pretext Task

Yeongyeong Son, Dasom Noh, Gyoungyoung Heo et al.

Exploring Rationale Learning for Continual Graph Learning

Lei Song, Jiaxing Li, Qinghua Si et al.

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow

Tianchun Li, Chengxiang Wu, Pengyi Shi et al.

Online and Streaming Algorithms for Constrained k-Submodular Maximization

Fabian Christian Spaeh, Alina Ene, Huy Nguyen

Behaviour Preference Regression for Offline Reinforcement Learning

Padmanaba Srinivasan, William Knottenbelt

THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction

Yanchao Liu, Pengzhou Zhang, Wenchao Song et al.

DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels

Chao Su, Huiming Zheng, Dezhong Peng et al.

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling

Huai-An Su, Jiaxiang Geng, Liang Li et al.

Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities

Chengkun Sun, Jinqian Pan, Zhuoli Jin et al.

BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models

Chengkun Sun, Jinqian Pan, Russell Stevens Terry et al.

Factorized Explainer for Graph Neural Networks

Effective and Efficient Representation Learning for Flight Trajectories

Shuo Liu, Wenbin Li, Di Yao et al.

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness

Qingqiang Sun, Chaoqi Chen, Ziyue Qiao et al.

Online MDP with Prototypes Information: A Robust Adaptive Approach

Shuo Sun, Meng Qi, Zuo-Jun Max Shen

Distribution-Consistency-Guided Multi-modal Hashing

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

FastPERT: Towards Fast Microservice Application Latency Prediction via Structural Inductive Bias over PERT Networks

Da Sun Handason Tam, Huanle Xu, Yang Liu et al.