Most Cited AAAI "meteorological predictors" Papers

Mixture of Online and Offline Experts for Non-Stationary Time Series

Zhilin Zhao, Longbing Cao, Yuanyu Wan

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection

Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models

Hieu Man, Franck Dernoncourt, Thien Huu Nguyen

QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos

Yogesh Kumar, Saswat Mallick, Anand Mishra et al.

STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis

Zhe Zhao, Pengkun Wang, Haibin Wen et al.

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

Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method

Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin et al.

A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities

Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor

Qi Zhao, Christian Wressnegger

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

Cedric Derstroff, Jannis Brugger, Mattia Cerrato et al.

Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning

Hanyu Zhao, Zijie Pan, Yajie Wang et al.

Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point

Peizhi Zhao, Shiyi Zheng, Wenye Zhao et al.

ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression

Botao Zhao, Xiaoyang Qu, Zuheng Kang et al.

TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model

Zhenkai Zhang, Krista A. Ehinger, Tom Drummond

LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic Segmentation

Yumin Zhang, Haoran Duan, Rui Sun et al.

Evolutionary Classifier Chain for Multi-Dimensional Classification

Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang

HVAdam: A Full-Dimension Adaptive Optimizer

Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu et al.

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization

Xiao Zhang, Sunhao Dai, Jun Xu et al.

EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation

Wenjie Zhang, Jun Yin, Long Ma et al.

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

Zewen Zheng, Xuemin Zhang, Yongqiang Mou et al.

Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval

Tianlong Zhang, Zhe Xue, Adnan Mahmood et al.

Parametric ρ-Norm Scaling Calibration

Siyuan Zhang, Linbo Xie

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection

Shuai Zhang, Yu Fan, Haoyi Zhou et al.

Repurposing Ensemble of Black-Box Models to New Task Domains

Minh Hoang, Nghia Hoang

Abstraction of Situation Calculus Concurrent Game Structures

Yves Lesperance, Giuseppe De Giacomo, Maryam Rostamigiv et al.

HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning

Qinbo Zhang, Xiao Yan, Yukai Ding et al.

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-guided Optimization

Hao Wang, Fang Liu, Licheng Jiao et al.

TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs

Qin Zhang, Xiaowei Li, Ziqi Liu et al.

QiMLP: Quantum-inspired Multilayer Perceptron with Strong Correlation Mining and Parameter Compression

Junwei Zhang, Tianheng Wang, Zeyi Zhang et al.

Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction

Hongliang Zhang, Shuo Chen, Lei Luo et al.

Causal Representation Learning via Counterfactual Intervention

Xiutian Li, Siqi Sun, Rui Feng

Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization

Haozhen Zhang, Zhaogeng Liu, Bin Gu et al.

Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts

Gong-Duo Zhang, Ruiqing Chen, Qian Zhao et al.

Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining

Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition

Beibei Zhang, Tongwei Ren, Gangshan Wu

WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning

Jia Zeng, Lan Huang, Kangping Wang

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation

Xin Lin, Chong Shi, Yibing Zhan et al.

BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning

Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu

Contextual Structure Knowledge Transfer for Graph Neural Networks

Zhiyuan Yu, Wenzhong Li, Zhangyue Yin et al.

AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation

Zhidong Yu, Xiaoman Liu, Jiajun Hu et al.

S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation

Mu You, Fang Zhang, Shuai Zhang et al.

LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs

Kihyuk Yoon, Chiehyeon Lim

Exploring the Better Multimodal Synergy Strategy for Vision-Language Models

Xiaotian Yin, Xin Liu, Si Chen et al.

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks

Jia Wang, Wuqiang Su, Zushu Huang et al.

SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis

Yi Shi, Yun-Kai Wang, Xu-Peng Tian et al.

Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer

Mingze Yin, Hanjing Zhou, Yiheng Zhu et al.

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

Xiaohan Li, Dong Liu, Jun Wu

RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection

Shuzhi Cao, Jianfei Ruan, Bo Dong et al.

Towards Better Robustness Against Natural Corruptions in Document Tampering Localization

Huiru Shao, Kaizhu Huang, Wei Wang et al.

pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning

Liping Yi, Han Yu, Chao Ren et al.

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

Dashan Gao, Sheng Wan, Lixin Fan et al.

AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent

Hangyu Ye, Weiying Xie, Yunsong Li et al.

Lifelong Scalable Generative System via Online Maximum Mean Discrepancy

Fei Ye, Adrian G. Bors

Continual Unsupervised Generative Modelling via Online Optimal Transport

Fei Ye, Adrian G. Bors, Kun Zhang

Safe Online Convex Optimization with Heavy-Tailed Observation Noises

Yunhao Yang, Bo Xue, Yunzhi Hao et al.

Manipulation-Robust Selection of Citizens’ Assemblies

Bailey Flanigan, Jennifer Liang, Ariel Procaccia et al.

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale

Randy Ardywibowo, Rakesh Sunki, Shin Tsz Lucy Kuo et al.

Fast Multi-Instance Partial-Label Learning

Yin-Fang Yang, Wei Tang, Min-Ling Zhang

Structure-Aware Multimodal Sequential Learning for Visual Dialog

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

Reputation-aware Revenue Allocation for Auction-based Federated Learning

Xiaoli Tang, Han Yu

Content Filtering with Inattentive Information Consumers

Justin Grana, Alex Slivkins, Brendan Lucier et al.

Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates

Keke Tang, Ziyong Du, Weilong Peng et al.

Model Lineage Closeness Analysis

Chen Tang, Lan Zhang, Qi Zhao et al.

Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling

Vittorio Bilò, Cosimo Vinci

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

Aritra Konar, Nicholas Sidiropoulos

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

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

RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention

Xue Wen, Lianxin Xie, Le Jiang et al.

Improving Private Random Forest Prediction Using Matrix Representation

Arisa Tajima, Joie Wu, Amir Houmansadr

Online MDP with Prototypes Information: A Robust Adaptive Approach

Shuo Sun, Meng Qi, Zuo-Jun Max Shen

Graph Consistency and Diversity Measurement for Federated Multi-View Clustering

Bohang Sun, Yongjian Deng, Yuena Lin et al.

A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification

Xin Tan, Ce Zhao, Chengliang Liu et al.

DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance

Yun Zhong, Yiannis Demiris

Assessment via Transformer Text Prompting

Probabilistic Explanations for Linear Models

Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel

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

Chao Su, Huiming Zheng, Dezhong Peng et al.

On Local Overfitting and Forgetting in Deep Neural Networks

Uri Stern, Tomer Yaacoby, Daphna Weinshall

Behaviour Preference Regression for Offline Reinforcement Learning

Padmanaba Srinivasan, William Knottenbelt

Exploring Rationale Learning for Continual Graph Learning

Lei Song, Jiaxing Li, Qinghua Si et al.

Neural Embeddings for kNN Search in Biological Sequence

Zhihao Chang, Linzhu Yu, Yanchao Xu et al.

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback

Qiming Liu, Xiang Ao, Yuyao Guo et al.

MORE: Molecule Pretraining with Multi-Level Pretext Task

Yeongyeong Son, Dasom Noh, Gyoungyoung Heo et al.

Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events

Wen Yang, Jinjian Wu, Jupo Ma et al.

Co-Dream: Collaborative Dream Synthesis over Decentralized Models

Abhishek Singh, Gauri Gupta, Yichuan Shi et al.

Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models

Kun Zhang, Jiali Zeng, Fandong Meng et al.

Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering

Zhenqiu Shu, Teng Sun, Yunwei Luo et al.

Replication-proof Bandit Mechanism Design with Bayesian Agents

Suho Shin, Seyed A. Esmaeili, MohammadTaghi Hajiaghayi

Automated Defect Report Generation for Enhanced Industrial Quality Control

Jiayuan Xie, Zhiping Zhou, Zihan 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.

Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood

Yuta Shikuri

Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense

Zhenbo Shi, Xiaoman Liu, Yuxuan Zhang et al.

Protecting Model Adaptation from Trojans in the Unlabeled Data

Lijun Sheng, Jian Liang, Ran He et al.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective

Hongyu Shen, Zhizhen Zhao

Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification

Yuming Shao, Zhixuan Fang

Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels

Renat Sergazinov, Richard Chen, Cheng Ji et al.

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

Hyunjin Seo, Kyusung Seo, Joonhyung Park et al.

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

Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi

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

Vishwesh Sangarya, Jung-Eun Kim

TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning

Jiacheng Ruan, Mingye Xie, Jingsheng Gao et al.

Monitoring Primitive Interactions During the Training of DNNs

Jie Ren, Xinhao Zheng, Jiyu Liu et al.

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

Hao Ren, Xiao Lan, Rui Tang et al.

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

Ruice Rao, Dingwei Li, Ming Li

DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images

Mingxin Yi, Kai Zhang, Pei Liu et al.

Kernel Learning for Sample Constrained Black-Box Optimization

Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury

CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem

Qian Chen, Taolin Zhang, Dongyang Li et al.

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

Yongchun Qin, Pengfei Fang, Hui Xue

DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation

Zichen Liu, Hongbo Sun, Yuxin Peng et al.

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

Yalan Qin, Guorui Feng, Xinpeng Zhang

Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data

Zhuang Qi, Lei Meng, Zhaochuan Li et al.

TinySubNets: An Efficient and Low Capacity Continual Learning Strategy

Marcin Pietron, Kamil Faber, Dominik Żurek et al.

Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy

Xiao Yun, Chenglong Xu, Kevin Riou et al.

Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm

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

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization

Kai Wang, Haoyu Liu, Zhipeng Hu et al.

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

Danni Peng, Yuan Wang, Huazhu Fu et al.

Riemannian Geometric-based Meta Learning

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

Deep Disentangled Metric Learning

Jinhee Park, Jisoo Park, Dagyeong Na et al.

Learning Set Functions with Implicit Differentiation

Gözde Özcan, Chengzhi Shi, Stratis Ioannidis

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.

End-to-End Verification for Subgraph Solving

Learning Deep Dissipative Dynamics

Yuji Okamoto, Ryosuke Kojima

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

Michal Nauman, Marek Cygan

A Unified Environmental Network for Pedestrian Trajectory Prediction

Guoqing Chao, Yi Jiang, Dianhui Chu

Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning

Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen

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

Inbar Nachmani, Bar Genossar, Coral Scharf et al.

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

Mahsa Mozaffari, Hitesh Sapkota, Qi Yu

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

Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije

Mixed-Effects Contextual Bandits

Weiwei Xiao, Yongyong Chen, Qiben Shan et al.

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

Xianbo Mo, Shunquan Tan, Bin Li et al.

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

Zhenhua Meng, Fanshen Meng, Rongheng Lin et al.

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

Théo Matricon, Nathanaël Fijalkow, Guillaume Lagarde

HyperDefender: A Robust Framework for Hyperbolic GNNs

Nikita Malik, Rahul Gupta, Sandeep Kumar

RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios

Zehua Ma, Han Fang, Xi Yang et al.

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

Xinge Ma, Jin Wang, Xuejie Zhang

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

Hao Ma, Shijie Wang, Zhiqiang Pu et al.

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

Shuai Lyu, Zijing Tian, Zhonghong Ou et al.

A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton

Vidya Sagar Sharma

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

Gengyu Lyu, Bohang Sun, Xiang Deng et al.

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

Bochen Lyu, He Wang, Zheng Wang et al.

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

Xiaoling Luo, Qihao Xu, Huisi Wu et al.

Emergence-Inspired Multi-Granularity Causal Learning

Hanwen Luo, Guoxian Yu, Jun Wang et al.

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

Zhiguang Lu, Qianqian Xu, Shilong Bao et al.

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

Yuwu Lu, Haoyu Huang, Waikeung Wong et al.

Adaptive-Grained Label Distribution Learning

Yunan Lu, Weiwei Li, Dun 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

FedCross: Intertemporal Federated Learning Under Evolutionary Games

Jianfeng Lu, Ying Zhang, Riheng Jia et al.

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

Zhen Long, Yipeng Liu, Yazhou Ren et al.

Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction

Jiaxin Huang, Qi Wu, Yazhou Ren et al.

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series

Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz et al.

10491 Multi-Granularity Causal Structure Learning

Tianyi Chu, Wei Xing, Jiafu Chen et al.

Multi-Objective Molecular Design Through Learning Latent Pareto Set

Yiping Liu, Jiahao Yang, Xuanbai Ren et al.

5602 Consistency-GAN: Training GANs with Consistency Model

Yunpeng Wang, Meng Pang, Shengbo Chen et al.

6402 NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning

Linsheng Chen, Guangrun Wang, Liuchun Yuan et al.

Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback

Xiang Liu, Hau Chan, Minming Li et al.

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

Siqi Liu, Dongxiao He, Zhizhi Yu et al.

2243 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

Junwei He, Qianqian Xu, Yangbangyan Jiang et al.

11879 Distributional Off-Policy Evaluation for Slate Recommendations

Shreyas Chaudhari, David Arbour, Georgios Theocharous et al.

8318 Optimal Transport with Tempered Exponential Measures

Ehsan Amid, Frank Nielsen, Richard Nock et al.

Probability-Density-aware Semi-supervised Learning

Shuyang Liu, Ruiqiu Zheng, Yunhang Shen et al.

10783 The Complexity of Optimizing Atomic Congestion

Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram et al.

3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction

Yufei Huang, Siyuan Li, Lirong Wu et al.

780 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization

Jiaying Zhu, Dong Li, Xueyang Fu et al.

8284 Federated X-armed Bandit

Wenjie Li, Qifan Song, Jean Honorio et al.

3752 Decoupled Textual Embeddings for Customized Image Generation

Yufei Cai, Yuxiang Wei, Zhilong Ji et al.

Federated Graph-Level Clustering Network

Jingxin Liu, Jieren Cheng, Renda Han et al.

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

Jiawei Liu, Yuanbo Xu, Shanshan Song et al.

LiD-FL: Towards List-Decodable Federated Learning

Hong Liu, Liren Shan, Han Bao et al.

Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation

Haoran Liu, Youzhi Luo, Tianxiao Li et al.

12181 What Do Hebbian Learners Learn? Reduction Axioms for Unstable Hebbian Learning

Caleb Schultz Kisby, Saúl Blanco, Larry Moss

Dual-Channel Interactive Graph Transformer for Traffic Classification with Message-Aware Flow Representation

Xing Qiu, Guang Cheng, Weizhou Zhu et al.

964 Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features

Neha Kalibhat, Kanika Narang, Hamed Firooz et al.

Asymmetric Learning for Spectral Graph Neural Networks

Fangbing Liu, Qing Wang

1066 Benchmarking Large Language Models on Controllable Generation under Diversified Instructions

Yihan Chen, Benfeng Xu, Quan Wang 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.

Local Causal Discovery Without Causal Sufficiency

Zhaolong Ling, Jiale Yu, Yiwen Zhang et al.

Convergence Analysis of Federated Learning Methods Using Backward Error Analysis

Jinwoo Lim, Suhyun Kim, Soo-Mook Moon

Learning Local Neighborhoods of Non-Gaussian Graphical Models

Sarah Liaw, Rebecca Morrison, Youssef Marzouk 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.

Label Noise Correction via Fuzzy Learning Machine

Jiye Liang, Yixiao Li, Junbiao Cui

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

Haoyuan Liang, Xinyu Zhang, Shilei Cao et al.

Metric-Agnostic Continual Learning for Sustainable Group Fairness

Heng Lian, Chen Zhao, Zhong Chen et al.

Calibrated Disambiguation for Partial Multi-label Learning

Zhuoming Li, Yuheng Jia, Mi Yu et al.

Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement

Yi Li, Yang Sun, Plamen P Angelov

A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency

Hao Zhang, Xuhui Zuo, Huabing Zhou et al.

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

Yanxi Li, Chengbin Du

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

Xiao Long, Liansheng Zhuang, Aodi Li et al.

Adaptive Dual Guidance Knowledge Distillation

Tong Li, Long Liu, Kang Liu et al.

Dynamic Clustering Convolutional Neural Network

Tanzhe Li, Baochang Zhang, Jiayi Lyu et al.

Detecting and Corrupting Convolution-based Unlearnable Examples

Minghui Li, Xianlong Wang, Zhifei Yu et al.

On the Power of Convolution-Augmented Transformer

Mingchen Li, Xuechen Zhang, Yixiao Huang et al.

Deep Hypergraph Neural Networks with Tight Framelets

Ming Li, Yujie Fang, Yi Wang et al.

Simplicity Bias in Overparameterized Machine Learning

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

Lei Li, Haochen Yang, Jiacheng Guo et al.

Curvature-Invariant Adversarial Attacks for 3D Point Clouds

Jianping Zhang, Wenwei Gu, Yizhan Huang et al.

Multi-Label Ranking Loss Minimization for Matrix Completion

Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang et al.

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

Jianfeng Li, Jiawen Zhang, Feng Wang et al.

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

Hao Li, Fanggao Wan, Yue Su et al.

AIA: Autoregression-Based Injection Attacks Against Text2SQL Models

Deyin Li, Xiang Ling, Changjiang Li et al.

Marginal Benefit Driven RL Teacher for Unsupervised Environment Design

Dexun Li, Wenjun Li, Pradeep Varakantham

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

Chaohua Li, Enhao Zhang, Chuanxing Geng et al.

Towards Trustable SHAP Scores

Olivier Létoffé, Xuanxiang Huang, Joao Marques-Silva