Most Cited AAAI "instruction dataset" Papers
5,317 papers found • Page 8 of 27
Conference
Approximate Integer Solution Counts over Linear Arithmetic Constraints
Cunjing Ge
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
Yanyi Li, Xi Zhang, Yisi Luo et al.
How to Make Knockout Tournaments More Popular?
Juhi Chaudhary, Hendrik Molter, Meirav Zehavi
Making Large Vision Language Models to Be Good Few-Shot Learners
Fan Liu, Wenwen Cai, Jian Huo et al.
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy
Geonho Lee, Janghwan Lee, Sukjin Hong et al.
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha et al.
Certification of Speaker Recognition Models to Additive Perturbations
Dmitrii Korzh, Elvir Karimov, Mikhail Pautov et al.
p-Mean Regret for Stochastic Bandits
Anand Krishna, Philips George John, Adarsh Barik et al.
DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors
Yunlong Lin, Zhenqi Fu, Kairun Wen et al.
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning
Tingting Zheng, Kui Jiang, Hongxun Yao et al.
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
Qiuzhen Lin, Yangfan Chen, Lijia Ma et al.
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation
Sizhe Hu, Wenming Wu, Yuntao Wang et al.
MagicNaming: Consistent Identity Generation by Finding a “Name Space” in T2I Diffusion Models
Jing Zhao, Heliang Zheng, Chaoyue Wang et al.
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models
Yang Liu
Learning Discrete-Time Major-Minor Mean Field Games
Kai Cui, Gökçe Dayanıklı, Mathieu Laurière et al.
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Yechao Zhang, Yingzhe Xu, Junyu Shi et al.
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Nguyen et al.
Learning Physics Informed Neural ODEs with Partial Measurements
Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba et al.
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading
Wenhao Zhang, Jun Wang, Yong Luo et al.
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification
Xiaojun Xue, Chunxia Zhang, Tianxiang Xu et al.
HYGENE: A Diffusion-Based Hypergraph Generation Method
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner et al.
Diffusion Model Patching via Mixture-of-Prompts
Seokil Ham, Sangmin Woo, Jin-Young Kim et al.
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
Hang Gao, Chenhao Zhang, Fengge Wu et al.
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
Liang Du, Henghui Jiang, Xiaodong Li et al.
Rebalancing Multi-Label Class-Incremental Learning
Kaile Du, Yifan Zhou, Fan Lyu et al.
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Jiaxin Deng, Junbiao Pang, Baochang Zhang et al.
Towards Realistic Semi-supervised Medical Image Classification
Wenxue Li, Lie Ju, Feilong Tang et al.
Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation
Zhen Zhang, Junfeng Yang, Limei Liu et al.
Input Margins Can Predict Generalization Too
Coenraad Mouton, Marthinus Wilhelmus Theunissen, Marelie H Davel
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting
Zhaojie Zeng, Yuesong Wang, Lili Ju et al.
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers
Dahun Choi, Hyun Kim
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Wei Chen, Guo Ye, Yakun Wang et al.
ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model
Qi Zang, Jiayi Yang, Shuang Wang et al.
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
Hao Tian, Sourav Medya, Wei Ye
PMAC: Personalized Multi-Agent Communication
Xiangrui Meng, Ying Tan
Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator
Jieru Lin, Danqing Huang, Tiejun Zhao et al.
Anchor Learning with Potential Cluster Constraints for Multi-view Clustering
Yawei Chen, Huibing Wang, Jinjia Peng et al.
EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events
Zehao Chen, Zhanfeng Liao, De Ma et al.
RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise
Ziniu Yin, Yanglin Feng, Ming Yan et al.
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion
Cunhang Fan, Yujie Chen, Jun Xue et al.
Even-if Explanations: Formal Foundations, Priorities and Complexity
Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio et al.
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki et al.
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval
Bingjun Luo, Jinpeng Wang, Zewen Wang et al.
When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?
Tongzhou Mu, Zhaoyang Li, Stanisław Wiktor Strzelecki et al.
Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions
Shuai Zhou, Shizhe Zhao, Zhongqiang Ren
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
Yu Zhang, Yunyi Zhang, Yanzhen Shen et al.
A No Free Lunch Theorem for Human-AI Collaboration
Kenny Peng, Nikhil Garg, Jon Kleinberg
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
Pingting Hao, Kunpeng Liu, Wanfu Gao
Distributed Manifold Hashing for Image Set Classification and Retrieval
Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.
WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network
Zhendong Liu, Le Zhang, Bing Li et al.
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation
Brandon Theodorou, Shrusti Jain, Cao Xiao et al.
Hypercorrelation Evolution for Video Class-Incremental Learning
Sen Liang, Kai Zhu, Wei Zhai et al.
Learning to Approximate Adaptive Kernel Convolution on Graphs
Jaeyoon Sim, Sooyeon Jeon, InJun Choi et al.
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation
Feilong Xu, Feiyang Yang, Xiongfei Li et al.
MHBench: Demystifying Motion Hallucination in VideoLLMs
Ming Kong, Xianzhou Zeng, Luyuan Chen et al.
Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes
Ke Wu, Kaizhao Zhang, Mingzhe Gao et al.
Competition among Pairwise Lottery Contests
Xiaotie Deng, Hangxin Gan, Ningyuan Li et al.
Learning Multi-Object Positional Relationships via Emergent Communication
Yicheng Feng, Boshi An, Zongqing Lu
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees
Colin Sullivan, Mo Tiwari, Sebastian Thrun
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics
Xueyuan Yang, Chao Yao, Xiaojuan Ban
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
Yanhe Liu, Peng Wang, Ke Wenjun et al.
ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters
Xunzhi Xiang, Haiwei Xue, Zonghong Dai et al.
HiCM²: Hierarchical Compact Memory Modeling for Dense Video Captioning
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon et al.
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval
Yan Fang, Qingyao Ai, Jingtao Zhan et al.
C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution
Jiahui Kang, Qing Cai, Runqing Tan et al.
Enhancing Multi-Label Classification via Dynamic Label-Order Learning
Jiangnan Li, Yice ZHANG, Shiwei Chen et al.
Relational Distant Supervision for Image Captioning without Image-Text Pairs
Yayun Qi, Wentian Zhao, Xinxiao Wu
SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos
Yingying Jiao, Zhigang Wang, Sifan Wu et al.
Learning Diffusions under Uncertainty
Hao Huang, Qian Yan, Keqi Han et al.
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Bo Li, Wei Ye, Quansen Wang et al.
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
Kenichiro Ando, S. Sekine, Mamoru Komachi
LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement
Nan Jiang, Shanchao Liang, Chengxiao Wang et al.
Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples
Yeyuan Wang, Dehong Gao, Lei Yi et al.
Scalable Motion Style Transfer with Constrained Diffusion Generation
Wenjie Yin, Yi Yu, Hang Yin et al.
GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation
Xu Wang, Zilei Wang, Zihan Lin
RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo
Jianfei Jiang, Liyong Wang, Haochen Yu et al.
TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation
Xingrui Wang, Xin Li, Yaosi Hu et al.
TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification
Xiao Wang, Lekai Liu, Bin Yang et al.
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
Mingshen Wang, Zhao Zhang, Feng Li et al.
Proxyformer: Nystrom-Based Linear Transformer with Trainable Proxy Tokens
SangHo Lee, Hayun Lee, Dongkun Shin
Debiased Distillation for Consistency Regularization
Lu Wang, Liuchi Xu, Xiong Yang et al.
BVT-IMA: Binary Vision Transformer with Information-Modified Attention
Zhenyu Wang, Hao Luo, Xuemei Xie et al.
CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation
Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin et al.
Revisiting Interpolation for Noisy Label Correction
Yuanzhuo Xu, Xiaoguang Niu, Jie Yang et al.
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
Xiaotian Hao, Jianye Hao, Chenjun Xiao et al.
HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval
Chihan Huang, Xiaobo Shen
A Training-free Synthetic Data Selection Method for Semantic Segmentation
Hao Tang, Siyue Yu, Jian Pang et al.
ALLVB: All-in-One Long Video Understanding Benchmark
Xichen Tan, Yuanjing Luo, Yunfan Ye et al.
Decentralized Federated Learning with Model Caching on Mobile Agents
Xiaoyu Wang, Guojun Xiong, Houwei Cao et al.
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
Rong Li, Tao Deng, Siwei Feng et al.
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
Baozhen Wang, Xingye Qiao
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring
Peng TANG, Zhiqiang Xu, Chunlai Zhou et al.
Parameterized Projected Bellman Operator
Théo Vincent, Alberto Maria Metelli, Boris Belousov et al.
No Head Left Behind – Multi-Head Alignment Distillation for Transformers
Tianyang Zhao, Kunwar Singh, Srikar Appalaraju et al.
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
Hyunchai Jeong, Adiba Ejaz, Jin Tian et al.
Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems
Jiaqian Li, Minming Li, Hau Chan
Optimal Bounds for Dissatisfaction in Perpetual Voting
Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
Yun Liao, Junfan Li, Shizhong Liao et al.
s-ID: Causal Effect Identification in a Sub-population
Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash
Improved Maximin Share Approximations for Chores by Bin Packing
Jugal Garg, Xin Huang, Erel Segal-Halevi
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal
Yuwen He, Wei Wang, Wanyu Wu et al.
Molecular Optimization Model with Patentability Constraint
Sally Turutov, Kira Radinsky
Stable Model Semantics for Description Logic Terminologies
Federica Di Stefano, Mantas Simkus
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
9135 Yu Wang, Zexue He, Zhankui He et al.
Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents
Jessica Woodgate, Paul Marshall, Nirav Ajmeri
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Every Bit Helps: Achieving the Optimal Distortion with a Few Queries
Soroush Ebadian, Nisarg Shah
SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection
Jiahao Wang, Caixia Yan, Weizhan Zhang et al.
Backward Responsibility in Transition Systems Using General Power Indices
Christel Baier, Roxane van den Bossche, Sascha Klüppelholz et al.
The Value of Recall in Extensive-Form Games
Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides et al.
EF2X Exists for Four Agents
Arash Ashuri, Vasilis Gkatzelis, Alkmini Sgouritsa
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
Zijie Zhou, Zhaoqi Lu, Xuekai Wei et al.
VPDETR: End-to-End Vanishing Point DEtection TRansformers
Taiyan Chen, Xianghua Ying, Jinfa Yang et al.
ExcluIR: Exclusionary Neural Information Retrieval
Wenhao Zhang, Mengqi Zhang, Shiguang Wu et al.
Semantic-Aware Data Augmentation for Text-to-Image Synthesis
Zhaorui Tan, Xi Yang, Kaizhu Huang
Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection
Libo Qin, Qiguang Chen, Jingxuan Zhou et al.
Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders
Jinghui Qin, Changsong Liu, Tianchi Tang et al.
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
Junxuan Zhang, Zhengxue Cheng, Yan Zhao et al.
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease
Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li et al.
Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay
Ruiheng Liu, Jinyu Zhang, Yanqi Song et al.
CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems
Weiqi Yue, Yuyu Yin, Xin Zhang et al.
Unsupervised Domain Adaptive Person Search via Dual Self-Calibration
Linfeng Qi, Huibing Wang, Jiqing Zhang et al.
KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits
Xia Li, Wenjing Pan
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
Jianan Ye, Zhaorui Tan, Yijie Hu et al.
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
Ruixiao Zhang, Tianchi Huang
Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection
Meng Xing, Zhiyong Feng, Yong Su et al.
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
Renshuai Tao, Manyi Le, Chuangchuang Tan et al.
RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks
Ziyi Hu, Jun Liu, Zhongzhi Liu et al.
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
Suho Park, SuBeen Lee, Hyun Seok Seong et al.
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
Paulo Cavalin, Pedro H. Domingues, Claudio Pinhanez
Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective
Xingdi Chen, Yu Xiong, Kai YANG
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics
Li Sun, Ziheng Zhang, Zixi Wang et al.
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs
Chuancheng Song, Xixun Lin, Hanyang Shen et al.
END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions
Nan Sun, Han Fang, Yuxing Lu et al.
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning
Quanmin Wei, Penglin Dai, Wei Li et al.
Emergent Communication for Numerical Concepts Generalization
Enshuai Zhou, Yifan Hao, Rui Zhang et al.
GraSP: Simple Yet Effective Graph Similarity Predictions
Haoran Zheng, Jieming Shi, Renchi Yang
Max-Mahalanobis Anchors Guidance for Multi-View Clustering
Pei Zhang, Yuangang Pan, Siwei Wang et al.
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
Qi Zhang, Yi Zhou, Ashley Prater-Bennette et al.
Black-Box Test-Time Prompt Tuning for Vision-Language Models
Fan'an Meng, Chaoran Cui, Hongjun Dai et al.
MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models
Yangyu Wu, Xu Han, Wei Song et al.
Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation
Zhiqi Yu, Zhichao Liao, Jingjing Li et al.
SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition
Haoran Zhang, Xiangdong Su, Xingxiang Zhou et al.
Sparse Variational Student-t Processes
Jian Xu, Delu Zeng
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting
Changyuan Tian, Zhicong Lu, Zequn Zhang et al.
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems
Haoxiang Tian, Xingshuo Han, Guoquan Wu et al.
CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection
Shiyuan Ma, Donglin Qian, Kai Ye et al.
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
Qingqiang Sun, Chaoqi Chen, Ziyue Qiao et al.
HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation
Taeri Kim, Jiho Heo, Hyunjoon Kim et al.
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)
Kartik Singhal, Gautam Shroff
12087 Limitations of Face Image Generation
Harrison Rosenberg, Shimaa Ahmed, Guruprasad Ramesh et al.
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
Junjie Huang, Jiarui Qin, Yong Yu et al.
Delay as Payoff in MAB
Ofir Schlisselberg, Ido Cohen, Tal Lancewicki et al.
Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation
Zichen Luo, Xinshan Zhu, Lan Zhang et al.
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah et al.
Enhancing Masked Time-Series Modeling via Dropping Patches
Tianyu Qiu, Yi Xie, Hao Niu et al.
Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering
Hao Lu, Yunpeng Zhang, Guoqing Wang et al.
On Corruption-Robustness in Performative Reinforcement Learning
Vasilis Pollatos, Debmalya Mandal, Goran Radanovic
Enhancing SQL Query Generation with Neurosymbolic Reasoning
Henrijs Princis, Cristina David, Alan Mycroft
Neural Reasoning for Sure Through Constructing Explainable Models
Tiansi Dong, Mateja Jamnik, Pietro Liò
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning
Tianhao Peng, Xuhong Li, Haitao Yuan et al.
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
Yuguang Yan, Zeqin Yang, Weilin Chen et al.
PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer
Wenting Cui, Runzhao Yao, Shaoyi Du
Benchmarking and Understanding Compositional Relational Reasoning of LLMs
Ruikang Ni, Da Xiao, Qingye Meng et al.
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
Huan Ma, Yan Zhu, Changqing Zhang et al.
A General Theoretical Framework for Learning Smallest Interpretable Models
Sebastian Ordyniak, Giacomo Paesani, Mateusz Banany et al.
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
Weigang Lu, Ziyu Guan, Wei Zhao et al.
Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT
Shuolin Li, Chu-Min Li, Jordi Coll et al.
Training Matting Models Without Alpha Labels
Wenze Liu, Zixuan Ye, Hao Lu et al.
InstructOCR: Instruction Boosting Scene Text Spotting
Chen Duan, Qianyi Jiang, Pei Fu et al.
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
Ziming Liu, Jingcai Guo, Song Guo et al.
Visual Reinforcement Learning with Residual Action
Zhenxian Liu, Peixi Peng, Yonghong Tian
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds
Dongmin Choi, Wonwoo Cho, Kangyeol Kim et al.
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation
Tao Liu, Rongjie Li, Chongyu Wang et al.
UniCell: Universal Cell Nucleus Classification via Prompt Learning
Junjia Huang, Haofeng Li, Xiang Wan et al.
ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques
Junhao Liu, Xin Zhang
AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries
Pengwei Liu, Pengkai Wang, Xingyu Ren et al.
Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities
Shanyuan Liu, Bo Cheng, Yuhang Ma et al.
DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning
Chengtai Li, Yee Yang Tan, Yuting He et al.
Towards Scalable and Deep Graph Neural Networks via Noise Masking
Yuxuan Liang, Wentao Zhang, Zeang Sheng et al.
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
YongKyung Oh, Dong-Young Lim, Sungil Kim
Social Recommendation via Graph-Level Counterfactual Augmentation
Yinxuan Huang, Ke Liang, Yanyi Huang et al.
ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images
Hongyuan Liu, Haochen Yu, Bochao Zou et al.
AgentMixer: Multi-Agent Correlated Policy Factorization
Zhiyuan Li, Wenshuai Zhao, Lijun Wu et al.
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction
Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos et al.
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration
Yunshuai Zhou, Junbo Qiao, Jincheng Liao et al.
Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning
Dunqiang Liu, Shujun Huang, Wen Li et al.
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang et al.
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang, Haoran Han, Maolong Lv et al.
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
Min Wang, Xin Li, Leiji Zhang et al.
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference
Dongyan Huo, Yudong Chen, Qiaomin Xie
Semi-Supervised Online Cross-Modal Hashing
Xiao Kang, Xingbo Liu, Xuening Zhang et al.
Backdoor Attack on Propagation-based Rumor Detectors
Di Jin, Yujun Zhang, Bingdao Feng et al.
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
Ximei Wang, Junwei Pan, Xingzhuo Guo et al.
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation
Min Lin, Gangwei Xu, Yun Wang et al.
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
Tao Dai, Yang Lin, Hang Guo et al.
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
Pedro Orvalho, Mikoláš Janota, Vasco M. Manquinho
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined
Shizhe Hu, Binyan Tian, Weibo Liu et al.
DeepSN: A Sheaf Neural Framework for Influence Maximization
Asela Hevapathige, Qing Wang, Ahad N. Zehmakan
Generalization Analysis for Deep Contrastive Representation Learning
Nong Minh Hieu, Antoine Ledent, Yunwen Lei et al.