Most Cited AAAI "role-aware reasoning" Papers
5,317 papers found • Page 10 of 27
Conference
A Hierarchical Network for Multimodal Document-Level Relation Extraction
Lingxing Kong, Jiuliang Wang, Zheng Ma et al.
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
Zhiming Li, Junzhe Jiang, Yushi Cao et al.
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Yuxin Wang, Zunlei Feng, Haofei Zhang et al.
CALLIC: Content Adaptive Learning for Lossless Image Compression
Daxin Li, Yuanchao Bai, Kai Wang et al.
Neural Conformal Control for Time Series Forecasting
Ruipu Li, Alexander Rodríguez
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li, Li Bai, Qingqing Ye et al.
Symbolic Neural Ordinary Differential Equations
Xin Li, Chengli Zhao, Xue Zhang et al.
Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal
Yicheng Leng, Chaowei Fang, Junye Chen et al.
CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex
Guoyuan Yang, Mufan Xue, Ziming Mao et al.
Diverse Rare Sample Generation with Pretrained GANs
Subeen Lee, Jiyeon Han, Soyeon Kim et al.
ShotVL: Human-Centric Highlight Frame Retrieval via Language Queries
Wangyu Xue, Chen Qian, Jiayi Wu et al.
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments
Aoru Xue, Yiming Ren, Zining Song et al.
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection
Xiaoyuan Guan, Jiankang Chen, Shenshen Bu et al.
AUC Optimization from Multiple Unlabeled Datasets
Zheng Xie, Yu Liu, Ming Li
TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances
Wenting Xu, Viorela Ila, Luping Zhou et al.
Multispectral Pedestrian Detection with Sparsely Annotated Label
Chan Lee, Seungho Shin, Gyeong-Moon Park et al.
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
Hyeonjin Kim, Jaejun Yoo
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
Bum Jun Kim, Sang Woo Kim
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov, Qin Zhang
Physical-aware Neural Radiance Fields for Efficient Exposure Correction
Kai Xu, Mingwen Shao, Yuanjian Qiao et al.
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms
Xianqi Jiao, Jia Liu, Zhiping Chen
Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction
Haoran Xu, Peixi Peng, Xinyi Zhang et al.
SkipPool: Improved Sparse Hierarchical Graph Pooling with Differentiable Exploration
Sarith Imaduwage
One Step Learning, One Step Review
Huang Xiaolong, Qiankun Li, Xueran Li et al.
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks
Zijian Huang, Wenda Chu, Linyi Li et al.
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning
Zhuyang Xie, Yan Yang, Yankai Yu et al.
Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem
Keyuan Zhang, Zhongdong Liu, Nakjung Choi et al.
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction
Huiqun Huang, Sihong He, Fei Miao
Non-monotone Sequential Submodular Maximization
Shaojie Tang, Jing Yuan
On Inference Stability for Diffusion Models
Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An, Suyeong Park, Kwang In Kim
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
Yuya Hikima, Akiko Takeda
Cost Minimization for Equilibrium Transition
Haoqiang Huang, Zihe Wang, Zhide Wei et al.
Pay to (Not) Play: Monetizing Impatience in Mobile Games
Taylor Lundy, Narun Raman, Hu Fu et al.
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
Relaxed Rotational Equivariance via G-Biases in Vision
Zhiqiang Wu, Yingjie Liu, Licheng Sun et al.
Hierarchically Controlled Deformable 3D Gaussians for Talking Head Synthesis
Zhenhua Wu, Linxuan Jiang, Xiang Li et al.
FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos
Zhengqian Wu, Ruizhe Li, Zijun Xu et al.
A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation
Mufan Xue, Xinyu Wu, Jinlong Li et al.
Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing
Guangming Zhu, Siyuan Wang, Tianci Wu et al.
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models
Dan Shi, Chaobin You, Jian-Tao Huang et al.
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively
Hao Jiang, Tien Mai, Pradeep Varakantham et al.
DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization
Qiuxia Wu, Haiyang Huang, Kunming Su et al.
Rethinking High-speed Image Reconstruction Framework with Spike Camera
Kang Chen, Yajing Zheng, Tiejun Huang et al.
LVPTrack: High Performance Domain Adaptive UAV Tracking with Label Aligned Visual Prompt Tuning
Hongjing Wu, Siyuan Yao, Feng Huang et al.
Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)
Christian Kindermann, Anne-Marie George, Bijan Parsia et al.
Span Graph Transformer for Document-Level Named Entity Recognition
Hongli Mao, Xian-Ling Mao, Hanlin Tang et al.
An Approximate Skolem Function Counter
Arijit Shaw, Brendan Juba, Kuldeep S Meel
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Hyungjun Joo, Hyeonggeun Han, Sehwan Kim et al.
Auditable Algorithms for Approximate Model Counting
S Akshay, Supratik Chakraborty, Kuldeep S Meel
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Youssouf Emine, Alexandre Forel, Idriss Malek et al.
Learning Regularization for Graph Inverse Problems
Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb et al.
Levenshtein Distance Embedding with Poisson Regression for DNA Storage
Xiang Wei, Alan J.X. Guo, Sihan Sun et al.
TdAttenMix: Top-Down Attention Guided Mixup
Zhiming Wang, Lin Gu, Feng Lu
On the Expressivity of Recurrent Neural Cascades
Nadezda Knorozova, Alessandro Ronca
Weighted Poisson-disk Resampling on Large-Scale Point Clouds
Xianhe Jiao, Chenlei Lv, Junli Zhao et al.
Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions
Sijia Jiang, Tong Wu, Jing Hua et al.
What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases
Luca Andolfi, Gianluca Cima, Marco Console et al.
IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation
Runxin Liu, Tian Xie, Jiaming Li et al.
Any-Way Meta Learning
JunHoo Lee, Yearim Kim, Hyunho Lee et al.
OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
Antoine de Mathelin, Nicolas Enrique Cecchi, François Deheeger et al.
AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation
Yu Wang, Yunfei Liu, Fa-Ting Hong et al.
Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences
Yifan Wang, Wuliang Huang, Chun Yuan
Community-Aware Variational Autoencoder for Continuous Dynamic Networks
Junwei Cheng, Chaobo He, Pengxing Feng et al.
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft
Yu Chen, Shuai Zheng, Nianyi Wang et al.
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
Xiwen Chen, Peijie Qiu, Wenhui Zhu et al.
HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation
Xiaolong Wang, Lei Yu, Yingying Zhang et al.
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data
MingCai Chen, Yuntao Du, Wenyu Jiang et al.
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
Jie Qiao, Yu Xiang, Zhengming Chen et al.
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
Chaofan Chen, Xiaoshan Yang, Changsheng Xu
ContextHOI: Spatial Context Learning for Human-Object Interaction Detection
Mingda Jia, Liming Zhao, Ge Li et al.
Natural Strategic Ability in Stochastic Multi-Agent Systems
Raphaël Berthon, J. Katoen, Munyque Mittelmann et al.
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits
Asaf Cassel, Orin Levy, Yishay Mansour
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
Stephen Carrow, Kyle Erwin, Olga Vilenskaia et al.
Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images
Min Wang, Xin Huang, Guoqing Zhou et al.
QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects
Elkhan Ismayilzada, MD Khalequzzaman Chowdhury Sayem, Yihalem Yimolal Tiruneh et al.
Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees
Zongjun Yang, Luofeng Liao, Christian Kroer
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
Matej Benko, Iwona Chlebicka, Jorgen Endal et al.
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching
András Balogh, Márk Jelasity
Rethinking Robustness of Model Attributions
Sandesh Kamath, Sankalp Mittal, Amit Deshpande et al.
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
Seunghwan An, Gyeongdong Woo, Jaesung Lim et al.
SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction
Hao Wang, Lu Wang, Zhongyu Wang et al.
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
Wonjeong Choi, Jungwuk Park, Dong-Jun Han et al.
An And-Sum Circuit with Signed Edges That Is More Succinct than SDD
Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.
Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases
Yasir Mahmood, Markus Hecher, Axel-Cyrille Ngonga Ngomo
An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships
Spencer Killen, Jia-Huai You, Jesse Heyninck
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach
Aowen Wang, Zhiwang Zhang, Dongang Wang et al.
The Logic of Doxastic Strategies
Junli Jiang, Pavel Naumov
A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus
Liangda Fang, Xiaoman Wang, Zhang Chen et al.
Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence
Jorge Fandinno, Zachary Hansen
CPN: Complementary Proposal Network for Unconstrained Text Detection
Longhuang Wu, Shangxuan Tian, Youxin Wang et al.
Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics
Tze Ho Elden Tse, Runyang Feng, Linfang Zheng et al.
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
Xin Tong, Shi Peng, Baojie Tian et al.
DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
Yukun Cao, LIsheng Wang, Luobin Huang
An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation
Lars Bengel, Giovanni Buraglio, Jan Maly et al.
On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing
Raven Beutner, Bernd Finkbeiner
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation
Oren Barkan, Yehonatan Elisha, Jonathan Weill et al.
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects
Jianhua Sun, Yuxuan Li, Longfei Xu et al.
LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation
Dongshuo Huang, Xiaoshui Huang, Chengdong Zhang et al.
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
Kunming Tang, Zhiguo Jiang, Jun Shi et al.
Motion Decoupled 3D Gaussian Splatting for Dynamic Object Representation
Xiao Hu, Libo Long, Jochen Lang
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
Javier Larrosa, Conrado Martínez, Emma Rollon
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
Vinzenz Thoma, Vitor Bosshard, Sven Seuken
Coreference Graph Guidance for Mind-Map Generation
Zhuowei Zhang, Mengting Hu, Yinhao Bai et al.
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning
Wenjin Hou, Dingjie Fu, Kun Li et al.
Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation
Yifei Su, Dong An, Kehan Chen et al.
Facility Location Games with Optional Preferences: A Revisit
Xingchen Sha, Shuyu Bao, Hau Chan et al.
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
Jiafu Chen, Wei Xing, Jiakai Sun et al.
Fair and Efficient Completion of Indivisible Goods
Vishwa Prakash HV, Ayumi Igarashi, Rohit Vaish
Understanding EFX Allocations: Counting and Variants
Tzeh Yuan Neoh, Nicholas Teh
On the Convergence of Tâtonnement for Linear Fisher Markets
Tianlong Nan, Yuan Gao, Christian Kroer
Learning the Topology and Behavior of Discrete Dynamical Systems
Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
Max Staats, Matthias Thamm, Bernd Rosenow
Generalized Class Discovery in Instance Segmentation
Cuong Manh Hoang, Yeejin Lee, Byeongkeun Kang
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
Hanhui Li, Xiaojian Lin, Xuan Huang et al.
Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation
Miran Heo, Seoung Wug Oh, Seon Joo Kim et al.
JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts
Taein Son, Soo Won Seo, Jisong Kim et al.
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
Zihao He, Shengchuan Zhang, Runze Hu et al.
Proportionally Fair Makespan Approximation
Michal Feldman, Jugal Garg, Vishnu V. Narayan et al.
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement
Yulin He, Wei Chen, Siqi Wang et al.
Distances Between Top-Truncated Elections of Different Sizes
Piotr Faliszewski, Jitka Mertlová, Pierre Nunn et al.
Last-iterate Convergence in Regularized Graphon Mean Field Game
Jing Dong, Baoxiang Wang, Yaoliang Yu
The Complexity of Extending Fair Allocations of Indivisible Goods
Argyrios Deligkas, Eduard Eiben, Robert Ganian et al.
Double Auction on Diffusion Network
Miao Li, Yuhan Cao, Dengji Zhao
Asymptotic Extinction in Large Coordination Games
Desmond Chan, Bart De Keijzer, Tobias Galla et al.
Fast Omni-Directional Image Super-Resolution: Adapting the Implicit Image Function with Pixel and Semantic-Wise Spherical Geometric Priors
Xuelin Shen, Yitong Wang, Silin Zheng et al.
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation
Zixiang Ding, Guoqing Jiang, Shuai Zhang et al.
Multi-Frame Deformable Look-Up Table for Compressed Video Quality Enhancement
Gang He, Guancheng Quan, Chang Wu et al.
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana et al.
Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition
Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting
Zihao Han, Baoquan Zhang, Lisai Zhang et al.
The Cost Perspective of Liquid Democracy: Feasibility and Control
Shiri Alouf-Heffetz, Łukasz Janeczko, Grzegorz Lisowski et al.
A Continuous-time Tractable Model for Present-biased Agents
Yasunori Akagi, Hideaki Kim, Takeshi Kurashima
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
Jiahao Qiu, Hui Yuan, Jinghong Zhang et al.
Click2Mask: Local Editing with Dynamic Mask Generation
Omer Regev, Omri Avrahami, Dani Lischinski
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
Songwei Zhao, Yuan Jiang, Zijing Zhang et al.
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
Jie Zhao, Chao Chen, Yuanshao Zhu et al.
AACP: Aesthetics Assessment of Children’s Paintings Based on Self
Supervised Learning
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
Aamal Hussain, Francesco Belardinelli
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
Yilong Zang, Lingfei Ren, Yue Li et al.
Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models
Hao Li, Ruoyuan Gong, Hao Jiang
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
Shi-Feng Peng, Guolei Sun, Yong Li et al.
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born et al.
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics
Kaichen Xu, Qilong Wu, Yan Lu et al.
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
Cheng Wu, Liang Su, Chaokun Wang et al.
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration
Zijian Wang, Bin Wang, Haifeng Jing et al.
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization
Yizhi Wang, Weijia Zhang, Min-Ling Zhang
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
Yihao Wang, Jiajie Su, Chaochao Chen et al.
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing
Changqian Wang, Shangshang Yang, Siyu Song et al.
Multi-View Multi-Label Classification via View-Label Matching Selection
Hao Wei, Yongjian Deng, Qiuru Hai et al.
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness
Haoming Wang, Wei Gao
Differentially Private Prototypes for Imbalanced Transfer Learning
Dariush Wahdany, Matthew Jagielski, Adam Dziedzic et al.
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Yatong Sun, Xiaochun Yang, Zhu Sun et al.
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning
Jia Wang, Yawen Li, Yingxia Shao et al.
Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows
Suxin Tong, Jingling Yuan
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
Songjun Tu, Jingbo Sun, Qichao Zhang et al.
Subgraph Invariant Learning Towards Large-Scale Graph Node Classification
Leilei Wang, Si Shi, Fei Ma et al.
Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time
Tom Davot, Jessica Enright, Jayakrishnan Madathil et al.
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption
Yiding Chen, Xuezhou Zhang, Qiaomin Xie et al.
Learning More Expressive General Policies for Classical Planning Domains
Simon Ståhlberg, Blai Bonet, Hector Geffner
Counterfactual Identification Under Monotonicity Constraints
Aurghya Maiti, Drago Plecko, Elias Bareinboim
Extract Free Dense Misalignment from CLIP
JeongYeon Nam, Jinbae Im, Wonjae Kim et al.
AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis
Haiping Ma, Yue Yao, Changqian Wang et al.
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
Nan Zhuang, Boyu Cao, Yi Yang et al.
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives
Marius Belly, Nathanaël Fijalkow, Hugo Gimbert et al.
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
Huishi Luo, Yiwen Chen, Yiqing Wu et al.
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater
Yu Peng, Lijie Zhang, Peizhuo Lv et al.
Interpretable Failure Detection with Human-Level Concepts
Kien X. Nguyen, Tang Li, Xi Peng
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method
Jiate Li, Meng Pang, Binghui Wang
Formally Verified Approximate Policy Iteration
Maximilian Schäffeler, Mohammad Abdulaziz
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics
Ruixin Mao, Aoyu Shen, Lin Tang et al.
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
Tian-Hao Zhang, Jiawei Zhang, Jun Wang et al.
Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery
Menglin Wang, Zhun Zhong, Xiaojin Gong
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL
Lang Qin, Ziming Wang, Runhao Jiang et al.
Novel View Synthesis Under Large-Deviation Viewpoint for Autonomous Driving
Xin Ma, Jiguang Zhang, Peng Lu et al.
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization
Mingtao Feng, Fenghao Tian, Jianqiao Luo et al.
Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval
Mingjin Kuai, Jun Long, Zhan Yang
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
Junfeng Kang, Rui Li, Qi Liu et al.
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
Xin Jing, Yichen Jing, Yuhuan Lu et al.
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
Chenxu Wang, Ping Jian, Zhen Yang
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec
Yu-Hsuan Huang, Ling Lo, Hongxia Xie et al.
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu et al.
Multimodal Fine-Grained Apparent Personality Trait Recognition: Joint Modeling of Big Five and Questionnaire Item-level Scores
Ryo Masumura, Shota Orihashi, Mana Ihori et al.
Is Your Image a Good Storyteller?
Xiujie Song, Xiaoyi Pang, Haifeng Tang et al.
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification
Zeqing Qin, Yiwei Wu, Lansheng Han
Modeling Latent Non-Linear Dynamical System over Time Series
Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai
Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition
Tianyu Ren, Hui Wang, Karen Rafferty
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data
Moonjung Eo, Kyungeun Lee, Hye-Seung Cho et al.
Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions
Yu Long, Qinghua Lin, Zhihua Wang et al.
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis
Kun Yan, Lei Ji, Jian Liang et al.
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics
Xiaochuan Liu, Xin Cheng, Yuchong Sun et al.
Enhancing Portuguese Variety Identification with Cross-Domain Approaches
Hugo Sousa, Rúben Almeida, Purificação Silvano et al.
SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction
Zhongquan Jian, Yanhao Chen, Jiajian Li et al.
Towards Projected and Incremental Pseudo-Boolean Model Counting
Suwei Yang, Kuldeep S. Meel
MUN: Image Forgery Localization Based on M³ Encoder and UN Decoder
Yaqi Liu, Shuhuan Chen, Haichao Shi et al.
Generalizing Constraint Models in Constraint Acquisition
Dimos Tsouros, Senne Berden, Steven Prestwich et al.
EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion
Ashishkumar Prabhakar Gudmalwar, Ishan Darshan Biyani, Nirmesh J. Shah et al.