Most Cited AAAI "hard-label queries" Papers
5,317 papers found • Page 11 of 27
Conference
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.
A Continuous-time Tractable Model for Present-biased Agents
Yasunori Akagi, Hideaki Kim, Takeshi Kurashima
AUC Optimization from Multiple Unlabeled Datasets
Zheng Xie, Yu Liu, Ming Li
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.
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
Javier Larrosa, Conrado Martínez, Emma Rollon
Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time
Aakash, Indranil Saha
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
Yilong Zang, Lingfei Ren, Yue Li et al.
Learning the Topology and Behavior of Discrete Dynamical Systems
Zirou Qiu, Abhijin Adiga, Madhav Marathe 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.
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
Hanhui Li, Xiaojian Lin, Xuan Huang et al.
You Should Learn to Stop Denoising on Point Clouds in Advance
Chuchen Guo, Weijie Zhou, Zheng Liu 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.
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
Yihao Wang, Jiajie Su, Chaochao Chen et al.
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis
Kun Yan, Lei Ji, Jian Liang et al.
Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing
Changqian Wang, Shangshang Yang, Siyu Song et al.
An Approximate Skolem Function Counter
Arijit Shaw, Brendan Juba, Kuldeep S Meel
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana et al.
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Yatong Sun, Xiaochun Yang, Zhu Sun 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.
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.
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
Huishi Luo, Yiwen Chen, Yiqing Wu et al.
AACP: Aesthetics Assessment of Children’s Paintings Based on Self
Supervised Learning
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics
Ruixin Mao, Aoyu Shen, Lin Tang et al.
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
Aamal Hussain, Francesco Belardinelli
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
Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing
Guangming Zhu, Siyuan Wang, Tianci Wu et al.
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.
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born et al.
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec
Yu-Hsuan Huang, Ling Lo, Hongxia Xie 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.
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.
Multi-View Multi-Label Classification via View-Label Matching Selection
Hao Wei, Yongjian Deng, Qiuru Hai et al.
Modeling Latent Non-Linear Dynamical System over Time Series
Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai
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.
Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization
Yizhi Wang, Weijia Zhang, Min-Ling Zhang
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics
Xiaochuan Liu, Xin Cheng, Yuchong Sun et al.
Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery
Menglin Wang, Zhun Zhong, Xiaojin Gong
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning
Jia Wang, Yawen Li, Yingxia Shao et al.
Subgraph Invariant Learning Towards Large-Scale Graph Node Classification
Leilei Wang, Si Shi, Fei Ma et al.
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
Songjun Tu, Jingbo Sun, Qichao Zhang et al.
Differentially Private Prototypes for Imbalanced Transfer Learning
Dariush Wahdany, Matthew Jagielski, Adam Dziedzic et al.
Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows
Suxin Tong, Jingling Yuan
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.
Counterfactual Identification Under Monotonicity Constraints
Aurghya Maiti, Drago Plecko, Elias Bareinboim
Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time
Tom Davot, Jessica Enright, Jayakrishnan Madathil et al.
Breaking Symmetries in Quantified Graph Search: A Comparative Study
Mikoláš Janota, Markus Kirchweger, Tomáš Peitl et al.
Learning More Expressive General Policies for Classical Planning Domains
Simon Ståhlberg, Blai Bonet, Hector Geffner
Natural Strategic Ability in Stochastic Multi-Agent Systems
Raphaël Berthon, J. Katoen, Munyque Mittelmann et al.
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation
Shiyu Liu, Daoqiang Zhang, Xiaoke Hao
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
Nan Zhuang, Boyu Cao, Yi Yang et al.
Interpretable Failure Detection with Human-Level Concepts
Kien X. Nguyen, Tang Li, Xi Peng
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater
Yu Peng, Lijie Zhang, Peizhuo Lv et al.
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives
Marius Belly, Nathanaël Fijalkow, Hugo Gimbert et al.
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method
Jiate Li, Meng Pang, Binghui Wang
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching
Jingyu Liu, Minquan Wang, Ye Ma et al.
Exploring Task-Level Optimal Prompts for Visual In-Context Learning
Yan Zhu, Huan Ma, Changqing Zhang
Formally Verified Approximate Policy Iteration
Maximilian Schäffeler, Mohammad Abdulaziz
Optimizing Label Assignment for Weakly Supervised Person Search
Haiyang Zhu, Xi Yang, Nannan Wang
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
Tian-Hao Zhang, Jiawei Zhang, Jun Wang et al.
UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection
HaoMiao Liu, Hao Xu, Chuhuai Yue et al.
Position-Aware Guided Point Cloud Completion with CLIP Model
Feng Zhou, Qi Zhang, Ju Dai et al.
Polarization Guided Mask-Free Shadow Removal
Chu Zhou, Chao Xu, Boxin Shi
PointCFormer: A Relation-Based Progressive Feature Extraction Network for Point Cloud Completion
Yi Zhong, Weize Quan, Dong-Ming Yan et al.
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang et al.
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
Chenxu Wang, Ping Jian, Zhen Yang
Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles
Yangkai Lin, Jiabao Lei, Kui Jia
Enhancing Portuguese Variety Identification with Cross-Domain Approaches
Hugo Sousa, Rúben Almeida, Purificação Silvano et al.
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models
Li Zheng, Liangbin Xie, Jiantao Zhou et al.
Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal Retrieval
Zhiqian Zhao, Liang Li, Jiehua Zhang et al.
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu 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
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness
Haoming Wang, Wei Gao
Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition
Tianyu Ren, Hui Wang, Karen Rafferty
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
Zekai Zhang, Qinghui Chen, Maomao Xiong et al.
DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis
Yongjin Choi, Chanhun Park, Seung Jun Baek
VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos
Baoyu Liang, Qile Su, Shoutai Zhu et al.
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories
Xiaohan Zhang, Zhenyu Sun, Yukui Qiu et al.
ViFactCheck: A New Benchmark Dataset and Methods for Multi-Domain News Fact-Checking In Vietnamese
Tran Thai Hoa, Tran Quang Duy, Khanh Quoc Tran et al.
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception
Xiang Zhang, Yufei Cui, Chenchen Fu et al.
Elevating Flow-Guided Video Inpainting with Reference Generation
Suhwan Cho, Seoung Wug Oh, Sangyoun Lee et al.
SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction
Zhongquan Jian, Yanhao Chen, Jiajian Li et al.
Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment
Qing Chang, Yao-Xiang Ding, Kun Zhou
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
Pengyu Zhang, Xieyuanli Chen, Yuwei Chen 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.
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
Jiafu Chen, Wei Xing, Jiakai Sun et al.
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
Yuanheng Fang, Guoqing Chao, Wenqiang Lei et al.
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
Yu Zhu, Bo Lei, Chunfeng Song et al.
Coreference Graph Guidance for Mind-Map Generation
Zhuowei Zhang, Mengting Hu, Yinhao Bai et al.
Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis
João Pedro Gandarela de Souza, Danilo Carvalho, André Freitas
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
Kyle Cox, Jiawei Xu, Yikun Han et al.
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning
Trang Nguyen, Anh Tran, Nhat Ho
Detecting Music Performance Errors with Transformers
Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos et al.
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang, Dongbao Yang, Chang Liu et al.
SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing
Ruihuang Li, Liyi Chen, Zhengqiang Zhang et al.
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection
Weihong Bi, Feifei Kou, Lei Shi et al.
Heterogeneous Multi-Agent Bandits with Parsimonious Hints
Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo et al.
CohEx: A Generalized Framework for Cohort Explanation
Fanyu Meng, Xin Liu, Zhaodan Kong et al.
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation
Dapeng Li, Na Lou, Zhiwei Xu et al.
SPACETIME: Causal Discovery from Non-Stationary Time Series
Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad et al.
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
Guojin Chen, Haoyu Yang, Bei Yu et al.
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization
Zhiyong Ma, Zhengping Li, Yuanjie Shi et al.
Multi-View 3D Human Pose Estimation with Weakly Synchronized Images
Ling Li, Ruiwen Gu, Chongyang Wang et al.
Optimising Spatial Teamwork Under Uncertainty
Gregory Everett, Ryan J. Beal, Tim Matthews et al.
STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction
Zhanwei Zhang, Minghao Chen, Zhihong Gu et al.
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting
Zichi Zhang, Tuan Dung Pham, Yimeng An et al.
Double Auction on Diffusion Network
Miao Li, Yuhan Cao, Dengji Zhao
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning
Chao Li, Yupeng Zhang, Jianqi Wang et al.
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures
Hao Yu, Haoyu Chen, Wei Peng et al.
DiffCLIP: Few-shot Language-driven Multimodal Classifier
Jiaqing Zhang, Mingxiang Cao, Xue Yang et al.
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval
Jiaxing Li, Lin Jiang, Zeqi Ma et al.
Semi-Implicit Neural Ordinary Differential Equations
Hong Zhang, Ying Liu, Romit Maulik
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
Yujing Liu, Zongqian Wu, Zhengyu Lu et al.
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
Xinyang Liu, Pengchao Han, Xuan Li et al.
Efficient Multi-Policy Evaluation for Reinforcement Learning
Shuze Daniel Liu, Claire Chen, Shangtong Zhang
M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection
Jiafeng Li, Ying Wen, Lianghua He
Exploring Salient Object Detection with Adder Neural Networks
Bo-Wen Yin, Zheng Lin
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation
Kuanghong Liu, Jin Wang, Kangjian He et al.
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach
Georgios Tertytchny, Georgios L. Stavrinides, Maria K. Michael
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation
PeiYuan Tang, Xiaodong Zhang, Chunze Yang et al.
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
Zebin Yao, Fangxiang Feng, Ruifan Li et al.
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS
Ziyang Zhang, Yang Zhao, Ming-Ching Chang et al.
Efficient Reinforcement Learning in Probabilistic Reward Machines
Xiaofeng Lin, Xuezhou Zhang
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
Junwei Su, Shan Wu
Higher Order Structures for Graph Explanations
Akshit Sinha, Sreeram Vennam, Charu Sharma et al.
MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models
Tian Liang, Yuetian Du, Jing Huang et al.
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
Fei Ye, Adrian G. Bors, Kun Zhang
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
Zhiqiang Li, Haiyong Bao, Menghong Guan et al.
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
Xiao Shen, Zhihao Chen, Shirui Pan et al.
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation
Jiarui Yang, Chuan Wang, Jun Zhang et al.
Federated t-SNE and UMAP for Distributed Data Visualization
Dong Qiao, Xinxian Ma, Jicong Fan
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
Hao Yang, Qianyu Zhou, Haijia Sun et al.
Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition
Paul Bodily, Dan Ventura
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
Chenglin Li, Guangchun Ruan, Hua Geng
Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles
Xin Zhang, Peiliang Zhang, Jingling Yuan et al.
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
Xing Lei, Xuetao Zhang, Donglin Wang
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems
Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows
Liam Anthony Kruse, Alexandros Tzikas, Harrison Delecki et al.
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar et al.
Super-Class Guided Transformer for Zero-Shot Attribute Classification
Sehyung Kim, Chanhyeong Yang, Jihwan Park et al.
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes
Xinhua Xu, Hong Liu, Jianbing Wu et al.
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning
Junsu Kim, Suhyun Kim
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization
Liang Dai, Kejie Lyu, Chengcheng Zhang et al.
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
Christodoulos Kechris, Jonathan Dan, Jose Miranda et al.
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
Suhyun Kang, Jungwon Park, Wonseok Lee et al.
Eliciting Kemeny Rankings
Anne-Marie George, Christos Dimitrakakis
Dimension Reduction for Symbolic Regression
Paul Kahlmeyer, Markus Fischer, Joachim Giesen
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity
Lei Zhang, Guanyu Gao, Haiyan Yin et al.
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
Yoontae Hwang, Yongjae Lee
Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval
Xin Huang, Shilong Wang, Tong Jia et al.
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
Xiaolin Hu, Zixuan Gong, Gengze Xu et al.
Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering
Shizhe Hu, Jiahao Fan, Guoliang Zou et al.
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation
Wenzhao Xiang, Chang Liu, Hongyang Yu et al.
Differential Alignment for Domain Adaptive Object Detection
Xinyu He, Xinhui Li, Xiaojie Guo
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search
Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng et al.
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
Jimmy Lin, Junkai Li, Jiasi Gao et al.
GLAM: Global-Local Variation Awareness in Mamba-based World Model
Qian He, Wenqi Liang, Chunhui Hao et al.
Multi-Shape Matching with Cycle Consistency Basis via Functional Maps
Yifan Xia, Tianwei Ye, Huabing Zhou et al.
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
Xiaolong Fan, Maoguo Gong, Yue Wu et al.
Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients
Xuan Liu, Menglu Li
Discerning Temporal Difference Learning
Jianfei Ma
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
Yang Gu, Jian Cao, Hengyu You et al.
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Tony Gracious, Ambedkar Dukkipati
Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks
Xiyao Liu, Junxing Ma, Xinda Wang et al.
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes
Augustin Godinot, Erwan Le Merrer, Camilla Penzo et al.
Auditing and Enforcing Conditional Fairness via Optimal Transport
Mohsen Ghassemi, Alan Mishler, Niccolo Dalmasso et al.
10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
Hai Xia, Stefan Szeider
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
Eloy Geenjaar, Lie Lu
FLUE: Streamlined Uncertainty Estimation for Large Language Models
Shiqi Gao, Tianxiang Gong, Zijie Lin et al.
GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction
Junyi Chen, Weicai Ye, Yifan Wang et al.
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer et al.
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael Livanos, Ian Davidson, Stephen Wong
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting
Jianwei Fei, Yunshu Dai, Zhihua Xia et al.
WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition
Zicheng Wang, Qiuxia Wu
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey, Rong Pan
Implications of Distance over Redistricting Maps: Central and Outlier Maps
Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.
Information-Theoretic Generative Clustering of Documents
Xin Du, Kumiko Tanaka-Ishii
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
Jinzong Dong, Zhaohui Jiang, Dong Pan et al.
Attribute Inference Attacks for Federated Regression Tasks
Francesco Diana, Othmane Marfoq, Chuan Xu et al.
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
Joshua DeOliveira, Walter Gerych, Elke Rundensteiner
The Moderating Effect of Instant Runoff Voting
Kiran Tomlinson, Johan Ugander, Jon Kleinberg
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models
Rui Jiang, Xinghe Fu, Guangcong Zheng et al.