Most Cited AAAI "classification problems" Papers

Task Planning for Object Rearrangement in Multi-Room Environments

Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.

S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging

Yimu Pan, Sitao Zhang, Alison D. Gernand et al.

FedPop: Federated Population-based Hyperparameter Tuning

Haokun Chen, Denis Krompaß, Jindong Gu et al.

Span Graph Transformer for Document-Level Named Entity Recognition

Hongli Mao, Xian-Ling Mao, Hanlin Tang et al.

Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data

Moonjung Eo, Kyungeun Lee, Hye-Seung Cho et al.

Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction

Xuan Feng, Tianlong Gu, Xiaoli Liu et al.

Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification

Vinzenz Thoma, Vitor Bosshard, Sven Seuken

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

Position-Aware Guided Point Cloud Completion with CLIP Model

Feng Zhou, Qi Zhang, Ju Dai et al.

SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living

Arkaprava Sinha, Dominick Reilly, Francois Bremond et al.

HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation

Xiaolong Wang, Lei Yu, Yingying Zhang et al.

CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift

Anh T Nguyen, Lam Tran, Anh Tong et al.

Learning More Expressive General Policies for Classical Planning Domains

Simon Ståhlberg, Blai Bonet, Hector Geffner

Distances Between Top-Truncated Elections of Different Sizes

Piotr Faliszewski, Jitka Mertlová, Pierre Nunn et al.

Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem

Keyuan Zhang, Zhongdong Liu, Nakjung Choi et al.

Facility Location Games with Optional Preferences: A Revisit

Xingchen Sha, Shuyu Bao, Hau Chan et al.

Video Summarization Using Denoising Diffusion Probabilistic Model

Zirui Shang, Yubo Zhu, Hongxi Li et al.

Text Diffusion with Reinforced Conditioning

Yuxuan Liu, Tianchi Yang, Shaohan Huang et al.

On the Hardness of Training Deep Neural Networks Discretely

Ilan Doron-Arad

Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos

Aamal Hussain, Francesco Belardinelli

Last-iterate Convergence in Regularized Graphon Mean Field Game

Jing Dong, Baoxiang Wang, Yaoliang Yu

Intent Oriented Contrastive Learning for Sequential Recommendation

Wuhong Wang, Jianhui Ma, Yuren Zhang et al.

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

Huishi Luo, Yiwen Chen, Yiqing Wu et al.

BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation

Xiaolu Hou, Mingcheng Li, Dingkang Yang et al.

One Step Learning, One Step Review

Huang Xiaolong, Qiankun Li, Xueran Li et al.

DZAD: Diffusion-based Zero-shot Anomaly Detection

Tianrui Zhang, Liang Gao, Xinyu Li et al.

Temporal Triadic Closure: Finding Dense Substructures in Social Networks That Evolve over Time

Tom Davot, Jessica Enright, Jayakrishnan Madathil 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.

Non-Convex Tensor Recovery from Local Measurements

Tongle Wu, Ying Sun, Jicong Fan

Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers

Bum Jun Kim, Sang Woo Kim

Explicit Relational Reasoning Network for Scene Text Detection

Yuchen Su, Zhineng Chen, Yongkun Du et al.

Efficiently Enhancing Long-term Series Forecasting via Ultra-long Lookback Windows

Suxin Tong, Jingling Yuan

Multi-Frame Deformable Look-Up Table for Compressed Video Quality Enhancement

Gang He, Guancheng Quan, Chang Wu et al.

Understanding EFX Allocations: Counting and Variants

Tzeh Yuan Neoh, Nicholas Teh

Tradutor: Building a Variety Specific Translation Model

Hugo Sousa, Satya Almasian, Ricardo Campos et al.

Is Your Image a Good Storyteller?

Xiujie Song, Xiaoyi Pang, Haifeng Tang et al.

Fair and Efficient Completion of Indivisible Goods

Vishwa Prakash HV, Ayumi Igarashi, Rohit Vaish

Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception

Xiang Zhang, Yufei Cui, Chenchen Fu et al.

Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation

Shiyu Liu, Daoqiang Zhang, Xiaoke Hao

Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation

Sanghyuck Lee, Sangkeun Park, Jaesung Lee

DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation

Tom Segal, Asaf Shabtai, Yuval Elovici

Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning

Kaiyou Song, Shan Zhang, Tong Wang

AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting

Zihao Han, Baoquan Zhang, Lisai Zhang 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

Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection

Yitong Chen, Wenhao Yao, Lingchen Meng et al.

SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode et al.

Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects

Jianhua Sun, Yuxuan Li, Longfei Xu et al.

Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions

Sijia Jiang, Tong Wu, Jing Hua et al.

Online Prompt Selection for Program Synthesis

Yixuan Li, Lewis Frampton, Federico Mora et al.

Learning Coalition Structures with Games

FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments

Aoru Xue, Yiming Ren, Zining Song et al.

Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images

Min Wang, Xin Huang, Guoqing Zhou et al.

LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study

Nan Zhuang, Boyu Cao, Yi Yang et al.

Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles

Differentially Private Prototypes for Imbalanced Transfer Learning

Dariush Wahdany, Matthew Jagielski, Adam Dziedzic et al.

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation

You Should Learn to Stop Denoising on Point Clouds in Advance

Chuchen Guo, Weijie Zhou, Zheng Liu et al.

DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis

Yongjin Choi, Chanhun Park, Seung Jun Baek

CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex

Guoyuan Yang, Mufan Xue, Ziming Mao 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.

Click2Mask: Local Editing with Dynamic Mask Generation

Omer Regev, Omri Avrahami, Dani Lischinski

Efficient Reinforcement Learning in Probabilistic Reward Machines

Xiaofeng Lin, Xuezhou Zhang

The Logic of Doxastic Strategies

Junli Jiang, Pavel Naumov

Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis

Seunghwan An, Gyeongdong Woo, Jaesung Lim et al.

Textualize Visual Prompt for Image Editing via Diffusion Bridge

Pengcheng Xu, Qingnan Fan, Fei Kou et al.

Ghost Noise for Regularizing Deep Neural Networks

Atli Kosson, Dongyang Fan, Martin Jaggi

Multi-View 3D Human Pose Estimation with Weakly Synchronized Images

Ling Li, Ruiwen Gu, Chongyang Wang et al.

K-ON: Stacking Knowledge on the Head Layer of Large Language Model

Lingbing Guo, Yichi Zhang, Zhongpu Bo 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.

The Master Key Filters Hypothesis: Deep Filters Are General

Zahra Babaiee, Peyman M. Kiasari, Daniela Rus et al.

Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing

Changqian Wang, Shangshang Yang, Siyu Song et al.

REPrune: Channel Pruning via Kernel Representative Selection

Mincheol Park, Dongjin Kim, Cheonjun Park et al.

Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation

Yifei Su, Dong An, Kehan Chen et al.

AACP: Aesthetics Assessment of Children’s Paintings Based on Self

Supervised Learning

An Approximate Skolem Function Counter

Arijit Shaw, Brendan Juba, Kuldeep S Meel

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.

Multispectral Pedestrian Detection with Sparsely Annotated Label

Chan Lee, Seungho Shin, Gyeong-Moon Park et al.

UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks

Jie Zhao, Chao Chen, Yuanshao Zhu et al.

Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement

Hyeonjin Kim, Jaejun Yoo

Coreference Graph Guidance for Mind-Map Generation

Zhuowei Zhang, Mengting Hu, Yinhao Bai et al.

STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering

Privileged Prior Information Distillation for Image Matting

Cheng Lyu, Jiake Xie, Bo Xu et al.

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding

Dou Hu, Lingwei Wei, Wei Zhou et al.

Statistical Model-driven Similarity Hashing: Bridging Modalities for Efficient Unsupervised Retrieval

Mingjin Kuai, Jun Long, Zhan Yang

Moonshine: Distilling Game Content Generators into Steerable Generative Models

Yuhe Nie, Michael Middleton, Tim Merino et al.

Generalized Class Discovery in Instance Segmentation

Cuong Manh Hoang, Yeejin Lee, Byeongkeun Kang

Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning

Ruiqian Nai, Zixin Wen, Ji Li et al.

On the Convergence of Tâtonnement for Linear Fisher Markets

Tianlong Nan, Yuan Gao, Christian Kroer

Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions

Yu Long, Qinghua Lin, Zhihua Wang et al.

Counterfactual Identification Under Monotonicity Constraints

Aurghya Maiti, Drago Plecko, Elias Bareinboim

How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching

András Balogh, Márk Jelasity

TB-HSU: Hierarchical 3D Scene Understanding with Contextual Affordances

Wenting Xu, Viorela Ila, Luping Zhou et al.

Natural Strategic Ability in Stochastic Multi-Agent Systems

Raphaël Berthon, J. Katoen, Munyque Mittelmann et al.

A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation

Mufan Xue, Xinyu Wu, Jinlong Li et al.

Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience

Ao Liu, Wenshan Li, Tao Li et al.

Functional Connectomes of Neural Networks

Tananun Songdechakraiwut, Yutong Wu

Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles

Youssouf Emine, Alexandre Forel, Idriss Malek et al.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes

Alexander Tyurin

STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction

Zhanwei Zhang, Minghao Chen, Zhihong Gu et al.

ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis

Xinyu Geng, Jiaming Wang, Xiaolin Huang et al.

Elevating Flow-Guided Video Inpainting with Reference Generation

Suhwan Cho, Seoung Wug Oh, Sangyoun Lee et al.

Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification

Jimmy Lin, Junkai Li, Jiasi Gao et al.

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision

Wonjoon Chang, Dahee Kwon, Jaesik Choi

Causal-Driven Skill Prerequisite Structure Discovery

Shenbao Yu, Yifeng Zeng, Fan Yang et al.

Semi-Implicit Neural Ordinary Differential Equations

Hong Zhang, Ying Liu, Romit Maulik

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.

Open-Vocabulary Video Relation Extraction

Robust Logit Adjustment for Learning with Long-Tailed Noisy Data

MingCai Chen, Yuntao Du, Wenyu Jiang 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.

AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis

Haiping Ma, Yue Yao, Changqian Wang et al.

DiffCLIP: Few-shot Language-driven Multimodal Classifier

Jiaqing Zhang, Mingxiang Cao, Xue Yang 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.

PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration

Xiaoshui Huang, Zhou Huang, Yifan Zuo et al.

ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning

Wenjin Hou, Dingjie Fu, Kun Li 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.

Pay to (Not) Play: Monetizing Impatience in Mobile Games

Taylor Lundy, Narun Raman, Hu Fu et al.

Differentiable Adversarial Attacks for Marked Temporal Point Processes

Pritish Chakraborty, Vinayak Gupta, Rahul R et al.

Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs

Pratik Rakesh Singh, Mohammadi Zaki, Pankaj Wasnik

Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning

Tao Gong, Qi Chu, Bin Liu et al.

Epistemic Bellman Operators

Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith

Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves

Martin Kurečka, Václav Nevyhoštěný, Petr Novotný et al.

On the Trainability and Classical Simulability of Learning Matrix Product States Variationally

Afrad Basheer, Yuan Feng, Christopher Ferrie et al.

Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles

Xin Zhang, Peiliang Zhang, Jingling Yuan et al.

Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition

Haoyu Xie, Haoxuan Li, Chunyuan Zheng et al.

Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization

Yihan Wu, Yichen Lu, Yifan Peng et al.

Seeing Dark Videos via Self-Learned Bottleneck Neural Representation

Haofeng Huang, Wenhan Yang, Lingyu Duan et al.

Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset

Bin Tang, Ke-Qi Pan, Miao Zheng et al.

RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition

Jie Zhang, Xun Gong, Zhonglin Sun

Multi-Label Supervised Contrastive Learning

Pingyue Zhang, Mengyue Wu

LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data

Shaocong Xu, Pengfei Li, Qianpu Sun et al.

INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems

Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.

GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction

Junyi Chen, Weicai Ye, Yifan Wang et al.

Cross-View Graph Consistency Learning for Invariant Graph Representations

Jie Chen, Hua Mao, Wai Lok Woo et al.

EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion

Yuchen Sun, Qianqian Xu, Zitai Wang et al.

CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls

Li Chai, Donglin Wang

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation

Bharat Srikishan, Anika Tabassum, Srikanth Allu et al.

Pushing the Limits of BFP on Narrow Precision LLM Inference

Hui Wang, Yuan Cheng, Xiaomeng Han et al.

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

Peiwang Tang, Weitai Zhang

EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction

Jingheng Ye, Shang Qin, Yinghui Li et al.

Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition

Paul Bodily, Dan Ventura

Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent

Xiang Li, Qiaomin Xie

Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration

Yongzhe Yuan, Yue Wu, Xiaolong Fan et al.

Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection

Bin Pu, Liwen Wang, Jiewen Yang et al.

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision

Yiting Dong, Xiang He, Guobin Shen et al.

Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline

Baolong Liu, Ruiqing Yang, Roukai Huang et al.

Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity

Lei Zhang, Guanyu Gao, Haiyan Yin et al.

Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning

Xiaoling Zhou, Ou Wu, Nan Yang

Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition

Eungbeom Kim, Kyogu Lee

Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of Algorithms

Mirabel Reid, Santosh S. Vempala

FLUE: Streamlined Uncertainty Estimation for Large Language Models

Shiqi Gao, Tianxiang Gong, Zijie Lin et al.

Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning

Rishabh Agrawal, Nathan Dahlin, Rahul Jain 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.

Neural Collapse Inspired Knowledge Distillation

Shuoxi Zhang, Zijian Song, Kun He

GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping

Bang An, Xun Zhou, Zirui Zhou et al.

Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure

Cheng Bian, Xiaoyu Li, Zhu Guangpu et al.

FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning

Daoyuan Li, Zuyuan Yang, Shengli Xie

Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning

Jinhyeok Jang, Jaehong Kim, Chan-Hyun Youn

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

Motoki Omura, Takayuki Osa, Yusuke Mukuta et al.

Domain Adaptive Unfolded Graph Neural Networks

Zepeng Zhang, Olga Fink

Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data

Ziang Yan, Xingyu Zhao, Hanqing Ma et al.

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding

Guangyin Bao, Qi Zhang, Zixuan Gong et al.

DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion

Yinghui Li, Qianyu Zhou, Jingyu Gong et al.

Real-Time Neural Denoising with Render-Aware Knowledge Distillation

Mengxun Kong, Jie Guo, Chen Wang et al.

Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution

Tingxuan Huang, Jiacheng Miao, Shizhuo Deng et al.

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning

Suhyun Kang, Jungwon Park, Wonseok Lee et al.

Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations

Ao Zhou, Bin Liu, Jin Wang et al.

LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning

Li Zhang, Chaochao Chen, Zhongxuan Han et al.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods

Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang et al.

Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence

Shayan Talaei, Matin Ansaripour, Giorgi Nadiradze et al.

EventPillars: Pillar-based Efficient Representations for Event Data

Rui Fan, Weidong Hao, Juntao Guan et al.

Design Graph Guided Element Importance-Aware Layout Generation with Multi-Modality Cascade Transformer

Qiuyun Zhang, Bin Guo, Lina Yao et al.

MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples

Zhihao Wu, Yushi Cheng, Tianyang Sun et al.

Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight

Shaohui Pan, Yong Xu, Ruotao Xu et al.

Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection

Jiaying Lin, Yuen-Hei Yeung, Shuquan Ye et al.

Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework

Xun Liang, Zhiying Li, Hongxun Jiang

From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs

Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken et al.

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning

Chenyu Sun, Hangwei Qian, Chunyan Miao

POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search

Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng et al.

Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization

Kangkang Deng, Jiang Hu

One-Shot Reference-based Structure-Aware Image to Sketch Synthesis

Rui Yang, Honghong Yang, Li Zhao et al.

Strategic Network Creation for Enabling Greedy Routing

Julian Berger, Tobias Friedrich, Pascal Lenzner et al.

Maxileximin Envy Allocations and Connected Goods

Gianluigi Greco, Francesco Scarcello

Consistency of Compositional Generalization Across Multiple Levels

Chuanhao Li, Zhen Li, Chenchen Jing et al.

NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models

Tuc Van Nguyen, James Michels, Hua Shen et al.

ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting

Qi Zheng, Zihao Yao, Yaying Zhang

Efficient Online Crowdsourcing with Complex Annotations

Reshef Meir, Viet-An Nguyen, Xu Chen et al.

Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning

Han Liu, Yuanyuan Wang, Xiaotong Zhang et al.

GSN: Generalisable Segmentation in Neural Radiance Field

Siddharth Barman, Umang Bhaskar, Yeshwant Pandit et al.

An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency

Yuqi Liang, Jun Luo, Xiaoxi Guo et al.

The Complexity of Computing Robust Mediated Equilibria in Ordinal Games

Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients

Xuan Liu, Menglu Li

Sketched Newton Value Iteration for Large-Scale Markov Decision Processes

Jinsong Liu, Chenghan Xie, Qi Deng et al.

Discerning Temporal Difference Learning

Jianfei Ma

Super-Class Guided Transformer for Zero-Shot Attribute Classification

Sehyung Kim, Chanhyeong Yang, Jihwan Park et al.

Training Verification-Friendly Neural Networks via Neuron Behavior Consistency

Zongxin Liu, Zhe Zhao, Fu Song et al.

FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation

Yunwei Bai, Ying Kiat Tan, Shiming Chen et al.

Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation

Wenzhao Xiang, Chang Liu, Hongyang Yu et al.

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression

Agniva Chowdhury, Pradeep Ramuhalli

Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation

Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning

Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang et al.