Papers
12,510 papers found
Robust Detection of Synthetic Tabular Data Under Schema Variability
G. Charbel N. Kindji, Elisa Fromont, Lina M. Rojas-Barahona et al.
Object-Centric Latent Action Learning
Albina Klepach, Alexander Nikulin, Ilya Zisman et al.
Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation
Jiao Li, Jian Lang, Xikai Tang et al.
Autonomous Concept Drift Threshold Determination
Pengqian Lu, Jie Lu, Anjin Liu et al.
LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
Xiaoxu Ma, Dong Li, Minglai Shao et al.
Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion
Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim
Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts
Chuancheng Song, Hanyang Shen, Yan Dong et al.
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
Li Sun, Lanxu Yang, Jiayu Tian et al.
Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance
Bryan E. Tuck, Rakesh M. Verma
SGoT-R1: Social Graph of Thought Reasoning-Enhanced Multimodal Large Language Model for Harmful Meme Detection
Xiuxian Wang, Yuting Su, Wenhui Li et al.
Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection
Yihua Wang, Qi Jia, Cong Xu et al.
Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing
Ziqi Wen, Cai Xu, Wanqing Zhao et al.
Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis
Jiulong Wu, Yucheng Shen, Lingyong Yan et al.
DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection
Shiwang Xing, Jianwei Niu, Tao Ren
Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
Haonan Xu, Yang Yang
Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training
Xi Yang, Han Zhang, Zhijian Lin et al.
Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection
Shibo Yao, Renshuai Tao, Xiaolong Zheng et al.
SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs
Huiliang Zhai, Xiangyi Teng, Jing Liu
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
Yuan-Ting Zhong, Ting Huang, Xiaolin Xiao et al.
Structure Detection for Contextual Reinforcement Learning
Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
RoS-Guard: Robust and Scalable Online Change Detection with Delay-Optimal Guarantees
Zelin Zhu, Yancheng Huang, Kai Yang
SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection
Ziqi Liu, Ziyang Zhou, Yilin Li et al.
Reasoning with Exploration: An Entropy Perspective
Daixuan Cheng, Shaohan Huang, Xuekai Zhu et al.
HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection
Fangqi Dai, Xingjian Jiang, Zizhuang Deng
Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding
Pinxue Guo, Chongruo Wu, Xinyu Zhou et al.