Papers
14,212 papers found
Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion
Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
Baogang Song, Dongdong Zhao, Jianwen Xiang et al.
Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts
Chuancheng Song, Hanyang Shen, Yan Dong et al.
Formal Abductive Latent Explanations for Prototype-Based Networks
Jules Soria, Zakaria Chihani, Julien Girard-Satabin et al.
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
Li Sun, Lanxu Yang, Jiayu Tian et al.
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
Weilin Wan, Fan Yi, Weizhong Zhang et al.
Credal Ensemble Distillation for Uncertainty Quantification
Kaizheng Wang, Fabio Cuzzolin, David Moens et al.
Experimentation on Endogenous Graphs
Wenshuo Wang, Edvard Bakhitov, Dominic Coey
ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering
Xinyue Wang, Yuheng Jia, Hui Liu et al.
Latent State-Predictive Exploration for Deep Reinforcement Learning
Yiming Wang, Kaiyan Zhao, Borong Zhang et al.
Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification
Bowen Wei, Mehrdad Fazli, Ziwei Zhu
Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing
Ziqi Wen, Cai Xu, Wanqing Zhao et al.
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
Marcel Wever, Maximilian Muschalik, Fabian Fumagalli et al.
SELDON: Supernova Explosions Learned by Deep ODE Networks
Jiezhong Wu, Jack O'Brien, Jennifer Li et al.
DivControl: Knowledge Diversion for Controllable Image Generation
Yucheng Xie, Fu Feng, Ruixiao Shi 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
MLLM Enriched Explainable Multiple Clustering
Shan Zhang, Liangrui Ren, Qiaoyu Tan et al.
Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning
Ying Zhang, Xingyue Guo, Yu Zhao et al.
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