Papers
184,605 papers found
Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time
Junjun Pan, Yixin Liu, Chuan Zhou et al.
Correcting Quantization-Induced Gradient Mismatch in Neural Image Compression
Changhao Peng, Yuqi Ye, Wei Gao
CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model
Zhuoyuan Yu, Yuxing Long, Zihan Yang et al.
Correspondence Coverage Matters for Multi-Modal Dataset Distillation
Zhuohang Dang, Minnan Luo, Chengyou Jia et al.
Cosine Similarity as Logits?: A Scalable Knowledge Probe Using Embedding Vectors from Generative Language Models
Tomoyuki Jinno, Kazuki Hayashi, Yusuke Sakai et al.
Cosine Similarity is Almost All You Need (for Prototypical-Part Models)
Luke Moffett, Frank Willard, Maximillian Machado et al.
COSMOS: Coherent SuperGaussian Modeling with Spatial Priors for Sparse-View 3D Splatting
Chaeyoung Jeong, Kwangsu Kim
CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense
Zhuochen Yang, Kar Wai Fok, Vrizlynn L. L. Thing
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation
Amirhossein Dadashzadeh, Parsa Esmati, Majid Mirmehdi
Cost-Effective Communication: An Auction-based Method for Language Agent Interaction
Yijia Fan, Jusheng Zhang, Kaitong Cai et al.
Cost-Free Neutrality for the River Method
Michelle Döring, Jannes Malanowski, Stefan Neubert
Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment
Shigeki Kusaka, Keita Saito, Mikoto Kudo et al.
CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
Yiming Zhao, Jiwei Tang, Shimin Di et al.
Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
Xuesong Jia, Yuanjie Shi, Ziquan Liu et al.
CoT-VLNBench: A Benchmark for Visual Chain-of-Thought Reasoning in Vision-Language-Navigation Robots
Xiao Zhao, Chang Liu, Ruiteng Ji et al.
Council of LLMs: Evaluating Capability of Large Language Models to Annotate Propaganda
Vivek Sharma, Shweta Jain, Mohammad Shokri et al.
CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
Yuefei Chen, Vivek K. Singh, Jing Ma et al.
Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction
Qibin Li, Shengyuan Bai, Nai Zhou et al.
Counterfactual-Driven Zero-Shot Classifier Expansion
Xiangyu Wang, Yanze Gao, Changxin Rong et al.
Counterfactual eXplainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
Alan Gabriel Paredes Cetina, Kaouther Benguessoum, Raoni Lourenco et al.
Counterfactual Fairness with Imperfect Causal Graphs
Cong Su, Qiaoyu Tan, Carlotta Domeniconi et al.
Counterfactual Planning for Generalizable Agents’ Actions
Jiarun Fu, Lizhong Ding, Qiuning Wei et al.
Counterfactual Question Generation Uncovering Learner Contradictions
Bo Zhang, Hao Yu, Wenjie Dong et al.
Countering Multi-modal Representation Collapse through Rank-targeted Fusion
Seulgi Kim, Kiran Kokilepersaud, Mohit Prabhushankar et al.
CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
Giacomo Pacini, Lorenzo Bianchi, Luca Ciampi et al.