Paper Papers
5,964 papers found • Page 11 of 120
Conference
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion
Yunlong Tang, Gen Zhan, Li Yang et al.
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
Lulu Zhao, Weihao Zeng, Xiaofeng Shi et al.
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution
Guangyuan Li, Yongkang Wang, Junsheng Luan et al.
Cascade Reward Sampling for Efficient Decoding-Time Alignment
Bolian Li, Yifan Wang, Anamika Lochab et al.
CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
Runlong Zhou, Yi Zhang
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
Xin Jing, Yichen Jing, Yuhuan Lu et al.
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
Anh T Nguyen, Lam Tran, Anh Tong et al.
Casual-VRAuth: A Design Framework Bridging Focused and Casual Interactions for Behavioral Authentication in Virtual Reality
Guanyu Ye, BoYu Gao, Huawei Tu
Category Prompt Mamba Network for Nuclei Segmentation and Classification
Ye Zhang, Zijie Fang, Yifeng Wang et al.
Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models
Meghana Arakkal Rajeev, Rajkumar Ramamurthy, Prapti Trivedi et al.
Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis
Qi Lian, Yu Qi, Yueming Wang
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey, Rong Pan
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
Lei Meng, Xiangxian Li, Xiaoshuo Yan et al.
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Haipeng Chen, Sifan Wu, Zhigang Wang et al.
Causally Consistent Normalizing Flow
Qingyang Zhou, Kangjie Lu, Meng Xu
Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment
Congzhi Zhang, Linhai Zhang, Jialong Wu et al.
CDE-Learning: Camera Deviation Elimination Learning for Unsupervised Person Re-identification
Jinjia Peng, Songyu Zhang, Huibing Wang
CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer
Ran Ran, Jiwei Wei, Xiangyi Cai et al.
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
Yuanheng Fang, Guoqing Chao, Wenqiang Lei et al.
Certification of Speaker Recognition Models to Additive Perturbations
Dmitrii Korzh, Elvir Karimov, Mikhail Pautov et al.
Certified Causal Defense with Generalizable Robustness
Yiran Qiao, Yu Yin, Chen Chen et al.
Certifying Bounds Propagation for Integer Multiplication Constraints
Matthew J. McIlree, Ciaran McCreesh
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning
Qiuru Hai, Yongjian Deng, Yuena Lin et al.
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing
Seungcheol Lee, Moohong Min
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
Shirley Anugrah Hayati, Taehee Jung, Tristan Bodding-Long et al.
ChangeDiff: A Multi-Temporal Change Detection Data Generator with Flexible Text Prompts via Diffusion Model
Qi Zang, Jiayi Yang, Shuang Wang et al.
Channel Merging: Preserving Specialization for Merged Experts
Mingyang Zhang, Jing Liu, Ganggui Ding et al.
CharacterBench: Benchmarking Character Customization of Large Language Models
Jinfeng Zhou, Yongkang Huang, Bosi Wen et al.
Characterising Simulation-Based Program Equilibria
Emery Cooper, Caspar Oesterheld, Vincent Conitzer
ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions
Yunjie Tian, Tianren Ma, Lingxi Xie et al.
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Chengsen Wang, Qi Qi, Jingyu Wang et al.
Checking Consistency of CP-Theory Preferences in Polynomial Time
Erik Rauer, Samik Basu, Vasant Honavar
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
Junxian Li, Di Zhang, Xunzhi Wang et al.
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
Luis Roque, Vítor Cerqueira, Carlos Soares et al.
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis
Daniil Averkov, Tatiana Belova, Gregory Emdin et al.
Citations and Trust in LLM Generated Responses
Yifan Ding, Matthew Facciani, Ellen Joyce et al.
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
Wenhao Zheng, Yixiao Chen, Weitong Zhang et al.
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
Yupu Hao, Pengfei Cao, Zhuoran Jin et al.
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
Eloy Geenjaar, Lie Lu
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
Xiaoling Zhou, Ou Wu, Nan Yang
Class Semantic Attribute Perception Guided Zero-Shot Learning
Qin Yue, Junbiao Cui, Jianqing Liang et al.
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
Jingyi Zheng, Tianyi Hu, Tianshuo Cong et al.
Clean-Label Graph Backdoor Attack in the Node Classification Task
Hui Xia, Xiangwei Zhao, Rui Zhang et al.
Clean Training, Clear Skies: Virtual Reality Training for Expert Smoke Opacity Certification
Ethan Seefried, Videep Venkatesha, Nathaniel Blanchard et al.
CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection
Jie Chen, Liangmin Wang, Huijuan Zhu et al.
Click2Mask: Local Editing with Dynamic Mask Generation
Omer Regev, Omri Avrahami, Dani Lischinski
CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification
Chenyang Yu, Xuehu Liu, Jiawen Zhu et al.
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination
Kaicheng Yang, Tiancheng Gu, Xiang An et al.
CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification
Jiyang Xu, Qi Wang, Xin Xiong et al.
CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex
Guoyuan Yang, Mufan Xue, Ziming Mao et al.