Papers
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator
Qiannan Zhang, Shichao Pei, Qiang Yang et al.
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment
Qizhou Wang, Guansong Pang, Mahsa Salehi et al.
Cross-Modal Contrastive Learning for Domain Adaptation in 3D Semantic Segmentation
Bowei Xing, Xianghua Ying, Ruibin Wang et al.
Cross-Modal Distillation for Speaker Recognition
Yufeng Jin, Guosheng Hu, Haonan Chen et al.
Cross-Modality Earth Mover’s Distance for Visible Thermal Person Re-identification
Yongguo Ling, Zhun Zhong, Zhiming Luo et al.
Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding
De Cheng, Xiaolong Wang, Nannan Wang et al.
Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization
Peijun Bao, Wenhan Yang, Boon Poh Ng et al.
Cross-Regional Fraud Detection via Continual Learning (Student Abstract)
Yujie Li, Yuxuan Yang, Qiang Gao et al.
Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence
Xiaohan Zhang, Xingyu Li, Waqas Sultani et al.
Crowd-Level Abnormal Behavior Detection via Multi-Scale Motion Consistency Learning
Linbo Luo, Yuanjing Li, Haiyan Yin et al.
CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials
Kishalay Das, Bidisha Samanta, Pawan Goyal et al.
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness
Huy Phan, Miao Yin, Yang Sui et al.
Curriculum Multi-Negative Augmentation for Debiased Video Grounding
Xiaohan Lan, Yitian Yuan, Hong Chen et al.
Curriculum Temperature for Knowledge Distillation
Zheng Li, Xiang Li, Lingfeng Yang et al.
Customer Service Combining Human Operators and Virtual Agents: A Call for Multidisciplinary AI Research
Sarit Kraus, Yaniv Oshrat, Yonatan Aumann et al.
Cyclically Disentangled Feature Translation for Face Anti-spoofing
Haixiao Yue, Keyao Wang, Guosheng Zhang et al.
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning
Tingting Yuan, Hwei-Ming Chung, Jie Yuan et al.
Dagster: Parallel Structured Search
Mark Alexander Burgess, Charles Gretton, Josh Milthorpe et al.
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
Qishi Dong, Fengwei Zhou, Ning Kang et al.
DarkFeat: Noise-Robust Feature Detector and Descriptor for Extremely Low-Light RAW Images
Yuze He, Yubin Hu, Wang Zhao et al.
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning
Hongchang Zhang, Jianzhun Shao, Shuncheng He et al.
Darwinian Model Upgrades: Model Evolving with Selective Compatibility
Binjie Zhang, Shupeng Su, Yixiao Ge et al.
DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization
Tonmoy Dey, Yixin Chen, Alan Kuhnle
Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System
Julian Lee, Kamal Viswanath, Alisha Sharma et al.
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
Guanyi Qin, Runze Hu, Yutao Liu et al.