Papers
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera, Zachary Wharton, Pradeep R P G Hewage et al.
Context-Aware Graph Convolution Network for Target Re-identification
Deyi Ji, Haoran Wang, Hanzhe Hu et al.
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract)
Ziyue Qiao, Zhiyuan Ning, Yi Du et al.
Context-Guided Adaptive Network for Efficient Human Pose Estimation
Lei Zhao, Jun Wen, Pengfei Wang et al.
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
Zhengxuan Wu, Desmond C. Ong
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Li Sun, Ke Yu, Kayhan Batmanghelich
Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract)
Luting Yang, Jianyi Yang, Shaolei Ren
Contextual Conditional Reasoning
Giovanni Casini, Thomas Meyer, Ivan Varzinczak
Contextualized Rewriting for Text Summarization
Guangsheng Bao, Yue Zhang
Continual General Chunking Problem and SyncMap
Danilo Vasconcellos Vargas, Toshitake Asabuki
Continual Learning by Using Information of Each Class Holistically
Wenpeng Hu, Qi Qin, Mengyu Wang et al.
Continual Learning for Named Entity Recognition
Natawut Monaikul, Giuseppe Castellucci, Simone Filice et al.
Continuous Self-Attention Models with Neural ODE Networks
Jing Zhang, Peng Zhang, Baiwen Kong et al.
Continuous-Time Attention for Sequential Learning
Jen-Tzung Chien, Yi-Hsiang Chen
Contract-based Inter-user Usage Coordination in Free-floating Car Sharing
Kentaro Takahira, Shigeo Matsubara
Contract Scheduling With Predictions
Spyros Angelopoulos, Shahin Kamali
Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition
Daeha Kim, Byung Cheol Song
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Sheng Wan, Shirui Pan, Jian Yang et al.
Contrastive Clustering
Yunfan Li, Peng Hu, Zitao Liu et al.
Contrastive Self-supervised Learning for Graph Classification
Jiaqi Zeng, Pengtao Xie
Contrastive Transformation for Self-supervised Correspondence Learning
Ning Wang, Wengang Zhou, Houqiang Li
Contrastive Triple Extraction with Generative Transformer
Hongbin Ye, Ningyu Zhang, Shumin Deng et al.
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation
Umang Gupta, Aaron M Ferber, Bistra Dilkina et al.
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions
Zhe Feng, Guru Guruganesh, Christopher Liaw et al.
Conversational Neuro-Symbolic Commonsense Reasoning
Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki et al.