Papers
Constrained Market Share Maximization by Signal-Guided Optimization
Bo Hui, Yuchen Fang, Tian Xia et al.
Constrained Reinforcement Learning in Hard Exploration Problems
Pathmanathan Pankayaraj, Pradeep Varakantham
Constrained Submodular Optimization for Vaccine Design
Zheng Dai, David K. Gifford
Constraint Optimization over Semirings
A. Pavan, Kuldeep S. Meel, N. V. Vinodchandran et al.
Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction
Narges Norouzi, Amir Mazaheri
Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding
Qianyu Chen, Xin Li, Kunnan Geng et al.
Context-Aware Transformer for 3D Point Cloud Automatic Annotation
Xiaoyan Qian, Chang Liu, Xiaojuan Qi et al.
ConTextual Masked Auto-Encoder for Dense Passage Retrieval
Xing Wu, Guangyuan Ma, Meng Lin et al.
Continual Graph Convolutional Network for Text Classification
Tiandeng Wu, Qijiong Liu, Yi Cao et al.
Continual Learning with Scaled Gradient Projection
Gobinda Saha, Kaushik Roy
Continual Variational Autoencoder via Continual Generative Knowledge Distillation
Fei Ye, Adrian G. Bors
Continuous Mixtures of Tractable Probabilistic Models
Alvaro H.C. Correia, Gennaro Gala, Erik Quaeghebeur et al.
Continuous Trajectory Generation Based on Two-Stage GAN
Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang et al.
ContraFeat: Contrasting Deep Features for Semantic Discovery
Xinqi Zhu, Chang Xu, Dacheng Tao
Contrastive Attention Networks for Attribution of Early Modern Print
Nikolai Vogler, Kartik Goyal, Kishore PV Reddy et al.
Contrastive Classification and Representation Learning with Probabilistic Interpretation
Rahaf Aljundi, Yash Patel, Milan Sulc et al.
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Shunyu Liu, Yihe Zhou, Jie Song et al.
Contrastive Learning Reduces Hallucination in Conversations
Weiwei Sun, Zhengliang Shi, Shen Gao et al.
Contrastive Learning with the Feature Reconstruction Amplifier
Wentao Cui, Liang Bai
Contrastive Masked Autoencoders for Self-Supervised Video Hashing
Yuting Wang, Jinpeng Wang, Bin Chen et al.
Contrastive Multi-Task Dense Prediction
Siwei Yang, Hanrong Ye, Dan Xu
Contrastive Open Set Recognition
Baile Xu, Furao Shen, Jian Zhao
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
Letian Gong, Youfang Lin, Shengnan Guo et al.
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
Rohit Gupta, Naveed Akhtar, Ajmal Mian et al.