Papers
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.
Controllable Image Captioning via Prompting
Ning Wang, Jiahao Xie, Jihao Wu et al.
Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning
Cong Wang, Zhiwei Jiang, Yafeng Yin et al.
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Jiangjie Chen, Rui Xu, Wenxuan Zeng et al.
ConvMatch: Rethinking Network Design for Two-View Correspondence Learning
Shihua Zhang, Jiayi Ma
ConvNTM: Conversational Neural Topic Model
Hongda Sun, Quan Tu, Jinpeng Li et al.
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation
Hui Sun, Zheng Xie, Xin-Ye Li et al.
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning
Yang Zhao, Jianwen Xie, Ping Li
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
Weihuang Liu, Xiaodong Cun, Chi-Man Pun et al.