Papers
CoLAL: Co-learning Active Learning for Text Classification
Linh Le, Genghong Zhao, Xia Zhang et al.
Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning
Shuai Shao, Yu Bai, Yan Wang et al.
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference
Hongda Sun, Hongzhan Lin, Rui Yan
Collaborative Tooth Motion Diffusion Model in Digital Orthodontics
Yeying Fan, Guangshun Wei, Chen Wang et al.
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis
Tianyao He, Huabin Liu, Yuxi Li et al.
ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field
Zhangkai Ni, Peiqi Yang, Wenhan Yang et al.
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling
Jakob Hollenstein, Georg Martius, Justus Piater
Color Event Enhanced Single-Exposure HDR Imaging
Mengyao Cui, Zhigang Wang, Dong Wang et al.
Colorizing Monochromatic Radiance Fields
Yean Cheng, Renjie Wan, Shuchen Weng et al.
Colour Passing Revisited: Lifted Model Construction with Commutative Factors
Malte Luttermann, Tanya Braun, Ralf Möller et al.
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks
Tran Huynh, Dang Nguyen, Tung Pham et al.
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Sikai Bai, Shuaicheng Li, Weiming Zhuang et al.
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
Hao Tian, Sourav Medya, Wei Ye
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
Huimin Huang, Yawen Huang, Shiao Xie et al.
Combinatorial Stochastic-Greedy Bandit
Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini et al.
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
Jordi Laguarta Soler, Thomas Friedel, Sherrie Wang
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification
Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge et al.
Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management
Bingxuan Li, Antonio Castellanos, Pengyi Shi et al.
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval
Yan Fang, Qingyao Ai, Jingtao Zhan et al.
COMMA: Co-articulated Multi-Modal Learning
Lianyu Hu, Liqing Gao, Zekang Liu et al.
Commonsense for Zero-Shot Natural Language Video Localization
Meghana Holla, Ismini Lourentzou
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov, Qin Zhang
Communication Efficient Distributed Newton Method over Unreliable Networks
Ming Wen, Chengchang Liu, Yuedong Xu