Papers
CP-SLAM: Collaborative Neural Point-based SLAM System
Jiarui Hu, Mao Mao, Hujun Bao et al.
CQM: Curriculum Reinforcement Learning with a Quantized World Model
Seungjae Lee, Daesol Cho, Jonghae Park et al.
Creating a Public Repository for Joining Private Data
James Cook, Milind Shyani, Nina Mishra
Creating Multi-Level Skill Hierarchies in Reinforcement Learning
Joshua B. Evans, Ozgur Simsek
Credal Marginal MAP
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee et al.
Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications
Darshil Doshi, Tianyu He, Andrey Gromov
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
Anthony Fuller, Koreen Millard, James Green
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
Yangruibo Ding, Zijian Wang, Wasi Ahmad et al.
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography
Jiwen Yu, Xuanyu Zhang, Youmin Xu et al.
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Kang Xu, Chenjia Bai, Xiaoteng Ma et al.
Cross-Episodic Curriculum for Transformer Agents
Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby et al.
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
Qihe Huang, Lei Shen, Ruixin Zhang et al.
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
Zihan Luo, Hong Huang, Jianxun Lian et al.
Cross-modal Active Complementary Learning with Self-refining Correspondence
Yang Qin, Yuan Sun, Dezhong Peng et al.
Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks
Haoyi Duan, Yan Xia, Zhou Mingze et al.
Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing
Maofeng Tang, Andrei Cozma, Konstantinos Georgiou et al.
Crystal Structure Prediction by Joint Equivariant Diffusion
Rui Jiao, Wenbing Huang, Peijia Lin et al.
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
Juan M. Cardenas, Ben Adcock, Nick Dexter
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation
Yexiong Lin, Yu Yao, Xiaolong Shi et al.
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
Anders Nørskov, Alexander Neergaard Zahid, Morten Mørup
CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
Wojciech Kusa, Oscar E. Mendoza, Matthias Samwald et al.
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
Wanxing Chang, Ye Shi, Jingya Wang
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
Zheng Zhang, Junxiang Wang, Liang Zhao
Curriculum Learning With Infant Egocentric Videos
Saber Sheybani, Himanshu Hansaria, Justin Wood et al.
Curvature Filtrations for Graph Generative Model Evaluation
Joshua Southern, Jeremy Wayland, Michael Bronstein et al.