Papers
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
Yuankai Luo, Lei Shi, Xiao-Ming Wu
Classification Diffusion Models: Revitalizing Density Ratio Estimation
Shahar Yadin, Noam Elata, Tomer Michaeli
Classification Done Right for Vision-Language Pre-Training
Zilong Huang, Qinghao Ye, Bingyi Kang et al.
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
Junbao Chen, Jingfeng Xue, Yong Wang et al.
Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
Zirun Guo, Tao Jin, Jingyuan Chen et al.
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
Wei Pang, Masoumeh Shafieinejad, Lucy Liu et al.
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
Jing Yao, Xiaoyuan Yi, Xing Xie
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Zibin Dong, Yifu Yuan, Jianye Hao et al.
ClevrSkills: Compositional Language And Visual Reasoning in Robotics
Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya et al.
CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models
Yiğit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar et al.
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
Xi Yu, Shinjae Yoo, Yuewei Lin
CLIP in Mirror: Disentangling text from visual images through reflection
Tiancheng Wang, Yuguang Yang, Linlin Yang et al.
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
Yiping Wang, Yifang Chen, Wendan Yan et al.
Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
Qingwen Bu, Jia Zeng, Li Chen et al.
Cloud Object Detector Adaptation by Integrating Different Source Knowledge
Shuaifeng Li, Mao Ye, Lihua Zhou et al.
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
Wanru Zhao, Hongxiang Fan, Shell Xu Hu et al.
Clustering in Causal Attention Masking
Nikita Karagodin, Yury Polyanskiy, Philippe Rigollet
Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
Ke Liang, Yue Liu, Hao Li et al.
Clustering with Non-adaptive Subset Queries
Hadley Black, Euiwoong Lee, Arya Mazumdar et al.
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
Qiufeng Wang, Xu Yang, Fu Feng et al.
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
Siyuan Huang, Yunchong Song, Jiayue Zhou et al.
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
Linye Lyu, Jiawei Zhou, Daojing He et al.
Coarse-to-Fine Concept Bottleneck Models
Konstantinos P. Panousis, Dino Ienco, Diego Marcos
CoBo: Collaborative Learning via Bilevel Optimization
Diba Hashemi, Lie He, Martin Jaggi