Papers
Channel Regeneration: Improving Channel Utilization for Compact DNNs
Ankit Sharma, Hassan Foroosh
Circuit Minimization with QBF-Based Exact Synthesis
Franz-Xaver Reichl, Friedrich Slivovsky, Stefan Szeider
City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC
Shreevignesh Suriyanarayanan, Praveen Paruchuri, Girish Varma
CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract)
Inder Khatri, Aaryan Gupta, Arjun Choudhry et al.
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection
Xidong Peng, Xinge Zhu, Yuexin Ma
Class Fairness in Online Matching
Hadi Hosseini, Zhiyi Huang, Ayumi Igarashi et al.
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
Huimin Huang, Shiao Xie, Lanfen Lin et al.
Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract)
Qiancheng Xu, Min Yang, Binzong Geng
Class-Independent Regularization for Learning with Noisy Labels
Rumeng Yi, Dayan Guan, Yaping Huang et al.
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
Pengcheng Xu, Boyu Wang, Charles Ling
CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning
Tianhao Peng, Yu Liang, Wenjun Wu et al.
CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels
Siyuan Li, Li Sun, Qingli Li
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
Yiren Song, Xuning Shao, Kang Chen et al.
CLUE-AD: A Context-Based Method for Labeling Unobserved Entities in Autonomous Driving Data
Ruwan Wickramarachchi, Cory Henson, Amit Sheth
Clustered Federated Learning for Heterogeneous Data (Student Abstract)
Xue Yu, Ziyi Liu, Yifan Sun et al.
Cluster-Guided Contrastive Graph Clustering Network
Xihong Yang, Yue Liu, Sihang Zhou et al.
Clustering What Matters: Optimal Approximation for Clustering with Outliers
Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh et al.
CMNet: Contrastive Magnification Network for Micro-Expression Recognition
Mengting Wei, Xingxun Jiang, Wenming Zheng et al.
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
Guodong Qi, Huimin Yu
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process
Fangyu Ding, Junchi Yan, Haiyang Wang
Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization
Yixuan Pan, Yao Yao, Yichao Cao et al.
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering
Mingrui Lao, Nan Pu, Yu Liu et al.
CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models
Akshita Jha, Chandan K. Reddy
Code-Aware Cross-Program Transfer Hyperparameter Optimization
Zijia Wang, Xiangyu He, Kehan Chen et al.